Systemic risk measures and regulatory challenges

被引:30
|
作者
Ellis, Scott [1 ]
Sharma, Satish [2 ]
Brzeszczynski, Janusz [1 ]
机构
[1] Northumbria Univ, Newcastle Business Sch, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
[2] Leeds Trinity Univ, Leeds LS18 5HD, W Yorkshire, England
关键词
Systemic risk; Systematic literature review; Data requirements; Macro-prudential regulation; COVID-19; pandemic; GLOBAL FINANCIAL CRISIS; STABLE FUNDING RATIO; SOLVENCY-LIQUIDITY NEXUS; BANKING SYSTEM; CREDIT-RISK; BASEL III; MARKET; STABILITY; CONTAGION; MODEL;
D O I
10.1016/j.jfs.2021.100960
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper discusses different definitions of systemic risk and identifies the challenges, which regulators face in addressing this phenomenon. We conducted a systematic literature review of 4859 abstracts to categorize the various methodologies developed to measure systemic risk. In total, 60 systemic risk measures proposed post-2000 have been critically appraised to inform academics and regulators of their practical applications and model vulnerabilities. This review suggests that most of these methods focus on individual financial institutions rather than on system stability. Those methodologies directly reflect the current regulations, which aim to ensure individual institutions' soundness. As macro-prudential regulation evolves, policy-makers face the issues of understanding contagion and how regulations should be implemented. This paper also discusses new systemic risk and regulatory challenges resulting from the current COVID-19 pandemic.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Aggregation-robustness and model uncertainty of regulatory risk measures
    Embrechts, Paul
    Wang, Bin
    Wang, Ruodu
    FINANCE AND STOCHASTICS, 2015, 19 (04) : 763 - 790
  • [42] Aggregation-robustness and model uncertainty of regulatory risk measures
    Paul Embrechts
    Bin Wang
    Ruodu Wang
    Finance and Stochastics, 2015, 19 : 763 - 790
  • [43] Are systemic risk measures effective? Evidence from macroeconomic downside risk prediction
    Jian, Zhihong
    Lu, Haisong
    Zhu, Zhican
    APPLIED ECONOMICS LETTERS, 2024, 31 (18) : 1820 - 1827
  • [44] Identification of Model Risk of Selected Systemic Risk Measures for The Polish Banking Industry
    Kuziak, Katarzyna
    Piontek, Krzysztof
    EDUCATION EXCELLENCE AND INNOVATION MANAGEMENT: A 2025 VISION TO SUSTAIN ECONOMIC DEVELOPMENT DURING GLOBAL CHALLENGES, 2020, : 5390 - 5399
  • [45] Impact of regulatory announcements on systemic risk in the Indian telecom sector
    Yalla, Sushma Priyadarsini
    Bhattacharyya, Somsekhar
    Jain, Karuna
    INTERNATIONAL JOURNAL OF EMERGING MARKETS, 2018, 13 (05) : 1395 - 1416
  • [46] Multivariate systemic risk measures and computation by deep learning algorithms
    Doldi, A.
    Feng, Y.
    Fouque, J. -P.
    Frittelli, M.
    QUANTITATIVE FINANCE, 2023, 23 (10) : 1431 - 1444
  • [47] Dynamic systemic risk measures for bounded discrete time processes
    E. Kromer
    L. Overbeck
    K. Zilch
    Mathematical Methods of Operations Research, 2019, 90 : 77 - 108
  • [48] On dependence consistency of CoVaR and some other systemic risk measures
    Mainik, Georg
    Schaanning, Eric
    STATISTICS & RISK MODELING, 2014, 31 (01) : 49 - 77
  • [49] Dynamic systemic risk measures for bounded discrete time processes
    Kromer, E.
    Overbeck, L.
    Zilch, K.
    MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2019, 90 (01) : 77 - 108
  • [50] Short Communication: Are Shortfall Systemic Risk Measures One Dimensional?*
    Doldi, Alessandro
    Frittelli, Marco
    Gianin, Emanuela Rosazza
    SIAM JOURNAL ON FINANCIAL MATHEMATICS, 2024, 15 (01): : SC1 - SC14