Systemic Risk and Real Economic Activity: A South African Insurance Stress Index of Systemic Risk
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Abstract
This study investigates the link between systemic risk in the South African insurance sector and real economic activity in South Africa. To this end, we use six systemic risk measures, the Conditional Value at Risk (CoVaR), the Marginal Conditional Value at Risk (?CoVaR), the Comovement and Interconnectedness of the South African insurance sector (Eigen), the Dynamic Mixture Copula Marginal Expected Shortfall (DMC-MES), the Average Conditional Volatility (Ave-vol), and the South African Volatility Index (SAVI). We first evaluate the significance of each measure by assessing its ability to forecast future economic downturns in South Africa. We find that only two systemic risk measures possess the ability to predict future economic downturns in South Africa. We then use principal component quantile regression analysis to aggregate these measures into a composite stress index of systemic risk for the South African insurance sector and assess the ability of the proposed index to predict future economic downturns in South Africa. Our results reveal that the proposed index is a good predictor of future economic downturns in South Africa. Thus, our results suggest that regulators and risk managers must develop an analysis of systemic risk in the insurance sector with particular attention to its effects on real economic activity. In addition, our index can potentially be used as an instrument to monitor and mitigate systemic risk in the insurance sector in order to ensure the stability of the financial system and the economy in South Africa.
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References
Acharya, V. V., Pedersen, L. H., Philippon, T., & Richardson, M. P. (2010). Measuring systemic risk. Working paper, New York University. https://doi.org/10.26509/frbc-wp-201002
Acharya, V. V., & Richardson, M. P. (2014). Is the insurance industry systemically risky? In J. H. Biggs, & M. P. Richardson (Eds.), Modernizing insurance regulation (pp. 151–179). New York: John Wiley & Sons. https://doi.org/10.1002/9781118766798.ch9
Adrian, T., & Brunnermeier, M. K. (2008). CoVaR. NBER Working paper No. w17454, National Bureau of Economic Research.
Adrian, T., & Brunnermeier, M. K. (2016). CoVaR. American Economic Review, 106(7), 1705–1741. https://doi.org/10.1257/aer.20120555
Allen, L., Bali, T. G., & Tang, Y. (2012). Does systemic risk in the financial sector predict future economic downturns? The Review of Financial Studies, 25(10), 3000–3036. https://doi.org/10.1093/rfs/hhs094
Berdin, E., & Sottocornola, M. (2015). Insurance activities and systemic risk. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2616210
Bierth, C., Irresberger, F., & Weiß, G. N. F. (2015). Systemic risk of insurers around the globe. Journal of Banking and Finance, 55, 232–245. https://doi.org/10.1016/j.jbankfin.2015.02.014
Billio, M., Getmansky, M., Lo, A. W., & Pelizzon, L. (2012). Econometric measures of connectedness and systemic risk in the finance and insurance sectors. Journal of Financial Economics, 104(3), 535–559. https://doi.org/10.1016/j.jfineco.2011.12.010
Brownlees, C. T., & Engle, R. (2011). Volatility, correlation and tails for systemic risk. Finance Department, Stern School of Business, New York University. https://doi.org/10.2139/ssrn.1611229
Chen, X., & Zhou, H. (2016). Measuring systemic risk and identifying SIFIs in Chinese financial sector. Advances in Management & Applied Economics, 9(1), 67–117.
Cummins, J., & Weiss, M. (2014). Systemic risk and the U.S. insurance sector. The Journal of Risk and Insurance, 81(3), 489–527. https://doi.org/10.1111/jori.12039
Denkowska, A., & Wanat, S. (2020). Dependencies and systemic risk in the European insurance sector: New evidence based on copula-DCC-GARCH model and selected clustering methods. Entrepreneurial Business and Economics Review, 8(4), 7–27. https://doi.org/10.15678/EBER.2020.080401
Dungey, M., Luciani, M., & Veredas, D. (2014). The emergence of systemically important insurers. Unpublished.
Eckernkemper, T. (2018). Modeling systemic risk: Time-varying tail dependence when forecasting marginal expected shortfall. Journal of Financial Econometrics, 16(1), 63–117. https://doi.org/10.1093/jjfinec/nbx026
Eling, M., & Pankoke, D. (2012). Systemic risk in the insurance sector: What do we know? Working Papers No. 1222, University of St. Gallen.
Giglio, S., Kelly, B., & Pruitt, S. (2016). Systemic risk and the macroeconomy: An empirical evaluation. Journal of Financial Economics, 119(3), 457–471. https://doi.org/10.1016/j.jfineco.2016.01.010
Girardi, G., & Ergün, A.T. (2013). Systemic risk measurement: Multivariate GARCH estimation of CoVaR. Journal of Banking & Finance, 37(8), 3169–3180. https://doi.org/10.1016/j.jbankfin.2013.02.027
Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of nominal excess return on stocks. Journal of Finance, 48, 1779–1801. https://doi.org/10.1111/j.1540-6261.1993.tb05128.x
Hollo, D., Kremer, M., & Lo Duca, M. (2012). CISS – A composite indicator of systemic stress in the financial system. ECB Working Paper No. 1426. Frankfurt: European Central Bank. https://doi.org/10.2139/ssrn.1611717
International Monetary Fund (IMF). (2009). Global financial stability report, April. https://doi.org/10.5089/9781451945591.011
Insurance Institute of South Africa. (2016). Annual insurance conference. South Africa: Rustenburg.
Kaserer, C., & Klein, C. (2019). Systemic risk in the financial markets: How systemically important are insurers? The Journal of Risk and Insurance, 88(3), 729–759. https://doi.org/10.1111/jori.12236
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://doi.org/10.2307/1913643
Kubinschi, M., & Barnea, D. (2016). Systemic risk impact on economic growth- The case of the CEE countries. Romanian Journal of Economic Forecasting, 19(4), 79–94.
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54, 159–178. https://doi.org/10.1016/0304-4076(92)90104-Y
National Treasury, Republic of South Africa. (2011). A safer financial sector to serve South Africa better. Pretoria: National Treasury.
Phillips, P., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
Van Roye, B. (2011). Financial stress and economic activity in Germany and the euro area. Kiel Working Paper No. 1743, Kiel Institute for the World Economy.
Vermeulen, R., Hoeberichts, M., Vaší?ek, B., Žigraiová, D., Šmídková, K., & de Haan, J. (2015). Financial stress indices and financial crises. DNB Working Paper No. 469. Amsterdam: DeNederlandscheBank. https://doi.org/10.2139/ssrn.2591888
Weiß, G. N. F., & Muhlnickel, J. (2014). Why do some insurers become systemically relevant? Journal of Financial Stability, 13, 95–117. https://doi.org/10.1016/j.jfs.2014.05.001
Zheng, Z., Podobnik, B., Feng, L., & Li, B. (2012). Changes in cross-correlations as an indicator for systemic risk. Scientific Reports, 2, 888. https://doi.org/10.1038/srep00888