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Search DetailsHAMORI ShigeyukiGraduate School of EconomicsResearch Fellow
Researcher basic information
■ Research Keyword■ Research Areas
■ Committee History
- Mar. 2026 - Present, Singapore Economic Review, Senior Associate Editor
- Mar. 2026 - Present, FinTech, Guest Editor, Special Issue, "AI × DeFi × Sustainability: Redesigning the Operating System of Global Finance"
- Mar. 2026 - Present, International Research Institute for Economics and Management, Distinguished Fellow
- Dec. 2025 - Present, Frontiers in Environmental Science, Guest Editor, Research Topic, "Economics and Ecology: Integrated Policy Pathways Toward Sustainable Futures"
- Sep. 2024 - Present, Energies, Guest Editor, Special Issue, "International Finance and Energy Markets: Energy Supplying, Prices, Investments and Trends"
- Aug. 2024 - Present, FinTech, Topical Advisory Panel
- Dec. 2023 - Present, Advances in Decision Sciences, Editorial Board
- Sep. 2022 - Present, Frontiers in Environmental Science, Associate Editor
- Jul. 2021 - Present, National Academy of Technology, Board Member
- Aug. 2020 - Present, Mathematical Problems in Engineering, Editorial Board Member
- Apr. 2020 - Present, International Research Institute for Economics and Management (IRIEM), President
- Mar. 2020 - Present, International Engineering and Technology Institute (IETI), Executive Committee Member
- 2020 - Present, Eurasian Economic Review, Associate Editor (2020-November 2022) Editorial Board (December 2022- )
- Aug. 2019 - Present, Humanities & Social Sciences Communications (Palgrave Communications), Editorial Board Member
- 2019 - Present, SAGE Open, Editorial Board Member
- 2019 - Present, Energies, Topic Editor (2019-2021) , Topical Advisory Panel (2021 - )
- 2018 - Present, International Review of Financial Analysis, Associate Editor
- 2017 - Present, Journal of Risk and Financial Management, Advisory Board Member(2017 - June 2019), Section-Editor-in-Chief (June 2019 - )
- 2012 - Present, Accounting and Finance Research, Editorial Board Member
- Jan. 2025 - Feb. 2026, FinTech, Guest Editor, Special Issue, Financial Technology and Strategic AI Integration in FinTech: Transforming Banking, Payments, and Building a Sustainable Economy—Challenges and Opportunities
- Nov. 2020 - Feb. 2026, Singapore Economic Review, Co-Editor
- Jan. 2025 - Dec. 2025, FinTech, Guest Editor, Special Issue, "FinTech, Financial Technology and Strategic AI Integration in FinTech: Transforming Banking, Payments, and Building a Sustainable Economy - Challenges and Opportunities"
- Aug. 2025 - Aug. 2025, 2025 3rd Artificial Intelligence and Complex Systems Conference (Hong Kong, China, August 9-11, 2025), General Chair
- Aug. 2025 - Aug. 2025, 2025 3rd Artificial Intelligence and Complex Systems Conference, General Chair
- Aug. 2025 - Aug. 2025, 2025 3rd Artificial Intelligence and Complex Systems Conference, Hong Kong, China, August 9-10, 2025, General Chair
- 2023 - 2024, Frontiers in Environmental Science, Guest Editor, Research Topic, "Collaborative economy CE5P (Planet, People, Partnership, Prosperity, Peace)"
- 2022 - 2022, Frontiers in Environmental Science, Guest Editor, Special Issue, "ESG Investment and Its Societal Impacts"
- 2018 - Oct. 2020, Singapore Economic Review, Associate Editor
- Oct. 2018 - Mar. 2020, International Research Institute for Economics and Management (IRIEM), Vice President
- 2020, Energies, Guest Editor, Special Issue, "Empirical Analysis of Natural Gas Markets"
- 2020, Journal of Risk and Financial Management, Guest Editor, Special Issue, "AI and Financial Markets"
- 2017 - 2019, Journal of Management Information and Decision Sciences,, International Advisory Board Member
- 2014 - 2019, International Economics and Finance Journal,, Associate Editor
- 2012 - 2019, Journal of Reviews on Global Economics,, Editorial Board Member
- 2018, Journal of Risk and Financial Management,, Guest Editor, Special Issue, "Empirical Finance"
- 2016, Emerging Markets Finance and Trade,, Guest Editor, Special Issue, "Financial Inclusion, Poverty Reduction, and Economic Growth”
Research activity information
■ Award- Apr. 2024 IETI Transactions on Data Analysis and Forecasting (iTDAF), Best Paper Award
- Mar. 2024 Singapore Economic Review, Outstanding Reviewer in 2023
- Jul. 2022 International Engineering and Technology Institute, IETI Annual Scientific Award
- Jan. 2021 Institute of Data Science and Artificial Intelligence, Distinguished Fellow (DFIDSAI)
- Apr. 2020 Journal of Risk and Financial Management,, Outstanding Reviewer Award
- Feb. 2020 Review of Integrative Business & Economics Research,, RIBER Best Paper Prize
- Jan. 2020 SIBR 2020 Sydney Conference on Interdisciplinary Business & Economics Research,, Best Paper Award
- Sep. 2018 SIBR 2018 Hong Kong Conference on Interdisciplinary Business & Economics Research,, Best Paper AwardInternational society
- 2018 International Engineering and Technology, Institute, Distinguished Fellow (DFIETI)Others
- 2015 Lifescience Glogal, Journal of Reviews on Global Economics, Editor's ChoiceOfficial journal
- 2013 野村ホールディングス株式会社, Nomura AwardOthers
- 2002 村尾育英会, The Murao Award for Young Scholars
- 2026, Singapore Economic Review, forthcoming, EnglishHow Geopolitical Crises Influence BRICS Financial Markets and Macroeconomic Growth: Insights from the Russia-Ukraine War Using GARCH-MIDAS and Quantile Regression[Refereed]Scientific journal
- This study investigates the risk spillovers of economic policy uncertainty (EPU) across macroeconomic and financial systems in China and the United States using mixed-frequency data. Employing Cotter et al.’s (2023) mixed-frequency connectedness approach, this study integrates monthly macroeconomic indicators and weekly financial variables to capture cross-country transmission mechanisms more accurately. In China, domestic EPU mainly affects the macroeconomic sector, whereas in the United States, domestic EPU primarily affects the financial system. Both countries experienced sharply intensified spillovers during the COVID-19 pandemic. These findings highlight the heterogeneity of the effects of policy uncertainty across national systems and underscore the importance of mixed-frequency analysis in developing targeted macroprudential policies.World Scientific Pub Co Pte Ltd, Nov. 2025, The Singapore Economic Review, English[Refereed][Invited]Scientific journal
- Climate change presents significant risks to the global economy and financial markets through both physical and transition channels. This study examines the transmission of climate-related risks, measured by two news-based indicators—the Physical Risk Index (PRI) and the Transition Risk Index (TRI)—to equity markets. Using the Diebold–Yilmaz and Baruník–Křehlík connectedness frameworks, we analyze three representative equity benchmarks: the S&P 500 (SP500), the iShares ESG MSCI KLD 400 Index (DSI), and the iShares Global Clean Energy Index (ICLN). The empirical results show three main findings. First, both the PRI and TRI have relatively weak spillover effects on equity markets but display strong mutual interactions, indicating interdependence between physical and transition risk dimensions. Second, return spillovers are more prominent in the short term, while volatility spillovers dominate over longer horizons, reflecting structural asymmetry in risk transmission. Third, major global shocks—including the 2011 Libyan conflict, the COVID-19 pandemic, and U.S. tariff shocks in 2018 and 2025—increase both return and volatility spillovers. Overall, the findings indicate that volatility is the primary channel for long-term transmission of climate-related uncertainty. Climate-related news, although not yet fully integrated into equity market dynamics, is increasingly relevant for financial stability and the broader energy transition. Therefore, incorporating climate risk considerations into financial market analysis and policy design is necessary.Redfame Publishing, Nov. 2025, Applied Economics and Finance, 12(4) (4), 1 - 21, English[Refereed]Scientific journal
- One primary objective of the early warning system literature is to construct more accurate financial vulnerability prediction models and investigate the mechanisms and key factors that differentiate healthy from vulnerable financial states. Despite the importance of identifying and predicting financial vulnerabilities, existing research does not fully explain whether—and how—the financial behavior associated with corporate bankruptcy differs across crises. This study investigates (1) whether the financial mechanisms of corporate bankruptcy differ across three crises—the Global Financial Crisis, the European debt crisis, and the COVID-19 crisis; (2) whether these crises differ from tranquil periods before the Global Financial Crisis and after the European debt crisis; and (3) how these differences manifest. To conduct this analysis, we introduce a unique framework based on a random forest model, utilizing a corporate bankruptcy dataset spanning 2002–2023. The results show that the bankruptcy mechanisms during the Global Financial Crisis and the European debt crisis are not significantly different, whereas the COVID-19 crisis exhibits distinct characteristics. Additionally, we find that “Credit period days,” “Collection period days,” “Gross margin,” and “Solvency ratio (asset-based)” are key financial factors distinguishing these events.MDPI AG, Aug. 2025, Risks, 13(8) (8), #158, English[Refereed]Scientific journal
- Elsevier BV, Jul. 2025, Journal of Commodity Markets, #100494, English[Refereed]Scientific journal
- Corresponding, Jun. 2025, Singapore Economic Review, 70(03) (03), 537 - 558, English[Refereed]Scientific journal
- Apr. 2025, Journal of Risk and Financial Management, 18(4) (4), #195, EnglishA Multi-Stage Financial Distress Early Warning System: Analyzing Corporate Insolvency with Random Forest[Refereed]Scientific journal
- Elsevier BV, Mar. 2025, Resources Policy, 102(#105518) (#105518), English[Refereed]Scientific journal
- Elsevier BV, Mar. 2025, Energy Economics, 143(#108189) (#108189), English[Refereed]Scientific journal
- World Scientific Pub Co Pte Ltd, Feb. 2025, The Singapore Economic Review, forthcoming, English[Refereed]Scientific journal
- 2025, Singapore Economic Review, forthcoming, EnglishReality Hits Early Warning System: Based on Unsupervised Isolation Forest Anomaly Detection[Refereed]Scientific journal
- 2025, Singapore Economic Review, 70(1) (1), 3 - 71, EnglishTime-varying frequency connectedness analysis across crude oil, geopolitical risk, economic policy uncertainty, and stock markets[Refereed]
- Elsevier BV, Dec. 2024, Journal of International Financial Markets, Institutions and Money, 97(#102078) (#102078), English[Refereed]Scientific journal
- Nov. 2024, Energies, 17(22) (22), #5806, EnglishQuantile Connectedness of Uncertainty Indices, Carbon Emissions, Energy, and Green Assets: Insights from Extreme Market Conditions[Refereed]Scientific journal
- Elsevier BV, Sep. 2024, International Review of Economics & Finance, #103654, English[Refereed]Scientific journal
- Sep. 2024, Eurasian Economic Review, English[Refereed]Scientific journal
- IEEE, Jul. 2024, 2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 541 - 544International conference proceedings
- Elsevier BV, May 2024, International Review of Financial Analysis, 95 Part A, #103359, English[Refereed]Scientific journal
- May 2024, North American Journal of Economics and Finance, 72, #102149, EnglishCan NFTs hedge the risk of traditional assets after the COVID-19 pandemic?[Refereed]Scientific journal
- Elsevier BV, Apr. 2024, Energy Economics, 132, #107473, English[Refereed]Scientific journal
- Springer Science and Business Media LLC, Mar. 2024, International Journal of Economic Policy Studies, 18(2) (2), 341 - 356, English[Refereed]Scientific journal
- Frontiers Media SA, Feb. 2024, Frontiers in Environmental Science, 12, English[Refereed]Scientific journal
- Electric vehicles (EVs) are regarded as a key low-carbon technology to address sustainability challenges like climate change and air pollution. However, the real-world environmental impacts resulting from rapid EV adoption remain uncertain. This study develops a theoretical framework to quantify the impacts of EV adoption on energy consumption, carbon emissions, and air quality. Then we empirically investigates the influence of surging EV uptake in China using provincial panel data from 2015 to 2020. Our results indicate that increased EV stocks significantly reduced gasoline consumption but boosted coal-based power demand, shifting emissions and air pollutants from transportation to the electricity sector rather than yielding absolute reductions. We find important regional heterogeneity based on differences in grid generation profiles. In provinces more reliant on coal power, the environmental impacts were more severe. The findings also reveal a spatial spillover effect, with emissions transferred from net power-importing regions to exporters. Overall, the rapid EV transition alone appears insufficient to guarantee emissions cuts and environmental gains. Complementary efforts across sectors are essential to align industrial promotion with sustainability objectives. The empirical evidence informs integrated policy design and metrics to maximize decarbonization as EVs are deployed globally. Future research can build on this study by expanding geographical scope, incorporating projections, adopting a multi-disciplinary lens, leveraging microdata, and applying cutting-edge analytical techniques. Pursuing these directions will further advance knowledge on sustainable EV transitions.Frontiers Media SA, Jan. 2024, Frontiers in Environmental Science, 11, English[Refereed]Scientific journal
- Oct. 2023, International Review of Financial Analysis, 89(#102735) (#102735), EnglishThe impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments[Refereed]Scientific journal
- Sep. 2023, Sustainability, 15(19) (19), #14445, EnglishDifferential Tail Dependence between Crude Oil and Forex Markets in Oil-Importing and Oil-Exporting Countries during Recent Crisis Periods, Sustainability[Refereed]Scientific journal
- Informa UK Limited, Aug. 2023, Applied Economics, 1 - 13Scientific journal
- Jun. 2023, Journal of Risk and Financial Management, 16(6) (6), #298, EnglishDo Large Datasets or Hybrid Integrated Models Outperform Simple Ones in Predicting Commodity Prices and Foreign Exchange Rates?[Refereed]Scientific journal
- May 2023, International Review of Financial Analysis, 87(#102618) (#102618), EnglishModeling the global sovereign credit network under climate change[Refereed]Scientific journal
- Apr. 2023, Emerging Markets Finance and Trade, 59(8) (8), 2775 - 2785, English[Refereed]Scientific journal
- Mar. 2023, International Review of Economics & Finance, 84, 55 - 69, English[Refereed]Scientific journal
- Air pollution was a serious issue in China in the early 2010s, threatening public health and sustainable economic development. The Chinese government established a new environmental protection law in 2015 in order to address air pollution and other environmental issues. This paper investigates the impact of the new environmental law and ESG investments on air pollution and social happiness. We discovered that the implementation of the new environmental law and ESG investments significantly improved social happiness by reducing air pollution. One unit increase in ESG investments would result in a 0.334 unit decrease in air pollution and 0.225 unit increase in social happiness.Frontiers Media SA, Jan. 2023, Frontiers in Environmental Science, 11, #1089486, English[Refereed]Scientific journal
- Corresponding, 2023, IETI Transactions on Data Analysis and Forecasting, 1(1) (1), 54 - 65, English[Refereed]Scientific journal
- Lead, Frontiers Media SA, Nov. 2022, Frontiers in Environmental Science, 10(#1088821) (#1088821), English[Refereed]Scientific journal
- Elsevier BV, Oct. 2022, International Review of Financial Analysis, 83(#102223) (#102223), English[Refereed]Scientific journal
- Aug. 2022, Frontiers in Environmental Science, 25, EnglishPolicy effect of the “blue sky plan” on air pollution, ESG investment, and financial performance of china’s steel industry[Refereed]Scientific journal
- 2022, Economic Analysis and Policy, 76, 182 - 203, EnglishA connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy[Refereed]Scientific journal
- 2022, Singapore Economic Review, 近刊, English[Refereed]Scientific journal
- 2022, Singapore Economic Review, 近刊, English[Refereed]Scientific journal
- 2022, Problems of Information Society, 13(1) (1), 95 - 109, EnglishASSESSMENT OF THE IMPACT OF ECONOMIC AGENT VULNERABILITY ON ECONOMIC - FINANCIAL PERFORMANCE INDICATORS[Refereed]Scientific journal
- Nov. 2021, Resources Policy, 74(#102400) (#102400), EnglishDo crude oil prices and the sentiment index influence foreign exchange rates differently in oil-importing and oil-exporting countries? A dynamic connectedness analysis[Refereed]Scientific journal
- Elsevier BV, Nov. 2021, The Quarterly Review of Economics and Finance, 82, 145 - 162, English[Refereed]Scientific journal
- Elsevier BV, Oct. 2021, International Review of Financial Analysis, 77(#101864) (#101864), English[Refereed]Scientific journal
- Elsevier BV, Oct. 2021, International Review of Financial Analysis, 77(#101855) (#101855), English[Refereed]Scientific journal
- Elsevier BV, Sep. 2021, Journal of International Money and Finance, 116(#102412) (#102412), English[Refereed]Scientific journal
- Springer Singapore, Jul. 2021, SpringerBriefs in Economics, 21 - 35In book
- Springer Singapore, Jul. 2021, SpringerBriefs in Economics, 71 - 100In book
- Springer Science and Business Media LLC, Jun. 2021, Empirical Economics, 62, 1495 - 1515, English[Refereed]Scientific journal
- We investigated the connectedness of the returns and volatility of clean energy stock, technology stock, crude oil, natural gas, and investor sentiment based on the time-varying parameter vector autoregressive (TVP-VAR) connectedness approach. The empirical results indicate that the average total connectedness is higher in the volatility system than in the return system. The investor sentiment has a weak impact on clean energy stock. Our results show that the dynamic total connectedness across assets in the system varies with time. Furthermore, the dynamic total connectedness increases significantly during financial turmoil. Dynamic total volatility connectedness is more sensitive to financial turmoil. By comparing the connectedness estimated by the TVP-VAR model with the rolling-window VAR model, we find the dynamic total return connectedness of the TVP-VAR model is similar to the estimated results of a 200 day rolling-window VAR model.MDPI AG, Jun. 2021, Energies, 14(12) (12), #3442, English[Refereed]Scientific journal
- This study analyzes the importance of the Tokyo Stock Exchange Co-Location dataset (TSE Co-Location dataset) to forecast the realized volatility (RV) of Tokyo stock price index futures. The heterogeneous autoregressive (HAR) model is a popular linear regression model used to forecast RV. This study expands the HAR model using the TSE Co-Location dataset, stock full-board dataset and market volume dataset based on the random forest method, which is a popular machine learning algorithm and a nonlinear model. The TSE Co-Location dataset is a new dataset. This is the only information that shows the transaction status of high-frequency traders. In contrast, the stock full-board dataset shows the status of buying and selling dominance. The market volume dataset is used as a proxy for liquidity and is recognized as important information in finance. To the best of our knowledge, this study is the first to use the TSE co-location dataset. The experimental results show that our model yields a higher forecast out-of-sample accuracy of RV than the HAR model. Moreover, we find that the TSE Co-Location dataset has become more important in recent years, along with the increasing importance of high-frequency trading.MDPI AG, May 2021, Journal of Risk and Financial Management, 14(5) (5), #215 - 215, English[Refereed]Scientific journal
- Elsevier BV, Apr. 2021, The North American Journal of Economics and Finance, 56(#101360) (#101360)[Refereed]Scientific journal
- Elsevier BV, Mar. 2021, International Review of Financial Analysis, 74(#101702) (#101702), English[Refereed]Scientific journal
- Elsevier BV, Mar. 2021, Economic Analysis and Policy, 69, 142 - 158, English[Refereed]Scientific journal
- Accurate and timely macro forecasting requires new and powerful predictors. Carbon emissions data with high trading frequency and short releasing lag could play such a role under the framework of mixed data sampling regression techniques. This paper explores the China case in this regard. We find that our multiple autoregressive distributed lag model with mixed data sampling method setup outperforms either the auto-regressive or autoregressive distributed lag benchmark in both in-sample and out-of-sample nowcasting for not only the monthly changes of the purchasing managers’ index in China but also the Chinese quarterly GDP growth. Moreover, it is demonstrated that such capability operates better in nowcasting than h-step ahead forecasting, and remains prominent even after we account for commonly-used macroeconomic predictive factors. The underlying mechanism lies in the critical connection between the demand for carbon emission in excess of the expected quota and the production expansion decision of manufacturers.MDPI AG, Feb. 2021, Energies, 14(5) (5), 1271 - 1271, English[Refereed]Scientific journal
- In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants. Thus, exploring stock price crash determinants is helpful for investment decisions and risk management. In this study, we use samples of major market index components in Europe, the United States, and Japan to perform regression analyses, after controlling for other potential stock price crash determinants. We estimate static two-way fixed-effect models and dynamic GMM models. We find that coefficients of firm-level ESG disclosures are not statistically significant in the static model. ESG disclosure coefficients in the dynamic model are not statistically significant in the U.S. market sample. On the other hand, coefficients of ESG disclosure scores in the dynamic model are statistically significant and negative in the European and Japanese marker sample. Our findings suggest that ESG disclosures lower future stock price crash risk; however, the effect and predictive power of ESG disclosures differ among regions.MDPI AG, Feb. 2021, Journal of Risk and Financial Management, 14(2) (2), 70 - 70, English[Refereed]Scientific journal
- Springer Singapore, 2021, SpringerBriefs in Economics
- 2021, Review of Integrative Business & Economics Research, 10(1) (1), 34 - 50, EnglishForecasting WTI Futures Prices Using Recurrent Neural Networks[Refereed]Scientific journal
- We have published a lot of interesting and excellent research articles in the Journal of Risk and Financial Management [...]Lead, MDPI AG, Dec. 2020, Journal of Risk and Financial Management, 13(12) (12), 1 - 2, English[Refereed]Scientific journal
- In this study, we introduce the concept of differentiated quality inputs with knowledge-driven specifications for research and development (R&D) under an open economy to the endogenous growth model of knowledge spillover. Using matching industry enterprise and customs data from 2001 to 2007, which is representative of micro data at the Chinese industry level, we theoretically analyze the influence of the quality and variety of imported products on Chinese enterprises’ innovation and economic growth. We find that, first, the improvement of the quality and variety of new imported products can promote enterprise innovation. Second, new imported intermediate inputs and capital goods, new imported high-technology products, and products imported from Organization for Economic Co-operation and Development (OECD) countries have stronger promoting effects on enterprise innovation. We conclude that imported products stimulate the growth of the economy through two channels: expanding the variety and increasing the quality of inputs. To verify the stability of our model, we conducted robustness tests by defining new imported products based on a base year, measuring enterprise innovation by the number of patent applications, and measuring the quality of new imported products in a new way.MDPI AG, Nov. 2020, Sustainability, 12(22) (22), 1 - 20, English[Refereed]Scientific journal
- Elsevier BV, Nov. 2020, The North American Journal of Economics and Finance, 54(101220) (101220), 101220 - 101220, English[Refereed]Scientific journal
- Elsevier BV, Nov. 2020, Journal of Multivariate Analysis, 180, 104654 - 104654, English[Refereed]Scientific journal
- Oct. 2020, Energy & Environment, 31(8) (8), 1416 - 1447, English[Refereed]Scientific journal
- Oct. 2020, Journal of Forecasting, 39(7) (7), 1035 - 1042, English[Refereed]Scientific journal
- Jul. 2020, Energies, 13(14) (14), 1 - 27, EnglishForecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach[Refereed]Scientific journal
- This paper examines the spillovers of return and volatility transmitted from fossil energies (crude oil and natural gas) and several important financial variables (stock market index, bonds, and the volatility index) to renewable stock markets in the US and Europe under the time-frequency domain frameworks. The total spillovers of return and volatility from all variables to renewable stock markets in the US are higher than those in Europe. Stock markets transmit the highest return spillovers to renewable energy stocks, which far exceed the spillovers from fossil energy to renewable energy stocks in both regions. In addition, both return and volatility spillovers could be enhanced, possibly due to specific events or sudden changes in prices. In particular, extreme events such as the Brexit referendum in 2016 influenced mostly the volatility spillovers across European markets. Moreover, the spillovers of return and volatility are contingent on frequency, and most return spillovers are concentrated at the high frequency, whereas most volatility spillovers are concentrated at the low frequency. These results remind investors that it is necessary to consider the investment horizon when making their financial decisions on renewable energy investment.MDPI AG, Jun. 2020, Energies, 13(12) (12), #3162, English[Refereed]Scientific journal
- In this paper, we examine the role of Brazil, Russia, India, China and South Africa’s (BRICS) currency in energy market by using vine copula method. The value-at-risk (VaR) and expected shortfall of two portfolios are calculated. One is a benchmark portfolio which is consisted of only energy prices, the other is a portfolio which adding the BRICS’s exchange rate into the benchmark portfolio. The data period is from 24 August 2010 to 29 November 2019. Our results show the BRICS’s currency can reduce the risk in energy investment.World Scientific Pub Co Pte Lt, Jun. 2020, The Singapore Economic Review, 65(04) (04), 805 - 836, English[Refereed]Scientific journal
- Elsevier BV, Jun. 2020, Journal of Asian Economics, 68(C) (C), 101200 - 101200, English[Refereed]Scientific journal
- This paper examines a causal relationship between energy consumption, human capital and GDP for the ASEAN-5 (namely, Malaysia, Indonesia, Thailand, Singapore and the Philippines) over the period 1965–2011. It differs from the existing energy-growth nexus literature greatly by taking into consideration the role of human capital across countries. Both the single-equation estimation and the Johansen’s cointegration analysis suggest the presence of a long-run relationship among these variables. The exclusion test finds that human capital is a crucial factor in the cointegration space as much as conventional inputs of physical capital; and energy seems to play a less important role when human capital increases, indicating a possible substitution effect between the two variables. Using the Toda–Yamamoto test, it finds no long-run Granger causal link between energy use and economic development in the two net energy-exporter countries Malaysia and Indonesia and the city state Singapore, while in the Philippines economic growth Granger causes energy use and in Thailand a feedback effect is identified. Based on these results, policy implications are drawn.World Scientific Pub Co Pte Lt, Jun. 2020, The Singapore Economic Review, 65(03) (03), 683 - 714, English[Refereed]Scientific journal
- May 2020, Risks, 8(2) (2), 1 - 16, EnglishDiversification and Desynchronicity: An Organizational Portfolio Perspective on Corporate Risk Reduction[Refereed]Scientific journal
- May 2020, Energies, 13(10) (10), 1 - 18, EnglishThe Response of US Macroeconomic Aggregates to Price Shocks in Crude Oil vs. Natural Gas[Refereed]Scientific journal
- May 2020, Energies, 13(10) (10), 1 - 14, EnglishForecasting Crude Oil Market Crashes Using Machine Learning Technologies[Refereed]Scientific journal
- May 2020, Energies, 13(9) (9), 1 - 25, EnglishDo Machine Learning Techniques and Dynamic Methods Help Forecast US Natural Gas Crises?[Refereed]Scientific journal
- Corresponding, Apr. 2020, Energies, 13(8) (8), 1 - 20, EnglishInfluence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe[Refereed]Scientific journal
- Mar. 2020, Applied Economics Letters, 27(5) (5), 400 - 405, English[Refereed]Scientific journal
- Corresponding, Mar. 2020, Energies, 13(5) (5), 1 - 21, English[Refereed]Scientific journal
- Corresponding, {MDPI} {AG}, Mar. 2020, Journal of Risk and Financial Management, 13(3) (3), 48 - 48, English[Refereed]Scientific journal
- Corresponding, {MDPI} {AG}, Feb. 2020, Energies, 13(3) (3), 727 - 727, English[Refereed]Scientific journal
- Corresponding, Feb. 2020, Empirical Economics, 58(2) (2), 393 - 425, English[Refereed]Scientific journal
- Corresponding, Feb. 2020, Applied Economics and Finance, 7(2) (2), 51 - 56, EnglishDoes ensemble learning always lead to better forecasts?[Refereed]Scientific journal
- {MDPI} {AG}, Jan. 2020, Energies, 13(2) (2), 294 - 294, English[Refereed]Scientific journal
- {MDPI} {AG}, Jan. 2020, Journal of Risk and Financial Management, 13(1) (1), 6 - 6, English[Refereed]Scientific journal
- Corresponding, 2020, Review of Integrative Business & Economics Research,, 19(4) (4), 19 - 35, EnglishApplication of Network Analysis to Cryptocurrency in the Global Financial Market[Refereed]Scientific journal
- Corresponding, Oct. 2019, Energies, 12(21) (21), 1 - 15, English[Refereed]Scientific journal
- Oct. 2019, Applied Economics Letters, 26(18) (18), 1548 - 1551[Refereed]Scientific journal
- Corresponding, Oct. 2019, Economic Inquiry, 57(4) (4), 2017 - 2034, English[Refereed]Scientific journal
- Corresponding, Oct. 2019, Energies, 12(20) (20), 1 - 28, English[Refereed]Scientific journal
- Sep. 2019, Journal of Multivariate Analysis, 173, 85 - 109, English[Refereed]Scientific journal
- Corresponding, {MDPI} {AG}, Jun. 2019, Journal of Risk and Financial Management, 12(2) (2), 99 - 99, English[Refereed]Scientific journal
- Jun. 2019, Singapore Economic Review, 64(3) (3), 773 - 798, English[Refereed]Scientific journal
- Corresponding, May 2019, China Agricultural Economic Review, 11(2) (2), 373 - 386, English[Refereed]Scientific journal
- Jan. 2019, Journal of Risk and Financial Management, 12(1) (1), 9 - 9, English[Refereed]Scientific journal
- 2019, North American Journal of Economics and Finance, 48, 567 - 581, English[Refereed]Scientific journal
- Corresponding, Dec. 2018, Journal of Risk and Financial Management, 11(4) (4), 1 - 16, English[Refereed]Scientific journal
- Dec. 2018, Journal of Risk and Financial Management, 11(4) (4), 1 - 11, English[Refereed]Scientific journal
- Nov. 2018, Proceedings - International Conference on Pattern Recognition, 2018-August, 830 - 835, English[Refereed]International conference proceedings
- Nov. 2018, Sustainability (Switzerland), 10(11) (11), 1 - 17[Refereed]Scientific journal
- Oct. 2018, Energies, 11(11) (11), 1 - 18, English[Refereed]Scientific journal
- Oct. 2018, International Review of Financial Analysis, 59, 19 - 34, English[Refereed]Scientific journal
- {MDPI} {AG}, Sep. 2018, Journal of Risk and Financial Management, 11(4) (4), 57 - 57, English[Refereed]Scientific journal
- Corresponding, Sep. 2018, ANNALS OF FINANCIAL ECONOMICS, 13(3) (3), 1 - 20, English[Refereed]Scientific journal
- Jul. 2018, North American Journal of Economics and Finance, 45, 116 - 137, English[Refereed]Scientific journal
- Corresponding, May 2018, Sustainability (Switzerland), 10(5) (5), 1 - 18[Refereed]Scientific journal
- May 2018, Annals of Financial Economics, 13(1) (1), 1 - 25, EnglishTHE DETERMINANTS OF A SIMULTANEOUS CRASH IN GOLD AND STOCK MARKETS: AN ORDERED LOGIT APPROACH[Refereed]Scientific journal
- Apr. 2018, North American Journal of Economics and Finance, 44, 140 - 152, English[Refereed]Scientific journal
- {MDPI} {AG}, Mar. 2018, Journal of Risk and Financial Management, 11(1) (1), 12 - 12, English[Refereed]Scientific journal
- Jan. 2018, Sustainability, 10(2) (2), 1 - 23, English[Refereed]Scientific journal
- 2018, Advances in Decision Sciences, 22, 1 - 22, EnglishArtificial Intelligence and Economic Growth[Refereed]Scientific journal
- Dec. 2017, Journal of Management Information and Decision Science, 20(Specialissue1) (Specialissue1)Forecasting the vulnerability of industrial economic activities: Predicting the bankruptcy of companies[Refereed]Scientific journal
- May 2017, Journal of International Financial Markets, Institutions and Money, 48, 206 - 223[Refereed]Scientific journal
- May 2017, International Review of Economics and Finance, 49, 536 - 547, English[Refereed]Scientific journal
- Mar. 2017, Applied Economics Letters, 24(6) (6), 422 - 426[Refereed]Scientific journal
- 2017, Singapore Economic Review[Refereed]Scientific journal
- 2017, International Journal of Economics and Finance;, 9(8) (8), 162 - 178, EnglishVolatility and Causality in Strategic Commodities: Characteristics, Myth and Evidence[Refereed]Scientific journal
- Corresponding, 2017, Applied Economics and Finance, 4(2) (2), 1 - 10, EnglishStock market integration in China: Evidence from the asymmetric DCC model and copula approach[Refereed]Scientific journal
- Nov. 2016, North American Journal of Economics and Finance, 38, 163 - 171[Refereed]Scientific journal
- Elsevier BV, Nov. 2016, Economics Letters, 148, 118 - 121, English[Refereed]Scientific journal
- Oct. 2016, Applied Economics, 48(46) (46), 4419 - 4425[Refereed]Scientific journal
- Aug. 2016, Applied Economics, 48(40) (40), 3789 - 3803[Refereed]Scientific journal
- Jun. 2016, Economic Modelling, 55, 6 - 14, English[Refereed]Scientific journal
- Mar. 2016, Applied Economics, 48(12) (12), 1130 - 1139[Refereed]Scientific journal
- Mar. 2016, Emerging Markets Finance and Trade, 52(3) (3), 722 - 723[Refereed]Scientific journal
- Mar. 2016, Emerging Markets Finance and Trade, 52(3) (3), 743 - 753[Refereed]International conference proceedings
- Mar. 2016, Emerging Markets Finance and Trade, 52(3) (3), 765 - 774[Refereed]International conference proceedings
- World Scientific Publishing Co. Pte. Ltd., Feb. 2016, Financial Linkages, Remittances, and Resource Dependence in East Asia, 83 - 100, EnglishIn book
- World Scientific Publishing Co. Pte. Ltd., Feb. 2016, Financial Linkages, Remittances, and Resource Dependence in East Asia, 101 - 117, EnglishIn book
- 2016, Research in International Business and Finance, 36, 288 - 296[Refereed]Scientific journal
- 2016, Applied Economics Letters, 23(2) (2), 151 - 155[Refereed]Scientific journal
- 2016, Emerging Markets Finance and Trade, 52(2) (2), 351 - 363, English[Refereed]Scientific journal
- 2016, Singapore Economic Review, 64(3) (3), 773 - 798[Refereed]Scientific journal
- 2015, Journal of Banking and Finance, 61, 158 - 171[Refereed]Scientific journal
- 2015, Economic Modelling, 51, 308 - 314, English[Refereed]Scientific journal
- 2015, North American Journal of Economics and Finance, 32, 124 - 138, English[Refereed]Scientific journal
- 2015, Applied Economics Letters, 22(9) (9), 725 - 729[Refereed]Scientific journal
- 2015, Journal of Reviews on Global Economics, 4, 43 - 50, EnglishAre the Hot IPOs Still Relevant? Evidence from China’s Growth Enterprise Market[Refereed]Scientific journal
- 2015, Theoretical Economics Letters, 5(1) (1), 1 - 3, EnglishOn the relationship between estimate and its t value[Refereed]Scientific journal
- Lifescience Global, Aug. 2014, Journal of Reviews on Global Economics, 3, 293 - 309, EnglishExchange Rate Flexibility and the Integration of the Securities Market in East Asia[Refereed]Scientific journal
- 2014, North American Journal of Economics and Finance, 30, 122 - 132[Refereed]Scientific journal
- 2014, Pacific Basin Finance Journal, 26, 145 - 155, English[Refereed]Scientific journal
- 2014, Research in International Business and Finance, 30(1) (1), 83 - 90[Refereed]Scientific journal
- 2014, Applied Financial Economics, 24(2) (2), 139 - 143[Refereed]Scientific journal
- 2014, Applied Economics Letters, 21(8) (8), 522 - 527[Refereed]Scientific journal
- 2014, Journal of International Financial Markets, Institutions and Money, 29(1) (1), 1 - 12[Refereed]Scientific journal
- Indian Economy: Empirical Analysis on Monetary and Financial Issues in India, 2014, Indian Economy: Empirical Analysis on Monetary and Financial Issues in India, 1 - 154[Refereed]Scientific journal
- 2014, Journal of Economics and Finance, 38(4) (4), 687 - 697[Refereed]Scientific journal
- 2014, Applied Financial Economics, 24(1) (1), 41 - 50[Refereed]Scientific journal
- 2014, Applied Economics, 46(34) (34), 4190 - 4204[Refereed]Scientific journal
- 2014, Journal of International Financial Markets, Institutions and Money, 29(1) (1), 109 - 125, English[Refereed]Scientific journal
- 2014, Applied Economics, 46(35) (35), 4318 - 4333, English[Refereed]Scientific journal
- 2014, International Review of Economics and Finance, 31, 105 - 113[Refereed]Scientific journal
- 2014, Journal of Economics and Finance, 38(4) (4), 627 - 642[Refereed]Scientific journal
- 2014, Journal of Reviews on Global Economics, 3, 1 - 6, EnglishThe Phillips Curve in the United States and Canada: A GARCHDCC Analysis[Refereed]Scientific journal
- Corresponding, 2014, International Journal of Financial Research, 5(4) (4), 90 - 97, EnglishCointegration with Regime Shift between Gold and Financial Variables[Refereed]Scientific journal
- Corresponding, 2014, Applied Economcis, 46(14) (14), 1652 - 1664, English[Refereed]Scientific journal
- 2013, Applied Economics Letters, 20(3) (3), 262 - 266[Refereed]Scientific journal
- 2013, Applied Financial Economics, 23(1) (1), 27 - 40[Refereed]Scientific journal
- 2013, Energy Policy, 62, 869 - 877[Refereed]Scientific journal
- 2013, North American Journal of Economics and Finance, 27, 104 - 113[Refereed]Scientific journal
- 2013, Journal of International Development, 25(7) (7), 987 - 1004, English[Refereed]Scientific journal
- 2013, Applied Financial Economics, 23(20) (20), 1567 - 1578[Refereed]Scientific journal
- 2013, Transition Studies Review, 20(2) (2), 179 - 189[Refereed]Scientific journal
- 2013, Applied Economics Letters, 20(4) (4), 404 - 409[Refereed]Scientific journal
- 2013, Applied Financial Economics, 23(23) (23), 1805 - 1817[Refereed]Scientific journal
- 2013, Applied Financial Economics, 23(12) (12), 1033 - 1041[Refereed]Scientific journal
- 2013, Journal of Asian Economics, 24, 117 - 123[Refereed]Scientific journal
- 2013, Applied Economics, 45(33) (33), 4651 - 4661, English[Refereed]Scientific journal
- 2013, European Journal of Finance, 19(10) (10), 939 - 950[Refereed]Scientific journal
- 2013, Applied Financial Economics, 23(6) (6), 475 - 481[Refereed]Scientific journal
- Taylor and Francis, Jan. 2013, Financial Globalization and Regionalism in East Asia, 47 - 57, EnglishIn book
- 2013, Journal of Reviews on Global Economics, 2, 278 - 290, EnglishDynamic Linkages among Foreign Exchange, Stock, and Commodity Markets in Northeast Asian Countries: Effects from Two Recent Crises[Refereed]Scientific journal
- Corresponding, 2013, International Journal of Financial Research, 4(1) (1), 46 - 53, EnglishOn Time-varying Linkages among LIBOR Rates for Major European Currencies[Refereed]Scientific journal
- Corresponding, 2013, International Journal of Financial Research, 4(2) (2), 33 - 41, EnglishOn the Influence of Oil Price Shocks on Economic Activity, Inflation, and Exchange Rates[Refereed]Scientific journal
- 2013, Applied Economics Letters, 20(8) (8), 742 - 747[Refereed]Scientific journal
- Sep. 2012, Indian Economic Journal, 60(2) (2), 126 - 133, EnglishAn Empirical Analysis of the Monetary Policy Reaction Function in India[Refereed]Scientific journal
- Sep. 2012, Accounting and Finance Research, 1(2) (2), 101 - 108, EnglishTesting for rational bubbles in the commodity market[Refereed]Scientific journal
- 2012, Applied Economics Letters, 19(2) (2), 161 - 165[Refereed]Scientific journal
- 2012, Applied Economics Letters, 19(15) (15), 1483 - 1486[Refereed]Scientific journal
- 2012, Applied Financial Economics, 22(11) (11), 849 - 862[Refereed]Scientific journal
- 2012, Journal of Asian Economics, 23(4) (4), 353 - 359[Refereed]Scientific journal
- 2012, Economics Bulletin, 32(3) (3), 2353 - 2365Small sample properties of CIPS panel unit root test under conditional and unconditional heteroskedasticity[Refereed]Scientific journal
- 2012, Journal of Asian Economics, 23(4) (4), 344 - 352[Refereed]Scientific journal
- 2012, Research in International Business and Finance, 26(3) (3), 371 - 386[Refereed]Scientific journal
- 2012, Journal of International Financial Markets, Institutions and Money, 22(2) (2), 381 - 394[Refereed]Scientific journal
- 2012, Applied Financial Economics, 22(5) (5), 395 - 408[Refereed]Scientific journal
- 2012, Economics Bulletin, 32(2) (2), 1282 - 1290Informational roles of commodity prices for monetary policy: Evidence from the euro area[Refereed]Scientific journal
- 2012, Economics Bulletin, 32(1) (1), 37 - 50Exploring the dynamic interdependence between gold and other financial markets[Refereed]Scientific journal
- World Scientific Publishing Co., Jan. 2012, Global Linkages and Economic Rebalancing in East Asia, 85 - 108, EnglishIn book
- 2012, Journal of Reviews on Global Economics, 1, 139 - 149, EnglishEconomic Openness and Growth in China and India: A Comparative Study[Refereed]Scientific journal
- 2012, Journal of Reviews on Global Economics, 1, 41 - 46, EnglishReal Oil Prices, Real Economic Activity, Real Interest Rates, and the US Dollar: A Cointegration Analysis with Structural Breaks[Refereed]Scientific journal
- Jan. 2012, Economics Bulletin, 32(1) (1), 437 - 448, EnglishA dynamic conditional correlation analysis of European stock markets from the perspective of the Greek sovereign debt crisis[Refereed]Scientific journal
- Sep. 2011, Economics Bulletin, 31(3) (3), 2725 - 2735, EnglishAn empirical analysis on the efficiency of the microfinance investment market[Refereed]Scientific journal
- 2011, Journal of Cleaner Production, 19(12) (12), 1306 - 1314[Refereed]Scientific journal
- 2011, Economics Bulletin, 31(4) (4), 3339 - 3353Transmission of stock prices amongst European countries before and during the Greek sovereign debt crisis[Refereed]Scientific journal
- 2011, Economics Bulletin, 31(3) (3), 2090 - 2097The sustainability of trade balances in China[Refereed]Scientific journal
- 2011, Economics Bulletin, 31(3) (3), 2674 - 2682Panel cointegration analysis of the Fisher effect: Evidence from the US, the UK, and Japan[Refereed]Scientific journal
- 2011, Applied Economics, 43(10) (10), 1187 - 1191[Refereed]Scientific journal
- 2011, Journal of Futures Markets, 31(5) (5), 487 - 501[Refereed]Scientific journal
- 2011, Energy Policy, 39(4) (4), 1958 - 1964, English[Refereed]Scientific journal
- 2011, Economics Bulletin, 31(2) (2), 1576 - 1591Estimating the import demand function in the autoregressive distributed lag framework: The case of China[Refereed]Scientific journal
- 2010, Journal of Asian Economics, 21(5) (5), 494 - 501[Refereed]Scientific journal
- 2010, Energy Policy, 38(5) (5), 2470 - 2476[Refereed]Scientific journal
- 2010, Economics Bulletin, 30(4) (4), 1 - 12Dynamic linkages of stock prices among G7 countries: Effects of the American financial crisis[Refereed]Scientific journal
- 2010, Economics Bulletin, 30(1) (1), 879 - 892The interdependence of Taiwanese and Japanese stock prices[Refereed]Scientific journal
- 2010, Economics Bulletin, 30(1) (1), 893 - 902The size of the underground economy in Japan[Refereed]Scientific journal
- 2010, Economics Bulletin, 30(3) (3), 2524 - 2532, EnglishThe efficiency of the Chinese stock market and the role of market liberalization[Refereed]Scientific journal
- 2009, China and World Economy, 17(4) (4), 53 - 71[Refereed]Scientific journal
- 2009, Empirical Economics, 36(1) (1), 27 - 54[Refereed]Scientific journal
- 2009, Applied Economics Letters, 16(17) (17), 1691 - 1694[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(1) (1), 56 - 66On the sustainability of budget deficits in the euro area[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(1) (1), 38 - 50Price and wage setting in Japan: An empirical investigation[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(3) (3), 1981 - 1989Saving-investment relationship and capital mobility: Evidence from Chinese provincial data, 1980-2007[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(4) (4), 2803 - 2815What explains real and nominal exchange rate fluctuations?: Evidence from SVAR analysis for India[Refereed]Scientific journal
- 2009, Applied Economics Letters, 16(11) (11), 1113 - 1116[Refereed]Scientific journal
- 2009, China Economic Review, 20(2) (2), 143 - 152[Refereed]Scientific journal
- 2009, Applied Econometrics and International Development, 9(1) (1), 177 - 186An empirical analysis of chinese rural labour migration using a multinomial logit model[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(3) (3), 2025 - 2037Globalization, financial depth, and inequality in Sub-Saharan Africa[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(3) (3), 1990 - 1999Empirical analysis of export demand behavior of LDCs: Panel cointegration approach[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(2) (2), 1443 - 1458Empirical analysis of import demand behavior of least developed countries[Refereed]Scientific journal
- 2009, Economics Bulletin, 29(2) (2), 1224 - 1245An empirical analysis of the money demand function in India[Refereed]Scientific journal
- 2009, Research in Applied Economics, 1(1) (1), 1 - 12, EnglishMicrofinance and inequality[Refereed]Scientific journal
- 2009, International Journal of Applied Economics, 6(1) (1), 77 - 89, EnglishGrowth rate of domestic credit and output: Evidence of the asymmetric relationship between Japan and he United States[Refereed]Scientific journal
- 2009, ICFAI Journal of Applied Economics, 8(1) (1), 7 - 19, EnglishBusiness cycle transmission between Madagascar, Seychelles, and their major economic partners[Refereed]Scientific journal
- 2008, Economic Systems, 32(3) (3), 274 - 284[Refereed]Scientific journal
- 2008, Economic Modelling, 25(2) (2), 274 - 283[Refereed]Scientific journal
- 2008, Economics Bulletin, 15(4) (4)Empirical analysis of the money demand function in Sub-Saharan Africa[Refereed]Scientific journal
- 2008, Journal of Economic and Social Measurement, 33(4) (4), 221 - 239Measuring response of output growth to changes in yield spread in a state switching framework[Refereed]Scientific journal
- 2008, Studies in Economics and Finance, 25(1) (1), 4 - 20[Refereed]Scientific journal
- 2008, Empirical Economics Letters, 7(12) (12), 1221 - 1228, EnglishSome evidence on the import demand function for G-7 countries[Refereed]Scientific journal
- 2008, Empirical Economics Letters, 7(11) (11), 1143 - 1148, EnglishEstimation of the marginal abatement cost of carbon dioxide with environmental accounting data in Japan[Refereed]Scientific journal
- 2008, Economics Bulletin, 10(14) (14), 1 - 17, EnglishDo Chinese employers discriminate against females when hiring employees?[Refereed]Scientific journal
- 2008, Applied Econometrics and International Development, 8(2) (2), 13 - 22, EnglishTrade balances and the terms of trade in G-7 countries: Panel cointegration approach[Refereed]Scientific journal
- 2007, Economic Systems, 31(3) (3), 256 - 271[Refereed]Scientific journal
- 2007, Asia-Pacific Financial Markets, 14(1-2) (1-2), 141 - 156[Refereed]Scientific journal
- 2007, Economics Bulletin, 15(19) (19)International capital flows and the Frankel-Dooley-Mathieson puzzle[Refereed]Scientific journal
- 2007, Economics Bulletin, 15(23) (23)An empirical analysis about population, technological progress, and economic growth in Taiwan[Refereed]Scientific journal
- 2007, Economics Bulletin, 6(32) (32)Sources of real and nominal exchange rate movements for the Euro[Refereed]Scientific journal
- 2007, Economics Bulletin, 5(13) (13), 1 - 7The information role of commodity prices in formulating monetary policy: Some evidence from Japan[Refereed]Scientific journal
- 2006, Statistical Papers, 47(1) (1), 109 - 124[Refereed]Scientific journal
- 2006, Applied Financial Economics Letters, 2(2) (2), 77 - 86[Refereed]Scientific journal
- 2006, Applied Economics Letters, 13(8) (8), 535 - 539[Refereed]Scientific journal
- 2006, Asia-Pacific Financial Markets, 13(1) (1), 1 - 9[Refereed]Scientific journal
- Lead, 2006, Progress in Economics Research, 9, 1 - 10, EnglishDo international stock prices reflect international business cycles?[Refereed]Scientific journal
- Lead, 2006, Empirical Economics Letters, 5, 66 - 75, EnglishEmpirical evidence on commodity futures prices in Tokyo grain market: the component GARCH approach[Refereed]Scientific journal
- 2005, Journal of African Economies, 14(3) (3), 411 - 434[Refereed]Scientific journal
- 2005, Energy Economics, 27(3) (3), 527 - 539[Refereed]Scientific journal
- 2005, Economics Bulletin, 6(1) (1)An Empirical Analysis of FDI Competitiveness in Sub-Saharan Africa and Developing Countries[Refereed]Scientific journal
- 2005, Investment Management and Financial Innovations, 2(3) (3), 39 - 48A coincident financial indicator for the Australian stock market[Refereed]Scientific journal
- Lead, 2005, Empirical Economics Letters, 4, 335 - 344, EnglishBusiness cycle transmission between Japan and South Korea[Refereed]Scientific journal
- 2004, Empirical Economics, 29(4) (4), 825 - 853[Refereed]Scientific journal
- 2004, Economics Letters, 82(2) (2), 157 - 165[Refereed]Scientific journal
- 2004, International Journal of Business and Economics, 3, 45 - 56, EnglishInternational flow between price change and trading volume in gold futures contracts[Refereed]Scientific journal
- 2003, Applied Economics, 35(13) (13), 1497 - 1504[Refereed]Scientific journal
- 2003, Japan and the World Economy, 15(2) (2), 223 - 231[Refereed]Scientific journal
- 2003, Far Eastern Journal of Theoretical Statistics, 11, 113 - 131, EnglishUnit root and cointegration tests under heteroskedasticity[Refereed]Scientific journal
- Lead, 2003, Asian and African Area Studies, 3, 174 - 185, EnglishTrade and growth relationship: Some evidence from Comoros, Madagascar, Mauritius, and Seychelles[Refereed]Scientific journal
- 2003, Finance Letters, 1, 35 - 40, EnglishNew evidence of linkages among G-7 stock markets[Refereed]Scientific journal
- Lead, 2002, Quarterly Journal of Business and Economics, 41, 95 - 114, EnglishStock returns and real activity: New evidence from the United States and Japan[Refereed]Scientific journal
- Lead, 2002, International Journal of Business and Economics, 1, 79 - 86, EnglishSome international evidence on the seasonality of stock prices[Refereed]Scientific journal
- Lead, 2002, European Economic and Political Issues, 4, 13 - 24, EnglishReal wage behavior in the United States, Britain, and Japan: An ARCH approach[Refereed]Scientific journal
- Lead, 2002, Current Politics and Economics of Europe, 4, 1 - 11, EnglishSeasonality and Purchasing Power Parity[Refereed]Scientific journal
- 2001, Applied Economics Letters, 8(5) (5), 305 - 310[Refereed]Scientific journal
- 2001, Japan and the World Economy, 13(4) (4), 463 - 481[Refereed]Scientific journal
- 2001, Journal of Futures Markets, 21(9) (9), 861 - 874[Refereed]Scientific journal
- 2001, Japan and the World Economy, 13(2) (2), 135 - 144[Refereed]Scientific journal
- 2001, Econometric Reviews, 20(2) (2), 187 - 200[Refereed]Scientific journal
- Sep. 2000, APPLIED ECONOMICS LETTERS, 7(9) (9), 613 - 618, EnglishInternational transmission of stock prices among G7 countries: LA-VAR approach[Refereed]Scientific journal
- 2000, Japan and the World Economy, 12(2) (2), 143 - 152[Refereed]Scientific journal
- 2000, Japan and the World Economy, 12(1) (1), 11 - 19[Refereed]Scientific journal
- 2000, Applied Economics Letters, 7(9) (9), 591 - 594[Refereed]Scientific journal
- 2000, Applied Economics, 32(4) (4), 405 - 410[Refereed]Scientific journal
- 2000, Japan and the World Economy, 12(3) (3), 229 - 242A theory of quality signaling in the marriage market[Refereed]Scientific journal
- 1999, Applied Economics Letters, 6(9) (9), 551 - 555[Refereed]Scientific journal
- 1999, Applied Economics Letters, 6(5) (5), 329 - 332[Refereed]Scientific journal
- 1999, Applied Economics Letters, 6(6) (6), 397 - 402[Refereed]Scientific journal
- 1999, Current Politics and Economics of Asia, 6, 185 - 194, EnglishTransmission mechanism of asset prices in Japan[Refereed]Scientific journal
- 1998, Applied Financial Economics, 8(1) (1), 51 - 59[Refereed]Scientific journal
- 1998, Applied Economics Letters, 5(1) (1), 31 - 35[Refereed]Scientific journal
- 1998, Economic Modelling, 15(2) (2), 217 - 235Defying the conventional wisdom: US consumers are found to be more risk averse than those of Japan[Refereed]Scientific journal
- 1997, Applied Economics, 29(9) (9), 1105 - 1113[Refereed]Scientific journal
- 1997, Applied Economics Letters, 4(8) (8), 477 - 479[Refereed]Scientific journal
- 1997, Japan and the World Economy, 9(3) (3), 413 - 430Risk premiums and conditional covariances in tests of asset pricing models: Some evidence from Japan[Refereed]Scientific journal
- 1997, Economics Letters, 57(3) (3), 245 - 253Testing for a unit root in the presence of a variance shift[Refereed]Scientific journal
- 1996, Applied Economics Letters, 3(8) (8), 529 - 532[Refereed]Scientific journal
- 1996, Econometric Reviews, 15(1) (1), 97 - 114[Refereed]Scientific journal
- 1995, Current Politics and Economics of Japan, 4, 129 - 138, EnglishOn the time variation of risk premium in the Japanese stock market[Refereed]Scientific journal
- 1995, ジャフィージャーナル1995, 125 - 146, Japanese消費資産価格モデルと日本の株式市場[Refereed]Scientific journal
- Corresponding, 1995, Financial Engineering and the Japanese Market, 2, 123 - 137, EnglishOn the Test of the Globalization of the Japanese Equity Market under the Kreps-Porteus Preference[Refereed]Scientific journal
- Corresponding, 1994, Japanese Journal of Financial Economics, 1, 89 - 99, EnglishThe Non-Expected Utility Model and Asset Prices: Some Evidence from Japan[Refereed]Scientific journal
- 1993, Economics Letters, 42(1) (1), 71 - 76[Refereed]Scientific journal
- 1992, Economics Letters, 38(1) (1), 67 - 72[Refereed]Scientific journal
- 1992, Economics Letters, 40(4) (4), 459 - 464[Refereed]Scientific journal
- Corresponding, 日本統計学会, 1992, Journal of the Japan Statistical Society, 22(2) (2), 161 - 172, EnglishSmall Sample Properties of Generalized Method of Moments Estimator with MA (1) Error,[Refereed]Scientific journal
- Corresponding, 1989, SCANDINAVIAN JOURNAL OF ECONOMICS, 91(3) (3), 535 - 546, EnglishINFORMATION COSTS, LEARNING-PROCESS AND THE EFFECTIVENESS OF MONETARY-POLICY[Refereed]Scientific journal
- 1985, 季刊理論経済学, 36, 74 - 80, Japanese不確実性下におけるマネタリーターゲットの選択[Refereed]Scientific journal
- The rational expectations hypothesis plays a very important role in today's macroeconomic analysis. But in most of the arguments based on this idea, it is assumed that individuals know the economic structure correctly (including the value of each parameter). I think, however, that this assumption of information exploitation is too extreme and the learning mechanism for the economic structure must be analyzed explicitly. In this paper, the following two points are examined; 1) the information search activities of agents and their effects on the slope of the Lucas supply function, 2) the convergency of people's expectations to rational expectations and its effects on their supply activities.Japan Statistical Society, 1985, Journal of the Japan Statistical Society, Japanese Issue, 15(1) (1), 93 - 105, Japanese
- World Scientific Publishing Co. Pte. Ltd., 01 Feb. 2016, Financial Linkages, Remittances, and Resource Dependence in East Asia, 1 - 219, EnglishOthers
- Taylor and Francis, 01 Jan. 2013, Financial Globalization and Regionalism in East Asia, 1 - 208, EnglishOthers
- World Scientific Publishing Co., 01 Jan. 2012, Global Linkages and Economic Rebalancing in East Asia, 1 - 213, EnglishOthers
- Nova Science Publishers, Inc., 01 Jan. 2009, Economics of Developing Countries, 3 - 18, EnglishStructural var approach to the sources of exchange rate fluctuations in sub-saharan African countriesOthers
- World Scientific Publishing Co., 01 Jan. 2009, Introduction of the Euro and the Monetary Policy of the European Central Bank, 1 - 199, EnglishOthers
- Joint work, Springer, Nov. 2022, ISBN: 9811956022Energy Trading and Risk Management: Commentary on Arbitrage, Risk Measurement, and Hedging Strategy
- Contributor, 第15章「意思決定論」, オーム社, Nov. 2021, Japanese, ISBN: 4274227979データサイエンスの考え方: 社会に役立つAI×データ活用のために
- Joint work, Springer, Aug. 2021, ISBN: 9811629927ESG Investment in the Global Economy
- Contributor, Environmental Policy and Sustainable Growth in Japan, Springer, Jun. 2021, English, ISBN: 9811592861Sustainability and environmental decision making
- 培風館, Apr. 2021, Japanese, ISBN: 4563016101データサイエンス基礎 (データサイエンス講座 1)
- Joint work, Routledge, Dec. 2020, ISBN: 0367504219Credit Default Swap Markets in the Global Economy
- Joint editor, Mdpi AG, Oct. 2020, ISBN: 3039431366Empirical Analysis of Natural Gas Markets
- Joint editor, Mdpi AG, Jul. 2020, ISBN: 3039362240AI and Financial Markets
- Joint work, World Scientific, Apr. 2019, English, ISBN: 9813278927Financial inclusion, remittance inflows, and poverty reduction in developing countries : evidence from empirical analyses
- Editor, Mdpi AG, Mar. 2019, ISBN: 3038977063Empirical Finance
- Single work, 中央経済社, Feb. 2018, Japanese, ISBN: 4502255718ベーシック計量経済学(第2版)
- Joint editor, World Scientific, Apr. 2016, English, ISBN: 9814723568Moving up the ladder : development challenges for low and middle-income Asia
- Joint work, Routledge, Feb. 2015, English, ISBN: 9781138799073The European sovereign debt crisis and its impacts on financial markets
- Joint work, World Scientific, Nov. 2014, English, ISBN: 9814571903Indian economy : empirical analysis on monetary and financial issues in India
- Joint work, Springer, Dec. 2013, English, ISBN: 3642411088Rural Labor Migration, Discrimination, and the New Dual Labor Market in China
- Joint editor, Routledge, Nov. 2013, English, ISBN: 0415659841Financial globalization and regionalism in East Asia
- Joint editor, World Scientific, May 2012, English, ISBN: 9814412848Global linkages and economic rebalancing in East AsiaScholarly book
- Contributor, Chapter 9, Routledge, Jun. 2011, English, ISBN: 0415553970Routledge handbook of South Asian economics
- Joint work, Springer, Nov. 2010, ISBN: 3642088457International Competitiveness in Africa: Policy Implications in the Sub-Saharan Region
- Joint work, World Scientific, Nov. 2009, English, ISBN: 9812838422Introduction of the Euro and the monetary policy of the European Central Bank
- Single work, 中央経済社, Feb. 2009, Japanese, ISBN: 4502665703ベーシック計量経済学
- Contributor, Nominal and Real Exchange Rate Fluctuations of Yen-Dollar Rates, Nova Science Publishers, 2009, English, ISBN: 9781606920930Emerging topics in macroeconomics
- Contributor, Structural VAR Approach to the Sources of Exchange Rate Fluctuations in Sub-Saharan African Countries, NOVA Science Pub Inc., Oct. 2008, ISBN: 1604569247Economics of Developing Countries
- Contributor, 6.2 回帰モデルの推定(2), 朝倉書店, Oct. 2007, Japanese, ISBN: 9784254290073計量経済学ハンドブック
- Joint work, Springer, Oct. 2005, ISBN: 3642064175Empirical Techniques in Finance
- Joint work, Springer, Jul. 2004, English, ISBN: 1402078994Hidden Markov models : applications to financial economics
- Single work, Springer, Sep. 2003, English, ISBN: 1402075170An Empirical Investigation of Stock Markets: The CCF Approach
- Single work, 中央経済社, Apr. 2000, Japanese, ISBN: 4502640239計量経済学
- Contributor, 第8章, 東京大学出版会, Sep. 1997, Japanese, ISBN: 4130401556現代マクロ経済分析―転換期の日本経済
- Contributor, 第1章、第15章, 日本評論社, Sep. 1996, Japanese, ISBN: 4535550697日本の資本市場 (郵政研究所研究叢書)
- Contributor, 第6章, 清文社, Apr. 1988, Japanese, ISBN: 4792016681挑戦するみなと神戸
- AI×DeFi: The New Operating System of Global Finance, Dec. 2025, EnglishWhen Climate Risks Meet Equity Markets Evidence from Return and Volatility Spillovers[Invited]Invited oral presentation
- FinTech Webinar | Financial Technology and Strategic AI Integration in FinTech: Transforming Banking, Payments, and Building a Sustainable Economy- Challenges and Opportunities, Dec. 2024, EnglishThe Higher The Better? Hedging and Investment Strategies in Cryptocurrency Markets: Insight from Higher Moment Spillover[Invited]Invited oral presentation
- FINANCIAL AND MONETARY ECONOMICS – FME 2024 – (Bucharest、Români、), Nov. 2024, EnglishAsymmetric higher-moment spillovers between sustainable and traditional investments[Invited]Oral presentation
- International Conference on Time Series Econometrics, Mar. 2024, EnglishTime-varying frequency connectedness analysis across crude oil, geopolitical risk, economic policy uncertainty, and stock markets[Invited]Invited oral presentation
- Financial and Monetary Economics FME 2023 (Bucharest, România), Oct. 2023, EnglishThe Impact of Economic and Financial Uncertainty Caused by COVID-19 on Renewable Energy Stock Markets[Invited]Oral presentation
- 2022 International Conference on Digitalization and Future Commerce, Jul. 2022, EnglishNFT: Present and Future[Invited]Keynote oral presentation
- デジタルユニバーシティ産学連携セミナー, Mar. 2022, Japaneseデータサイエンスの実践 ~データを正しく捉えられるビジネスパーソンに~[Invited]Public discourse
- The 3rd International Conference on General Education and Contemporary Development, Sep. 2021, EnglishGeneral Education in Japan: Taking Data Science Education as an Example[Invited]Keynote oral presentation
- データサイエンス実務者講座, Aug. 2021, Japaneseデータサイエンスの動向[Invited]Public discourse
- デジタルユニバーシティ産学連携セミナー, Feb. 2021, Japaneseデータサイエンスの基礎[Invited]Public discourse
- 第24回 人工知能学会 金融情報学研究会(SIG-FIN), Mar. 2020多相アテンションLSTMを用いた財務時系列データの予測Oral presentation
- DXミドルマネジメント講座, Jan. 2020, Japaneseデジタルトランスフォーメーションがもたらす社会変⾰︓経済データ分析と因果推論Public discourse
- SIBR 2020 Sydney Conference on Interdisciplinary Business & Economics Research, Jan. 2020, EnglishForecasting WTI Futures Prices Using Recurrent Neural NetworksOral presentation
- Singapore Economic Review Conference 2019, Aug. 2019, English, International conferenceFinancial Hazard Map[Invited]Invited oral presentation
- SIBR 2019 OSAKA CONFERENCE ON INTERDISCIPLINARY BUSINESS & ECONOMICS RESEARCH, Jul. 2019, English, International conferenceApplication of Network Analysis to Cryptocurrency in the Global Financial Market
- データサイエンスが創る未来, Dec. 2018, Japanese, 神戸大学 出光佐三記念六甲台講堂, Domestic conference社会科学におけるデータサイエンスの役割Public discourse
- SIBR 2018 HONG KONG CONFERENCE ON INTERDISCIPLINARY BUSINESS & ECONOMICS RESEARCH, Sep. 2018, English, Hong Kong, International conferenceModeling the Dependence Structure of Share Prices Among Three Chinese City BanksOral presentation
- SIBR 2018 HONG KONG CONFERENCE ON INTERDISCIPLINARY BUSINESS & ECONOMICS RESEARCH, Sep. 2018, English, Hong Kong, International conferenceArtificial Intelligence and Its Application to Economic Analysis: A Case of Data Concerning Economic GrowthOral presentation
- Workshop at Institute of Statistics and Big Data, Renmin University of China, Aug. 2018, English, Renmin Univesity of China, International conferenceCalibration Estimation of Semiparametric Copula Models with Data Missing at RandomOral presentation
- The 3rd International Conference on Economics and and Management Innovations 2018 (ICEMI2018), Jun. 2018, English, Taiwan, International conferenceFinancial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification ModelKeynote oral presentation
- The Second International Forum on East Asia Macroeconomic Studies, May 2018, English, Xiamen University, China, International conferenceArtificial Intelligence and Its Application to Economic Analysis: The Case of Econmic Growth DataOral presentation
- 第20回 人工知能学会 金融情報学研究会(SIG-FIN), Mar. 2018, Japanese, 東京証券取引所 2F 東証ホール, Domestic conferenceLSTMネットワークによる企業財務データの回帰分析Oral presentation
- WEAI 14th. International Conference, Jan. 2018, English, Newcastle, Australia, International conferenceFORECASTING THE VULNERABILITY OF INDUSTRIAL ECONOMIC ACTIVITIES: PREDICTING THE BANKRUPTCY OF COMPANIESOral presentation
- CMR Seminar, Xiamen University, Nov. 2017, English, Xiamen University, China, International conferenceInterdependence between Oil and East Asian Stock markets: Evidence from Wavelet Coherence AnalysisOral presentation
- The 3rd International Conference on Applied Econometrics, Sep. 2017, English, Hawaii, USA, International conferenceInterdependence between Oil and East Asian Stock Markets:Evidence from Wavelet Coherence AnalysisOral presentation
- Singapore Economic Review Conference 2017, Aug. 2017, English, Singapore, International conferenceModeling Interdependence between East Asian Stock Markets and the Prices of Oil and Gold: A Wavelet based ApproachOral presentation
- Singapor Economic Review Conference 2017, Aug. 2017, English, Singapore, International conferenceInterdependence between Oil and East Asian Stock markets: Evidence from Wavelet Coherence AnalysisOral presentation
- 神戸大学先端融合研究環新規プロジェクトキックオフシンポジウム, May 2017, Japanese, 神戸大学百年記念館, Domestic conference市場経済の持続的成長可能性に関する研究Public discourse
- 神戸大学 経済学研究科・システム情報学研究科 研究交流会, Apr. 2017, Japanese, 神戸大学 システム情報学研究科, Domestic conference資産価格変動に関する計量分析Oral presentation
- Workshop at the Institute of Statistics and Big Data, Renmin University of China, Apr. 2017, English, Renmin University of China, China, International conferenceInterdependence between oil and East Asian stock markets: evidence from wavelet coherence analysisOral presentation
- 第18回 人工知能学会 金融情報学研究会(SIG-FIN), Mar. 2017, Japanese深層生成モデルによる時系列ネットワークの低次元埋め込みOral presentation
- 「システム情報科学の社会実装の可能性」, Jan. 2017, Japanese, 財務総合政策研究所, Domestic conference資産価格の相互依存関係に関する計量分析Oral presentation
- International Research Institute for Economics and Management
- Institute of Data Science and Artificial Intelligence
- International Engineering and Technology Institute
- Western Economic Association
- Japan Statisical Society
- 日本学術振興会, 科学研究費助成事業, 基盤研究(C), 大和大学, Apr. 2025 - Mar. 2028, Principal investigator対外リスクに対する早期警戒システムの構築と経済活動への波及メカニズムの解明
- 日本学術振興会, 科学研究費助成事業, 基盤研究(C), 神戸大学, Apr. 2022 - Mar. 2025金融システムのリスク管理と経済社会の持続可能性
- 日本学術振興会, 科学研究費助成事業, 挑戦的研究(萌芽), 神戸大学, Jul. 2021 - Mar. 2024新型コロナウイルス流行の寿命予測と貯蓄行動に対する影響今年度は、新型コロナウイルスの流行に伴って、寿命や死亡率に関する意識がどう変化したのか、また、その変化が貯蓄行動にどう影響したかを明らかにするという目的を達成すべく、下記の件を検討した。まず、寿命の予測が変化した場合の人々の貯蓄行動への影響を理論的に検討した。個々人が予想する生存率を軸に、どのような貯蓄行動をするのか、寿命の不確実性を考慮した世代重複モデルを基礎に、心理学の要因を取り入れて検討する。基本的に、経済学のライフサイクル仮説(老後に備えるために、現役時代に貯蓄するという仮説)に基づいて考えたが、貯蓄の決定要因として、寿命予測、時間選好、子供の数、現在の所得と将来の期待所得、また、心理学的には、人は残された時間に限りがあると認識すると感情的満足を重視するようになるという理論(社会情動的選択性理論)を考慮した。その理論を軸に、オンラインのアンケートを準備した。アンケートは、日本の、自分または配偶者が働いている20-70代の男女に行う予定である。その中で、主観的な死亡率に関する情報を数種類尋ねることにしている。本研究は、主観的死亡率をアンケートで尋ねているところに特徴があり、他のアンケート調査では得られない情報である。また、副次的な研究として、予備調査に基づく計量分析を行い、国際会議、国内の学会で報告したが、学術誌に投稿の準備を進めている。さらに、新型コロナウイルス流行後の地域経済について、論文を投稿中である。また、新型コロナウイルスに関して、計量研究を行い、論文を公刊した。
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Grant-in-Aid for Scientific Research (A), Kobe University, Apr. 2017 - Mar. 2021, Principal investigatorAs a result of the research project, 66 papers were published, of which 65 (98.5%) were published in international peer-reviewed journals and 54 (81.8%) were international collaborative papers. The research results were also published in six books by overseas academic publishers such as Springer and World Scientific. In addition, four special issues related to this research project were edited and published by international academic journals. Through these activities, we have succeeded in building a broad network with overseas researchers. In addition, the project actively promoted joint research with young researchers, including graduate students, and contributed to the development of young researchers.Competitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Challenging Research (Exploratory), Challenging Research (Exploratory), Kobe University, 30 Jun. 2017 - 31 Mar. 2019, Principal investigatorDespite this research project being exploratory and lasting only 18 months, its outcomes were substantial; it resulted in the publication of 42 academic papers (of which, 31 were peer-reviewed, and 21 had international co-authorship), 12 reports for international conferences, and four research books written in English. Strenuous efforts were also made to further international collaboration in research, with international conferences held jointly with a number of Pacific Rim universities. In addition, principal investigator Professor Shigeyuki Hamori was guest editor of a special issue of the Journal of Risk and Financial Management, entitled “Empirical Finance”.Competitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Aichi University, 01 Apr. 2016 - 31 Mar. 2019Empirical Study on Happiness Index and Urban Area and Urban HierarchyIn this study, the following four analyzes were conducted for the empirical study on happiness index and the hierarchy of urban areas and cities. (1) We grasped the actual situation of efforts of local governments trying to use happiness index for policy, and considered the way of happiness index in the local area. (2) On the other hand, we conducted a survey of previous studies, focusing on empirical studies of the Japanese happiness index. (3) We designed the original questionnaire survey based on the findings obtained in the previous studies, and conducted an internet questionnaire survey on happiness among persons aged 18 and over in Japan. (4) Using these individual data, we analyzed the subjective well-being and its determinants from various viewpoints.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 01 Apr. 2013 - 31 Mar. 2017, Principal investigatorWe have applied the latest estimation/testing procedure in this research area to the data on various asset returns such as stocks, bonds, and currency exchange and conducted an econometric analysis of the interdependence between asset markets. In addition, we have published the results of the analysis in peer-reviewed international academic journals. As a result, we were able to obtain major research opportunities such as publishing a total of 14 research papers in peer-reviewed international academic journals. Although research in this field has been actively conducted in Europe and the United States, in Japan, the amount of research in this field has been relatively less. However, we believe that this research project can fill this gap to a certain extent.Competitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 2008 - 2012, Principal investigatorThis research topic is one of the most advancing research areasin recent econometric analysis and is useful when the sample size obtained from time series data is small. This project focuses on the following two points. (1) We apply various types of nonstationary panel time series techniques to actual data, and examine the economic implications of empirical results. (2) We analyze the small sample properties of CIPS test developed by Pesaran (2007).Competitive research funding
- 2006新しい日本型経済パラダイムの研究教育拠点Competitive research funding
- 2005新しい日本型経済パラダイムの研究教育拠点Competitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 2000 - 2002Empirical analysis of the futures market during Edo periodDuring the Edo period (1603-1867), Japan's market economy was as advanced as in the West at that time. The monetary economy expanded remarkably within the framework of the rice standard system, and the Dojima rice market at Osaka established during this period was said to have been the world's first, well organized futures market. Osaka had been long known as the "Kitchen of the Country" for its robust mercantile activities, ant it was also bustling with the rapidly growing business of money changing in the areas of finance and exchange. Credit institutions became firmly established, and the merchants of the day exhibited a great flair at their vocation by creating what could be called a prototype market economy. In a sense, the model for today's Japanese economy can be said to have originated in the Edo period. Futures transactions were contrived at the beginning of the Kyoho era (1716-1736) with the purpose of hedging price fluctuation risks. In the year 1730, the 8^
Shogun Tokugawa Yoshimune authorized futures transactions for rice, marketing the birth of the world's first futures exchange, the Dojima rice exchange, in Dojima, Osaka. This development was a spontaneous response to needs dictated by the economic environment at that time. Brokers at the exchange carried out both rice spot trading and rice futures trading. On payment of a margin in a specified quantity of silver, they were able to trade amounts 100 times their margin on the day of trading. The opportunities to speculate and hedge in the futures trading market attracted the merchants, whose favor fueled a remarkable expansion in the exchange. Eventually, the Dojima rice exchange of the Edo period became the world's fastest-developing commodity exchange with a futures trading system, clearly attesting to the resourcefulness of the Osaka merchants of the day. This projects empirically analyzed the futures market at the Dojima rice exchange and found some similarities between the Dojima rice exchange and the current securities futures market. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), HITOTSUBASHI UNIVERSITY, 1997 - 1998ASSET MARKETS AND INTERDEPENDENCES AMONG MACROECONOMIC ACTIVITIES IN JAPANObjectives of this research project are to extend the consumption based capital asset price model (C-CAPM) by introducing a behavior of financial institutions that include institutional investor into the C-CAPM and to use the extended C-CAPM to analyze empirically real asset markets as well as financial asset markets. Hamori extended the C-CAPM by introducing an investment behavior of financial institutions. Ogawa considered a theoretical model in which institutional investors maximize expected utilities of dividends paid by the institutional investors. We empirically studied validity of the extended C-CAPM.At the same time, we estimated risk aversion and time preferences of economic agents in macroeconomic activities during a period before the bubble, the bubble period, and a post-bubble period. Hamori analyzed time lag correlation coefficients between real GDP and stock prices. He found that. an increase in GDP had a tendency to follow an increase in stock prices by several periods in Japan, the United States. and the United Kingdom. Hamori and Asako empirically analyzed the validity of the Ricardian equivalence theorem by estimating the marginal rate of substitution between private consumption and government consumption. It is found higher in Japan than in studies using U.S.data. The data negate the Ricardian equivalence theorem. Ogawa had an empirical result that Japanese life insurance companies tended to watch exchange rate and income return of bond in their global portfolio investments (U.S.bonds, Canadian bonds. and U.K.bonds).Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Encouragement of Young Scientists (A), Grant-in-Aid for Encouragement of Young Scientists (A), Kobe University, 1994 - 1994一般化積率法の小標本特性に関する研究本研究の目的は,一般化積率法(Generalized Method of Moments,以下GMM)に関する統計的性質を分析することにあった。GMMはHansen L.P.によって開発され,最近の実証的研究において頻繁に用いられる統計的手法の一つであるが、残念ながらその統計的性質に関しては,十分な理解が得られていないのが現状である。そこで,本研究では特に(1)乱数が正規分布からはずれた場合,および,(2)外生変数が単位根を持つ場合の小標本特性について考えてみた。 本研究は次の4段階から構成された。第1段階:研究課題に関する従来の研究のサーベイ。第2段階:第1段階を踏まえ,モデルとその推定・検定方法を分析した。第3段階:必要な推定・検定法に関するプログラムを作成した。第4段階:第3段階で作成したプログラムに基づきモンテカルロ実験を行い,GMMによる推定法および検定法の小標本における特性について分析を行った。 得られた主要な結果は次のようにまとめられる。 (1)乱数が正規分布からはずれている程度が大きいほど,GMMによる推定値は,バイアスが大きくなり,かつMSEも大きくなる。したがって,小標本においてはGMM推定量の特性は分布の仮定に依存している。 (2)外生変数のlaw of motionがよりpersistentなものとなるほど,GMMによる推定値はバイアスもMSEも小さくなることがわかった。特に,単位根を持つ場合には最も良い性質が得られた。これは,従来の見解とは全く異なるものであり,特筆に値する点といえよう。Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Encouragement of Young Scientists (A), Grant-in-Aid for Encouragement of Young Scientists (A), Kwansei Gakuin University, 1992 - 1992貨幣経済下における動学的資本資産価格モデルの理論的及び実証的研究(日本のケース)
