Reza Taleblou; Mohammad Mahdi Davoudi
Abstract
In this paper, in order to calculate portfolio market risk of 10 selected industries indices in Tehran Stock Exchange, two models of Value Risk (VaR) and Expected shortfall (ES) have been used. Different models of multivariate GARCH and various Coppola models have been used in order to estimate the volatility ...
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In this paper, in order to calculate portfolio market risk of 10 selected industries indices in Tehran Stock Exchange, two models of Value Risk (VaR) and Expected shortfall (ES) have been used. Different models of multivariate GARCH and various Coppola models have been used in order to estimate the volatility of the portfolio and nonlinear correlation of asset portfolio. Backtesting has been done by Kupiec, Christoffersen, Engle and Manganelli and McNeill and Ferry tests. Results show that the DCC-GARCH model by t-Student distribution compared to other competing models has the best results in estimating volatility of the asset portfolio. Also among all Copula models reviewed in this paper, t-student copula model has shown better results for estimating asset dependence. Finally, the results of backtesting of different models showed that both the DCC-GARCH model with t-Student distribution and DCC-GARCH-Copula with t-Student distribution have acceptable results in estimating VaR and ES. However, the Lopez and Blanco and Ihle tests showed that the DCC-GARCH model with t-Student distribution compared to the DCC-GARCH-Copula model with t-Student distribution gives a more accurate and efficient estimate of the VaR and ES of asset portfolios.
Esmaiel Abounoori; Mansour Tour
Abstract
Information about optimal risk hedge ratio, optimal weight of asset portfolios, the intensity and direction of impact of shock and volatility on financial markets is important for investment, policy, risk management and development of financial markets. In this study, to examine risk hedge ratio, optimal ...
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Information about optimal risk hedge ratio, optimal weight of asset portfolios, the intensity and direction of impact of shock and volatility on financial markets is important for investment, policy, risk management and development of financial markets. In this study, to examine risk hedge ratio, optimal weight of asset and the volatility spillover among Iran, the United States, Turkey and UAE stock markets, multivariate GARCH model is estimated using the weekly stock index data from December 15, 2008 to April 10, 2017. Independence of Iran stock market from other markets is due to the relatively low volatility of the Iran stock market and the insignificant correlation between the Iran market and other markets, so risk hedge ratio and optimal weight of assets between the stock market of the studied countries and Iran is low. Also the results indicate considerable own ARCH and GARCH effects on the stock market of these countries. The US economy is relatively large, thus other markets have no significant effect on this market as expected. Most of the eigenvalues of the ARCH and GARCH effects matrix has been slightly smaller than unit, which indicates that relative stability in these markets has been low against domestic and foreign shock and volatility.