Extreme risk connectedness among global major financial institutions: Links to globalization and emerging market fear

被引:6
|
作者
Liao, Yin [1 ]
Pan, Zheyao [1 ]
机构
[1] Macquarie Univ, Dept Appl Finance, Sydney, Australia
关键词
Realized jumps; Extreme risk connectedness; Financial institutions; Globalization; Emerging market fear; High-frequency data; TIME MODEL; JUMPS; SPILLOVERS; VOLATILITY; VARIANCE; IMPACT;
D O I
10.1016/j.pacfin.2022.101862
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Using high frequency data and "realized jumps"to depict extreme risk of stock returns, we propose a novel empirical framework to estimate and visualize the network structure of extreme risk among the global major financial institutions. With this model, we construct a series of indices to describe how the extreme risk connectedness evolves over time at the institution, country and global levels, and study the underlying factors driving the connectedness. Our results show that the degree of globalization, in particular, political globalization plays the most important role in driving a country's importance in global extreme risk propagation. We also identify the "emerging market fear", which is evidenced by the increased importance of emerging countries in the global financial extreme risk propagation; the increased proportion of emerging market-based institutions in the systemically important financial institution cohort; and a stronger granular impact of emerging market extreme risk on the global financial market stability. These results have important implications on managing systemic risk of global financial system.
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页数:15
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  • [1] Global financial risk and market connectedness: An empirical analysis of COVOL and major financial markets
    Lang, Chunlin
    Xu, Danyang
    Corbet, Shaen
    Hu, Yang
    Goodell, John W.
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 93
  • [2] Business connectedness or market risk? Evidence from financial institutions in China
    Liang, Qi
    Lu, Yanchen
    Li, Zheng
    [J]. CHINA ECONOMIC REVIEW, 2020, 62
  • [3] Multilayer networks in the frequency domain: Measuring extreme risk connectedness of Chinese financial institutions
    Ouyang, Zisheng
    Zhou, Xuewei
    [J]. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2023, 65
  • [4] Connectedness in the global banking market network: Implications for risk management and financial policy
    Mendoza, Jorge A. Munoz
    Ramos, Carmen L. Veloso
    Fuentealba, Carlos L. Delgado
    Gomez, Ivan E. Araya
    Yelpo, Sandra M. Sepulveda
    Saavedra, Edinson E. Cornejo
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 95
  • [5] The extreme risk connectedness of the global financial system: G7 and BRICS evidence
    Chen, Ning
    Li, Shaofang
    Lu, Shuai
    [J]. JOURNAL OF MULTINATIONAL FINANCIAL MANAGEMENT, 2023, 69
  • [6] Market Risk of Developed and Emerging Countries During the Global Financial Crisis
    Koksal, Bulent
    Orhan, Mehmet
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2013, 49 (03) : 20 - 34
  • [7] Global Risk, Non-Bank Financial Intermediation, and Emerging Market Vulnerabilities
    Chari, Anusha
    [J]. ANNUAL REVIEW OF ECONOMICS, 2023, 15 : 549 - 572
  • [8] Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective
    Wen, Shigang
    Li, Jianping
    Huang, Chuangxia
    Zhu, Xiaoqian
    [J]. QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2023, 88 : 190 - 202
  • [9] Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market
    Herrera, Rodrigo
    Schipp, Bernhard
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2014, 29 : 218 - 238
  • [10] Liquidity crunch and interdependence among major financial institutions during global financial turmoil Evidence from credit default swap spreads
    Ohno, Sanae
    [J]. ECONOMICS AND FINANCE RESEARCH, 2011, 4 : 455 - 459