frequency; governance; operational losses; severity; Business and International Management; Industrial Relations; Sociology and Political Science; Public Administration; Economics, Econometrics and Finance (all); Strategy and Management; General Economics, Econometrics and Finance
Abstract :
[en] The severity and frequency of operational loss events show high variability across the globe. In this paper, we first examine the extent to which the quality of country-level governance measured by the Worldwide Governance Indicators explains cross-country variation of operational losses. We use the comprehensive database of SAS OpRisk Global for the period of 2008-2019 covering 132 countries and 8,144 loss events with a total loss amount of almost 490 billion USD. Our findings indicate that the governance indicators lost their explanatory power over the past decades, which contradicts the academic consensus and calls for new explanatory variables. To find these variables, we hypothesize that the changes are driven by some important megatrends such as economic development and technological advancement, globalization, and sustainability. Accordingly, we propose an extended model where the number of mobile subscribers, the export to GDP ratio, and the poverty headcount ratio were significant for the frequency. For severity, only GDP is a significant and robust explanatory variable. Investors, regulators, and analysts should, therefore, concentrate on these factors if they wish to model, manage, or mitigate operational risks.
Disciplines :
Finance
Author, co-author :
BERLINGER, Edina ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF) ; Department of Finance, Corvinus University of Budapest, Budapest, Hungary
Keresztúri, Judit Lilla ; Department of Finance, Corvinus University of Budapest, Budapest, Hungary
Lublóy, Ágnes; Department of Accounting and Finance, Stockholm School of Economics in Riga, Rīga, Latvia
Voneki, Zsuzsanna Tamásné; Operational Risk Management Department, Otp Bank, Budapest, Hungary
External co-authors :
yes
Language :
English
Title :
Does governance matter? Country-level determinants of operational risk
‘Financial and Public Services’ research project Hungarian Academy of Sciences
Funding text :
This research was supported by the Higher Education Institutional Excellence Program 2020 of the Ministry of Innovation and Technology in the framework of the ‘Financial and Public Services’ research project (TKP2020-IKA-02) at Corvinus University of Budapest. Edina Ber-linger’s research was supported by the Bolyai János scholarship of the Hungarian Academy of Sciences. Zsuzsanna TamásnéVoneki thanks SAS Global for the access to the database.
Abdymomunov, A.; Curti, F.; Mihov, A. (2020): US Banking Sector Operational Losses and the Macroeconomic Environment. Journal of Money, Credit and Banking 52(1): 115-144.
Alifano, D.; Corradi, V.; Distaso, W. (2019): The Determinants of Operational Risk Losses. Available at SSRN 3407863.
Allen, L.; Saunders, A. (2004): Incorporating Systemic Influences Into Risk Measurements: A Survey of the Literature. Journal of Financial Services Research 26(2): 161-191.
Anderson, D. R.; Anderson, K. E. (2009): Sustainability Risk Management. Risk Management and Insurance Review 46(6): 25.
BCBS (2004): International Convergence of Capital Measurement and Capital Standards: A Revised Framework. Basel Committee on Banking Supervision, June 2004 http://www.bis.org/publ/bcbs107.htm, accessed 03/10/2015
Chernobai, A.; Jorion, P.; Yu, F. (2011): The Determinants of Operational Risk in U.S. Financial Institutions. Journal of Financial and Quantitative Analysis 46(6): 1683-1725.
CIA (2020): The World Factbook. Legal System. https://www.cia.gov/library/publications/the-worldfactbook/fields/308.html, accessed 05/01/2020.
Cope, E. W.; Piche, M. T.; Walter, J. S. (2012): Macroenvironmental Determinants of Operational Loss Severity. Journal of Banking & Finance 36(5): 1362-1380.
Curti, F.; Mihov, A. (2018): Fraud Recovery and the Quality of Country Governance. Journal of Banking & Finance 87: 446-461.
Dawson, R. (2011): How Significant is a Boxplot Outlier? Journal of Statistics Education 19(2).
Dhaliwal, D. S.; Li, O. Z.; Tsang, A.; Yang, Y. G. (2011): Voluntary Nonfinancial Disclosure and the Cost of Equity Capital: The Initiation of Corporate Social Responsibility Reporting. The Accounting Review 86(1): 59-100.
Dehn, C.; Everington, N. (2020): Geopolitical Risk; What is it and How Can Companies Respond to It? https://www.kroll.com/en/insights/publications/compliance-risk/companies-respond-geopolitical-risk, accessed 27/06/2020.
Gladwell, M. (2008): Outliers: The Story of Success. New York: Little, Brown and Company.
Homolya, D. (2011): Operational Risk and Its Relationship with Institution Size in the Hungarian Banking Sector. MNB Bulletin 6(2): 7-17.
Kaufmann, D.; Kraay, A.; Mastruzzi, M. (2011): The Worldwide Governance Indicators: Methodology and Analytical Issues. Hague Journal on the Rule of Law 3(2): 220-246.
Kaufmann, W.; Lafarre, A. (2020): Does Good Governance Mean Better Corporate Social Performance? A Comparative Study of OECD Countries. International Public Management Journal 1-30.
Li, L.; Moosa, I. (2015): Operational Risk, the Legal System and Governance Indicators: A Country-Level Analysis. Applied Economics 47(20): 2053-2072.
Moosa, I. A.; Li, L. (2013): The Frequency and Severity of Operational Losses: A Cross-Country Comparison. Applied Economics Letters 20(2): 167-172.
Naffa, H.; Fain, M. (2020): Performance Measurement of ESG-Themed Megatrend Investments in Global Equity Markets Using Pure Factor Portfolios Methodology. Plos One 15(12): e0244225.
Naffa, H.; Fain, M. (2021): A factor Approach to the Performance of ESG Leaders and Laggards. Finance Research Letters 102073.
Risk.net (2020): Top 10 Operational Risks for 2020. The Biggest op Risks for 2020, as Chosen by Industry Practitioners. https://www.risk.net/risk-management/7450731/top-10-operational-risks-for-2020, accessed 27/06/2020.
SAS (2015): SAS OpRisk Global Data. https://www.sas.com/content/dam/SAS/en-us/doc/productbrief/sas-oprisk-global-data-101187.pdf, accessed 16/01/2020.
Sharfman, M. P.; Fernando, C. S. (2008): Environmental Risk Management and the Cost of Capital. Strategic Management Journal 29(6): 569-592.
Waddock, S. A.; Graves, S. B. (1997): The Corporate Social Performance-Financial Performance Link. Strategic Management Journal 18(4): 303-319.
Wei, L.; Li, J.; Zhu, X. (2018): Operational Loss Data Collection: A Literature Review. Annals of Data Science 5(3): 313-337.
World Bank (2020a): World Governance Indicators. The World Bank DataBank. https://databank. worldbank.org/source/worldwide-governance-indicators, accessed 10/01/2020.
World Bank (2020b): GDP. The World Bank DataBank. https://databank.worldbank.org/source/worlddevelopment-indicators, accessed 10/01/2020.
World Bank (2020c): GNI Per Capita. The World Bank DataBank. https://databank.worldbank.org/source/world-development-indicators, accessed 10/01/2020.
Zhao, C.; Song, H.; Chen, W. (2016): Can Social Responsibility Reduce Operational Risk: Empirical Analysis of Chinese Listed Companies. Technological Forecasting and Social Change 112: 145-154.