Document Type : Research Paper

Authors

1 Associate Professor, Faculty of Economics, Allameh Tabataba'i University

2 Ph.D. Student of Financial Economics, Allameh Tabataba'i University

Abstract

This study examines the impact of a negative shock-attributed to a systemic risk-on the industrial indexes of the Tehran stock market using daily data form 21 January, 2008 to 22 September, 2017. Using a Vector Autoregressive for Value at Risk (VAR-VaR) and a quantile Impulse-response function that was newly proposed by White et al 2015, we focus on the tail interdependence between industrial index returns (financial institutions) and the market shock index and show how each industrial stock risks contemporaneously and dynamically response to systemic market shocks. Our finding show that there is a significant volatility spillover from a systemic shock to financial institutions in Tehran stock market. However as expected the magnitude of its impact is not the same for all industrial index risks. For examples, the impact of its shock on the bank and metal industrial volatilities is more sizable compared to its impact on the others. And finally, the stock market index has a strong and persistence tail dependency with the chemical and petroleum product industries.

Keywords

خیابانی، ناصر و ساروقی، مریم (1390). ارزش‌گذاری برآورد VaR براساس مدل‌های خانواده ARCH. پژوهش‌های اقتصادی ایران، دوره 16، شماره 47، 73-53.
Acharya. V, Pedersen.L.H, Philippon.T, and Richardson.M. (2017). Measuring systemic risk. The Review of Financial Studies30(1), 2-47.
Adrian. T, and Brunnermeier. M. K. (2016). CoVaR. The American Economic Review106(7), 1705-1741.
Almakrami. M. (2013). The use of financial statements to predict the stock market effects of systemic crises. The Claremont Graduate University.
Bernal. O,Gnabo. J. Y, and Guilmin. G. (2014). Assessing the contribution of banks, insurance and other financial services to systemic risk. Journal of Banking and Finance.  47, 270-287.
Bisias, D., Flood, M., Lo, A. W., & Valavanis, S. (2012). A survey of systemic risk analytics. Annual Review Financial Economics, 4(1), 255-296.
Bisias. D. Flood, M. D. Lo, A. W, and Valavanis. S. (2012). A survey of systemic risk analytics. US Department of Treasury, Office of Financial Research, (vo1.1). Working Paper.
Brownlees. C. T,and Engle. R. F. (2012). Volatility, correlation and tails for systemic risk measurement .Available at SSRN 1611229.
Chernozhukov. V, and Umantsev. L. (2001). Conditional value-at-risk: Aspects of modeling and estimation. Empirical Economics26(1), 271-292.
De Bandt, O.,Hartmann, P.,(2000). Systimic risk: a survey. European Central Bank working paper. no 35.
Engle. R. F, and Manganelli. S. (2004). CAViaR: Conditional autoregressive value at risk by regression quantiles. Journal of Business and Economic Statistics. 22(4), 367-381.
Iori. G, Jafarey. S, & Padilla. F. G, (2006). Systemic risk on the interbank market. Journal of Economic Behavior and Organization61(4), 525-542.
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of economic perspectives, 15(4), 143-156.
Oet. M. V, Bianco. T, Gramlich. D, and Ong. S. J. (2013). SAFE: An early warning system for systemic banking risk. Journal of Banking and Finance37(11) ,4510-4533.
Reboredo. J. C. (2015). Is there dependence and systemic risk between oil and renewable energy stock prices?. Energy Economics48,32-45.
Rodriguez-Moreno. M, (2016). Systemic risk: measures and determinants (Vol.15). Ed. Universidad de Cantabria.
Stanciu, C. (2012). The financial crisis and the early warning system models. Annals of the University of Craiova, Economic Sciences Series3.
Tarashev. N, Borio. C, Tsatsaronis. K. )2010(.Attributing systemic risk to individual institutions. Bank for International Settlements. BIS Working Paper. No. 308.
Ugolini, A. (2017). Modelling systemic risk in financial markets(Vol. 234). Ed. Universidad de Cantabria.
Wewel, C. N. (2014). Essays on Systemic Risk and Stock Market Contagion (Doctoral dissertation, Universität zu Köln).
White. H, Kim. T. H, and Manganelli. S, (2015). VAR for VaR: Measuring tail dependence using multivariate regression quantiles. Journal of Econometrics, 187(1), 169-188.