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The Role of Contagion and Integration in Risk Management Measures

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  • Jaime de Jesus Filho
  • Paulo Matos
  • Ronald Fonseca

Abstract

We add to the discussion on risk management by proposing an innovative measure of Value at Risk (VaR), which relaxes some statistical assumptions. We provide a VaR based on time-varying moments of the best-fitting probability distribution function. This risk measure can capture the cross-effects associated with contagion and integration through the estimation of a multivariate autoregressive moving average–generalized autoregressive heteroskedasticity (ARMA–GARCH). We implement an empirical exercise to account for the risk management of some of the main worldwide financial sector indices of G20 economies. According to Basel back-testing and back-testing that deals with the frequency and conditionality of losses exceeding VaR, this innovative VaR seems to perform better than Basel VaR.

Suggested Citation

  • Jaime de Jesus Filho & Paulo Matos & Ronald Fonseca, 2023. "The Role of Contagion and Integration in Risk Management Measures," Global Business Review, International Management Institute, vol. 24(5), pages 1111-1128, October.
  • Handle: RePEc:sae:globus:v:24:y:2023:i:5:p:1111-1128
    DOI: 10.1177/0972150920933857
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    References listed on IDEAS

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    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    3. West, Kenneth D. & Cho, Dongchul, 1995. "The predictive ability of several models of exchange rate volatility," Journal of Econometrics, Elsevier, vol. 69(2), pages 367-391, October.
    4. Shegorika Rajwani & Dilip Kumar, 2016. "Asymmetric Dynamic Conditional Correlation Approach to Financial Contagion: A Study of Asian Markets," Global Business Review, International Management Institute, vol. 17(6), pages 1339-1356, December.
    5. Wei‐Han Liu, 2010. "Estimation and testing of portfolio Value‐at‐Risk based on L‐comoment matrices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(9), pages 897-908, September.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    7. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
    8. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    9. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    10. Bera, Anil K. & Jarque, Carlos M., 1981. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals : Monte Carlo Evidence," Economics Letters, Elsevier, vol. 7(4), pages 313-318.
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