Directory of Researchers

KOBAYASHI Teruyoshi
Graduate School of Economics / Division of Economics
Professor
Business / Economics
Last Updated :2021/10/24

Researcher Profile and Settings

Affiliation

  • <Faculty / Graduate School / Others>

    Graduate School of Economics / Division of Economics
  • <Related Faculty / Graduate School / Others>

    Faculty of Economics / Department of Economics, Center for Computational Social Science (CCSS)

Teaching

Research at Kobe

  • 15 Jan. 2019, Identifying “friends” in an objective manner: A new method for extracting the backbone of networked social interactions
  • 14 Jul. 2015, A new mechanism to explain how a financial crisis happens

Research Activities

Research Interests

  • テンポラル・ネットワーク
  • 金融政策
  • 金融システム
  • 複雑ネットワーク

Research Areas

  • Natural sciences / Mathematical physics and basic theory
  • Humanities & social sciences / Theoretical economics

Awards

  • Mar. 2020 村尾育英会, 学術賞, 「社会・経済ネットワークの動的解析」

    小林 照義

  • 2004 大阪大学社会経済研究所, 森口賞入賞

    小林 照義

  • 2003 神戸大学経済経営研究所, 兼松フェローシップ

    小林 照義

  • Sep. 2021 KDDI財団, KDDI Foundation Award 貢献賞

    小林照義

Published Papers

  • 金融システムに潜むネットワーク上の連鎖破綻リスク

    小林照義

    May 2021, システム制御情報学会「システム/制御/情報」, 65 (5), 163 - 168, Japanese

    [Refereed][Invited]

    International conference proceedings

  • Kohei Hasui, Teruyoshi Kobayashi, Tomohiro Sugo

    Corresponding, Elsevier BV, May 2021, European Economic Review, 134, 103707, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi, Mathieu Génois

    Densification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

    Springer Science and Business Media LLC, Feb. 2021, Scientific Reports, 11 (3160), International magazine

    [Refereed]

    Scientific journal

  • Two types of densification scaling in the evolution of temporal networks

    Teruyoshi Kobayashi, Mathieu Génois

    Nov. 2020, Physical Review E, 102 (052302), English

    [Refereed]

    Scientific journal

  • Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach

    Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki, Emilio Ferrara

    Corresponding, 2020, Journal of Computational Social Science, in press, English, Co-authored internationally

    [Refereed]

    Scientific journal

  • KOBAYASHI TERUYOSHI, Taro Takaguchi, Alain Barrat

    Lead, Jan. 2019, Nature Communications, 10 (220), English, Co-authored internationally

    [Refereed]

    Scientific journal

  • Identifying relationship lending in the interbank market: A network approach

    KOBAYASHI TERUYOSHI, Taro Takaguchi

    Dec. 2018, Journal of Banking & Finance, English

    [Refereed]

    Scientific journal

  • 非負値テンソル分解による動的な社会・経済行動パターンの抽出

    KOBAYASHI TERUYOSHI

    Oct. 2018, 国民経済雑誌, 218, Japanese

    Research institution

  • KOBAYASHI TERUYOSHI, Anna Sapienza, Emilio Ferrara

    Jul. 2018, Scientific Reports, English

    [Refereed]

    Scientific journal

  • Social dynamics of financial networks

    KOBAYASHI TERUYOSHI, Taro Takaguchi

    Jun. 2018, EPJ Data Science, 7 (15), English

    [Refereed]

    Scientific journal

  • Network models of financial systemic risk: A review

    Fabio Caccioli, Paolo Barucca, KOBAYASHI TERUYOSHI

    Jan. 2018, Journal of Computational Social Science, 1, 81 - 114, English

    [Refereed]

    Scientific journal

  • ネットワークにおける複数頂点組の力学的重要性に関する数値的検証

    入江凛, KOBAYASHI TERUYOSHI, 谷口隆晴

    Nov. 2016, 国民経済雑誌, Japanese

    Scientific journal

  • ネットワークにおける複数頂点組の力学的重要性に関する数値的検証

    IRIE RIN, KOBAYASHI TERUYOSHI, YAGUCHI TAKAHARU

    Nov. 2016, 國民經濟雜誌, 214 (5), 39 - 50, Japanese

    Scientific journal

  • Teruyoshi Kobayashi, Naoki Masuda

    A practical approach to protecting networks against epidemic processes such as spreading of infectious diseases, malware, and harmful viral information is to remove some influential nodes beforehand to fragment the network into small components. Because determining the optimal order to remove nodes is a computationally hard problem, various approximate algorithms have been proposed to efficiently fragment networks by sequential node removal. Morone and Makse proposed an algorithm employing the non-backtracking matrix of given networks, which outperforms various existing algorithms. In fact, many empirical networks have community structure, compromising the assumption of local tree-like structure on which the original algorithm is based. We develop an immunization algorithm by synergistically combining the Morone-Makse algorithm and coarse graining of the network in which we regard a community as a supernode. In this way, we aim to identify nodes that connect different communities at a reasonable computational cost. The proposed algorithm works more efficiently than the Morone-Makse and other algorithms on networks with community structure.

    NATURE PUBLISHING GROUP, Nov. 2016, SCIENTIFIC REPORTS, 6, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi

    Threshold models of global cascades have been extensively used to model real-world collective behavior, such as the contagious spread of fads and the adoption of new technologies. A common property of those cascade models is that a vanishingly small seed fraction can spread to a finite fraction of an infinitely large network through local infections. In social and economic networks, however, individuals' behavior is often influenced not only by what their direct neighbors are doing, but also by what the majority of people are doing as a trend. A trend affects individuals' behavior while individuals' behavior creates a trend. To analyze such a complex interplay between local- and global-scale phenomena, I generalize the standard threshold model by introducing a type of node called global nodes (or trend followers), whose activation probability depends on a global-scale trend, specifically the percentage of activated nodes in the population. The model shows that global nodes play a role as accelerating cascades once a trend emerges while reducing the probability of a trend emerging. Global nodes thus either facilitate or inhibit cascades, suggesting that a moderate share of trend followers may maximize the average size of cascades.

    AMER PHYSICAL SOC, Dec. 2015, PHYSICAL REVIEW E, 92 (6), English

    [Refereed]

    Scientific journal

  • Charles D. Brummitt, Teruyoshi Kobayashi

    The seniority of debt, which determines the order in which a bankrupt institution repays its debts, is an important and sometimes contentious feature of financial crises, yet its impact on system wide stability is not well understood. We capture seniority of debt in a multiplex network, a graph of nodes connected by multiple types of edges. Here an edge between banks denotes a debt contract of a certain level of seniority. Next we study cascading default. There exist multiple kinds of bankruptcy, indexed by the highest level of seniority at which a bank cannot repay all its debts. Self-interested banks would prefer that all their loans be made at the most senior level. However, mixing debts of different seniority levels makes the system more stable in that it shrinks the set of network densities for which bankruptcies spread widely. We compute the optimal ratio of senior to junior debts, which we call the optimal seniority ratio, for two uncorrelated Erdos-Renyi networks. If institutions erode their buffer against insolvency, then this optimal seniority ratio rises; in other words, if default thresholds fall, then more loans should be senior. We generalize the analytical results to arbitrarily many levels of seniority and to heavy-tailed degree distributions.

    AMER PHYSICAL SOC, Jun. 2015, PHYSICAL REVIEW E, 91 (6), English

    [Refereed]

    Scientific journal

  • 金融ネットワークとネットワーク理論 -現状と課題ー

    KOBAYASHI TERUYOSHI

    Dec. 2014, 国民経済雑誌, Japanese

    [Invited]

    Research institution

  • Teruyoshi Kobayashi

    I show the equivalence between a model of financial contagion and the threshold model of global cascades proposed by Watts (2002). The model financial network comprises banks that hold risky external assets as well as interbank assets. It is shown that a simple threshold model can replicate the size and the frequency of financial contagion without using information about individual balance sheets. (C) 2014 The Author. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

    ELSEVIER SCIENCE SA, Jul. 2014, ECONOMICS LETTERS, 124 (1), 113 - 116, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi, Kohei Hasui

    Many immunization strategies have been proposed to prevent infectious viruses from spreading through a network. In this work, we study efficient immunization strategies to prevent a default contagion that might occur in a financial network. An essential difference from the previous studies on immunization strategy is that we take into account the possibility of serious side effects. Uniform immunization refers to a situation in which banks are "vaccinated'' with a common low-risk asset. The riskiness of immunized banks will decrease significantly, but the level of systemic risk may increase due to the de-diversification effect. To overcome this side effect, we propose another immunization strategy, called counteractive immunization, which prevents pairs of banks from failing simultaneously. We find that counteractive immunization can efficiently reduce systemic risk without altering the riskiness of individual banks.

    NATURE PUBLISHING GROUP, Jan. 2014, SCIENTIFIC REPORTS, 4, 3834, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi

    The question of how to stabilize financial systems has attracted considerable attention since the global financial crisis of 2007-2009. Recently, Beale et al. [Proc. Natl. Acad. Sci. USA 108, 12647 (2011)] demonstrated that higher portfolio diversity among banks would reduce systemic risk by decreasing the risk of simultaneous defaults at the expense of a higher likelihood of individual defaults. In practice, however, a bank default has an externality in that it undermines other banks' balance sheets. This paper explores how each of these different sources of risk, simultaneity risk and externality, contributes to systemic risk. The results show that the allocation of external assets that minimizes systemic risk varies with the topology of the financial network as long as asset returns have negative correlations. In the model, a well-known centrality measure, PageRank, reflects an appropriately defined "infectiveness" of a bank. An important result is that the most infective bank needs not always to be the safest bank. Under certain circumstances, the most infective node should act as a firewall to prevent large-scale collective defaults. The introduction of a counteractive portfolio structure will significantly reduce systemic risk.© EDP Sciences Società Italiana di Fisica Springer-Verlag 2013.

    Springer, Oct. 2013, European Physical Journal B, 86 (10), English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi, Ichiro Muto

    This study examines the expectational stability of rational expectations equilibria (REE) under alternative Taylor rules when trend inflation is nonzero. We find that when trend inflation is high, the REE is likely to be expectationally unstable. This result holds true regardless of the nature of the data (such as contemporaneous, forecast, or lagged data) introduced in the Taylor rule. Our results suggest that high macroeconomic volatility during the period of high trend inflation can be explained well by introducing the concept of expectational stability. Copyright © Cambridge University Press 2011.

    Cambridge University Press, Apr. 2013, Macroeconomic Dynamics, 17 (3), 681 - 693, English

    [Refereed]

    Scientific journal

  • 金融市場と金融政策の波及経路

    KOBAYASHI TERUYOSHI, HASUI KOHEI

    神戸大学経済経営学会, Feb. 2013, 国民経済雑誌, 207 (2), 65 - 78, Japanese

    [Invited]

    Research institution

  • Diversity among banks may increase systemic risk

    KOBAYASHI Teruyoshi

    Sep. 2012, Discussion paper no.1213, Graduate School of Economics, Kobe Univ., English

    Scientific journal

  • Teruyoshi Kobayashi

    This paper presents a dynamic general equilibrium model that incorporates firm entry under credit rationing. Goods-producing firms in this model are bank dependent in the sense that they have no choice but to borrow funds from banks to cover labor wages that must be paid in advance of production. The results show that a cut in the policy rate enhances firm entry by mitigating the severity of credit rationing. This policy transmission is different from the conventional balance sheet channel in that a change in the policy rate directly affects borrowers credit availability. I also show that a sudden stop in the credit supply to new firms is most likely to occur shortly after a credit boom. This is because endogenous downward wage rigidity prohibits the credit risk of prospective firms from decreasing enough to re-equilibrate the loan market. (C) 2011 Elsevier B.V. All rights reserved.

    ELSEVIER SCIENCE BV, Aug. 2011, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 35 (8), 1245 - 1272, English

    [Refereed]

    Scientific journal

  • Policy Irreversibility and Interest Rate Smoothing

    Teruyoshi Kobayashi

    Many empirical studies argue that the inertial behavior of policy rates in industrialized countries can be well explained by a linear partial adjustment version of the Taylor rule. However, the explanatory power of the lagged interest rate has been questioned from various points of view. This paper formally examines a situation in which a central bank has an aversion to frequent policy reversals. Imposing an irreversibility constraint on the control space makes the lagged interest rate a state variable. However, the policy function cannot then be expressed as a partial adjustment form, even if the original Taylor rule would be the correct policy function in the absence of the irreversibility constraint. The simulation results reveal that conventional regression tends to falsely support the functionally misspecified partial adjustment model. This implies that the significant role of the lagged interest may simply reflect the central banks' aversion to policy reversal.

    WALTER DE GRUYTER GMBH, 2010, B E JOURNAL OF MACROECONOMICS, 10 (1), English

    Scientific journal

  • Teruyoshi Kobayashi

    Many empirical studies argue that the inertial behavior of policy rates in industrialized countries can be well explained by a linear partial adjustment version of the Taylor rule. However, the explanatory power of the lagged interest rate has been questioned from various points of view. This paper formally examines a situation in which a central bank has an aversion to frequent policy reversals. Imposing an irreversibility constraint on the control space makes the lagged interest rate a state variable. However, the policy function cannot then be expressed as a partial adjustment form, even if the original Taylor rule would be the correct policy function in the absence of the irreversibility constraint. The simulation results reveal that conventional regression tends to falsely support the functionally misspecified partial adjustment model. This implies that the significant role of the lagged interest may simply reflect the central banks' aversion to policy reversal. Copyright © 2010 The Berkeley Electronic Press.

    Walter de Gruyter GmbH, 2010, B.E. Journal of Macroeconomics, 10 (1), English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi

    Until 1994, the US prime rate was said to be sticky because of its irresponsiveness to short-term interest rates. After the Fed started the practice of announcing its intended funds rate in 1994, however. the prime rate has come to react immediately to shifts in the target rate. This paper attempts to explain how the Fed's policy announcements changed the behavior of the prime rate by using a simple menu cost model. It shows that an increase in the expected duration of funds rate targets was essential to the improvement in the target rate pass-through. (c) 2009 Elsevier B.V. All rights reserved.

    ELSEVIER SCIENCE BV, Dec. 2009, JOURNAL OF BANKING & FINANCE, 33 (12), 2253 - 2266, English

    [Refereed]

    Scientific journal

  • Incomplete interest rate pass-through and optimal monetary policy

    KOBAYASHI TERUYOSHI

    Mar. 2008, International Journal of Central Banking, English

    [Refereed]

    Scientific journal

  • Optimal monetary policy and the role of hybrid inflation-price-level targets

    KOBAYASHI TERUYOSHI

    Jun. 2005, Applied Economics, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi

    This paper investigates the incentives of a central bank in a country whose currency is the anchor of a monetary union. It is shown that if actual monetary policies of the central bank cannot be perfectly observed, then, the central bank comes to have an incentive to give a larger weight to its own country's interests at the expense of partner countries. The analysis then derives a deterrence condition such that the anchor country's central bank has no incentive to renege. This model will explain the behavior of the Bundesbank in July 1992 and the succeeding secession of Italy and the UK from the Exchange Rate Mechanism (ERM). © 2004 Elsevier Inc. All rights reserved.

    2005, International Review of Economics and Finance, 14 (1), 1 - 15, English

    [Refereed]

    Scientific journal

  • Hybrid inflation-price-level targeting in an economy with output persistence

    KOBAYASHI TERUYOSHI

    May 2004, Scottish Journal of Political Economy, English

    [Refereed]

    Scientific journal

  • Monetary policy uncertainty and interest rate targeting

    KOBAYASHI TERUYOSHI

    Apr. 2004, Journal of Macroeconomics, English

    [Refereed]

    Scientific journal

  • Teruyoshi Kobayashi

    This paper addresses issues regarding the relationship between short- and long-term interest rates. In the real world, an expansionary (contractionary) policy is normally followed by a fall (rise) in long-term rates. However, there exist exceptional cases in which short- and long-term rates move in opposite directions. This paper attempts to provide a formal explanation for such unusual phenomena using a variety of new Keynesian models. It turns out that the simultaneous occurrence of different economic shocks, to which the central bank should react, can explain this behaviour of long rates. © Blackwell Publishing Ltd. 2004.

    Blackwell Publishing Ltd, 2004, International Finance, 7 (2), 261 - 286, English

    [Refereed]

    Scientific journal

  • Multiplicative uncertainty in a model without inflationary bias

    KOBAYASHI TERUYOSHI

    Mar. 2003, Economics Letters, English

    [Refereed]

    Scientific journal

MISC

  • Dynamics of diffusion on monoplex and multiplex networks: A message-passing approach

    Teruyoshi Kobayashi, Tomokatsu Onaga

    Lead, Mar. 2021, arXiv, 2103.09417, English

    Technical report

  • Editorial: Introduction to the special issue "Economics and Complex Networks"

    Teruyoshi Kobayashi, Naoki Masuda

    Lead, Jan. 2021, Japanese Economic Review

    Introduction scientific journal

  • A simple model for the macroscopic fluctuations of temporal networks

    Teruyoshi Kobayashi, Mathieu Génois

    Lead, May 2020, arXiv:2005.09445, English

    Technical report

  • Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach

    Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki, Emilio Ferrara

    Corresponding, 2020, Journal of Computational Social Science, in press, English, Co-authored internationally

    [Refereed]

  • Irreversible monetary policy at the zero lower bound

    Kohei Hasui, KOBAYASHI TERUYOSHI, Tomohiro Sugo

    Apr. 2019, Discussion Paper No.1906, Graduate School of Economics, Kobe University, English

    Technical report

  • Extracting the multi-timescale activity patterns of online financial markets

    KOBAYASHI TERUYOSHI, Anna Sapienza, Emilio Ferrara

    Feb. 2018, arXiv, English

    Technical report

  • Significant ties: Identifying relationship lending in temporal interbank networks

    KOBAYASHI TERUYOSHI, Taro Takaguchi

    Aug. 2017, arXiv:1708.08594, English

    Technical report

  • Social dynamics of financial networks

    KOBAYASHI TERUYOSHI, Taro Takaguchi

    Mar. 2017, arXiv:1703.10832, English

    Technical report

  • Immunizing networks by targeting collective influencers at a mesoscopic level

    KOBAYASHI TERUYOSHI, Naoki Masuda

    Jun. 2016, Discussion Paper Series, Graduate School of Economics, 1616, English

    Technical report

  • 金融政策と物価上昇率2%目標

    KOBAYASHI TERUYOSHI

    日本評論社, Mar. 2016, 経済セミナー, Japanese

    [Invited]

    Introduction commerce magazine

  • Trend-driven information cascades on random networks

    KOBAYASHI TERUYOSHI

    Kobe University, Aug. 2015, Kobe University Discussion Paper 1529, English

    Technical report

  • Cascades in multiplex financial networks with debts of different seniority

    KOBAYASHI TERUYOSHI, Charles D. Brummitt

    Jan. 2015, arXiv, 1501.05400, English

    Technical report

  • 金利平価とフォワード・プレミアム・パズル

    KOBAYASHI Teruyoshi

    2011, Economic Science, 59巻3号, Japanese

    Introduction scientific journal

  • Unstable diffusion in social networks

    Teruyoshi Kobayashi, Yoshitaka Ogisu, Tomokatsu Onaga

    How and to what extent will new activities spread through social ties? Here, we develop a more sophisticated framework than the standard mean-field approach to describe the diffusion dynamics of multiple activities on complex networks. We show that the diffusion of multiple activities follows a saddle path and can be highly unstable. In particular, when the two activities are sufficiently substitutable, either of them would dominate the other by chance even if they are equally attractive ex ante. When such symmetry-breaking occurs, any average-based approach cannot correctly calculate the Nash equilibrium - the steady state of an actual diffusion process.

    28 Sep. 2021

Books etc

  • 金融政策(第2版) (【ベーシック+】)

    小林照義

    Single work, 中央経済社, 29 Jan. 2020, ISBN: 4502332011

  • 金融政策

    KOBAYASHI TERUYOSHI

    Single work, 中央経済社, Feb. 2015, Japanese

    Textbook

Presentations

  • Scaling relations reveal the switching dynamics of temporal networks

    Teruyoshi Kobayashi

    CompleNet Live 2021, 24 May 2021, English

    Oral presentation

  • The switching mechanisms of densification in temporal networks

    小林照義

    Eurasian Summit for Models of Society, 03 Mar. 2021, English

    [Invited]

    Invited oral presentation

  • Two types of densification scaling in social and financial networks

    Teruyoshi Kobayashi

    NetSci 2020 satellite workshop “Complexity Meets Finance: Data, Methods and Policy Implications”, 18 Sep. 2020, English

    [Invited]

    Invited oral presentation

  • Diurnal dynamics of financial systemic risk

    Shaunette Ferguson, Sadamori Kojaku, Teruyoshi Kobayashi

    NetSci-X 2020, 22 Jan. 2020, English

    Oral presentation

  • Fire sales as multistate contagion on bipartite networks

    Tomokatsu Onaga, Fabio Caccioli, Teruyoshi Kobayashi

    Complex Networks 2019, Dec. 2019, English, International conference

    Poster presentation

  • Characterizing the dynamics of financial networks

    小林 照義

    キヤノングローバル戦略研究所「経済・社会への分野横断的研究会」, 08 Nov. 2019, English, International conference

    [Invited]

    Invited oral presentation

  • 銀行間取引ネットワークのダイナミクス

    小林 照義

    RIMS共同研究「マクロ経済動学の非線形数理」, 17 Oct. 2019, Japanese, Domestic conference

    [Invited]

    Public discourse

  • Uncovering the network dynamics in financial markets

    KOBAYASHI TERUYOSHI

    Macroeconomics workshop, Apr. 2019, English, 東京大学, Domestic conference

    [Invited]

    Public discourse

  • 社会・経済ネットワークの数理モデルとその解法

    KOBAYASHI TERUYOSHI

    次世代の科学技術を支える数値解析学の基盤整備と応用展開, Nov. 2018, Japanese, 京都大学数理解析研究所, Domestic conference

    [Invited]

    Invited oral presentation

  • Network approaches to analyzing the financial system

    KOBAYASHI TERUYOSHI

    慶應マクロセミナー, Oct. 2018, Japanese, Domestic conference

    [Invited]

    Invited oral presentation

  • 金融ネットワークのモデルと実データ解析

    KOBAYASHI TERUYOSHI

    ネットワーク科学セミナー2018, Aug. 2018, Japanese, Domestic conference

    [Invited]

    Invited oral presentation

  • The backbone of temporal networks

    KOBAYASHI TERUYOSHI

    第6回 数理モデリング研究会, Jul. 2018, Japanese, Domestic conference

    Public discourse

  • Identifying significant ties in temporal interbank networks

    KOBAYASHI TERUYOSHI

    NetSci2018 satelite meeting (SPFEN), Jun. 2018, English, International conference

    Oral presentation

  • Backboning temporal networks

    KOBAYASHI TERUYOSHI

    NetSci2018, Jun. 2018, English, International conference

    Oral presentation

  • テンポラル金融ネットワークのデータ解析

    KOBAYASHI TERUYOSHI

    ネットワーク科学と経済学の接点, Dec. 2017, Japanese, Domestic conference

    Public discourse

  • Temporal dynamics of interbank networks

    KOBAYASHI TERUYOSHI

    日本銀行金融研究所セミナー, Oct. 2017, Japanese, Domestic conference

    Public discourse

  • Identification of significant ties: An application to temporal interbank networks

    KOBAYASHI TERUYOSHI

    ネットワーク科学セミナー2017, Aug. 2017, Japanese, 統計数理研究所, Domestic conference

    Poster presentation

  • 銀行間ネットワークにおける取引パターンの検出

    KOBAYASHI TERUYOSHI

    第4回 数理モデリング研究会, Jul. 2017, Japanese, 高等セミナーハウス, Domestic conference

    Oral presentation

  • 銀行間ネットワークのデータ解析とモデリング

    KOBAYASHI TERUYOSHI

    人工知能学会 (OS19 金融情報学-ファイナンスにおける人工知能応用-), Jun. 2017, Japanese, ウインクあいち, Domestic conference

    [Invited]

    Invited oral presentation

  • Temporal dynamics of interbank networks

    KOBAYASHI TERUYOSHI

    NetSci2017, Jun. 2017, English, JW Marriott, Indianapolis, International conference

    Oral presentation

  • Immunizing networks by targeting collective influencers

    KOBAYASHI TERUYOSHI

    Kobe Workshop on Computational and Network Science 2016, Sep. 2016, English, Kobe U. Integrated research center, International conference

    [Invited]

    Invited oral presentation

  • A community-based collective influence algorithm for immunizing networks

    KOBAYASHI TERUYOSHI

    APEC-SSS, Aug. 2016, English, 東京大学, International conference

    Oral presentation

  • Cascades in multiplex financial networks with debts of different seniority

    KOBAYASHI TERUYOSHI

    Applied Econometrics conference, Jun. 2016, English, Alamoana Hotel, Honolulu, Hawaii, USA, International conference

    Oral presentation

  • 金融システミックリスクへのネットワーク論的アプローチ

    KOBAYASHI TERUYOSHI

    複雑ネットワーク ウインターセッション, Mar. 2016, Japanese, 茨城大学, Domestic conference

    Public discourse

  • Cascades in multiplex financial networks with debts of different seniority

    KOBAYASHI TERUYOSHI

    金融工学・数理計量ファイナンスの諸問題 2015, Dec. 2015, Japanese, 大阪大学中之島センター, Domestic conference

    Oral presentation

  • Cascades in multiplex financial networks with debts of different seniority

    KOBAYASHI TERUYOSHI

    Annual Conference by Four Universities of Japan and China Rethinking 0f East Asian Economy in 21th Century, Nov. 2015, English, Kobe University, International conference

    Oral presentation

  • 金融市場におけるシステミック・リスクへのネットワーク論的アプローチ

    KOBAYASHI TERUYOSHI

    ネットワークの科学, Aug. 2015, Japanese, 国際高等研究所, Domestic conference

    [Invited]

    Invited oral presentation

  • 大規模ネットワークにおける複数ノード組に対する重要度の特徴付け

    IRIE Rini, KOBAYASHI Teruyoshi, YAGUCHI Takaharu

    第44回数値解析シンポジウム, Jun. 2015, Japanese, ぶどうの丘, Domestic conference

    Oral presentation

  • 金融ネットワーク研究の潮流

    KOBAYASHI TERUYOSHI

    金融ネットワーク研究会, Jan. 2015, Japanese, 京急観音崎ホテル, Domestic conference

    Public discourse

  • Asset correlation and network fragility: How should we intervene?

    KOBAYASHI TERUYOSHI

    Systemic Risk: Mathematical Modelling and Interdisciplinary Approaches, Sep. 2014, English, Isaac Newton Institute, Cambridge University, International conference

    Oral presentation

  • 金融ネットワークのモデル化

    KOBAYASHI TERUYOSHI

    金融ネットワークに関する勉強会, Jul. 2014, Japanese, 日本銀行 金融機構局, Domestic conference

    Public discourse

  • 金融ネットワークモデル

    KOBAYASHI TERUYOSHI

    金融ネットワーク研究会, Jun. 2014, Japanese, NEC 芝クラブ, Domestic conference

    Public discourse

  • Efficient immunization strategy to prevent financial contagion

    KOBAYASHI TERUYOSHI

    Modern monetary economics workshop, Sep. 2013, Japanese, 神戸大学, Domestic conference

    Oral presentation

  • Network versus portfolio structure in financial systems

    KOBAYASHI TERUYOSHI

    決済の経済学 ワークショップ, Jun. 2013, English, 日本銀行金融研究所, 日本銀行本店, International conference

    [Invited]

    Invited oral presentation

  • Network versus portfolio structure in financial systems

    KOBAYASHI TERUYOSHI

    バブル・金融危機ワークショップ, Feb. 2013, Japanese, 神戸大学経済経営研究所, Domestic conference

    Oral presentation

  • Firm entry, credit availability and monetary policy

    Kobayashi Teruyoshi

    Workshop on banking and industrial network at RIETI, Jan. 2011, English, RIETI, 東京, Domestic conference

    Invited oral presentation

  • Firm entry, credit availability and monetary policy

    Kobayashi Teruyoshi

    Workshop on Macroeconomics, Nov. 2010, English, 大阪大学, 大阪市, Domestic conference

    Invited oral presentation

  • Firm entry, credit availability and monetary policy

    Kobayashi Teruyoshi

    RIEB workshop on mathematical economics, 2010, English, 神戸大学, 神戸市, Domestic conference

    Oral presentation

  • Firm entry, credit availability and monetary policy

    Kobayashi Teruyoshi

    Joint Lunch Seminar, 2010, English, ECB, Frankfurt, Germany, International conference

    Invited oral presentation

  • Unstable diffusion in social networks

    小林照義

    DC Conference, 16 Oct. 2021

    Oral presentation

  • Diffusion dynamics on monoplex and multiplex networks

    小林照義

    日本経済学会秋季大会, 09 Oct. 2021

    Oral presentation

Research Projects

Academic Contribution

  • Academic Editor, PLOS ONE

    Academic Editor, PLOS ONE

    2018 - Present

    Review

  • Guest Editor, Japanese Economic Review

    Guest Editor, Japanese Economic Review

    Jan. 2021

    Review

  • Program Committee, NetSci 2020

    Program Committee, NetSci 2020

    Network Science Society

    Sep. 2020

    Academic society etc

  • Program Committee, NetSci-X 2020

    Program Committee, NetSci-X 2020

    Network Science Society

    Jan. 2020

    Academic society etc

  • Guest Editor, Applied Network Science

    Guest Editor, Applied Network Science

    2020

    Review

  • Program Committee, CCS 2019

    Program Committee, CCS 2019

    Complex Systems Society

    Sep. 2019

    Academic society etc