نوع مقاله : علمی - پژوهشی
نویسندگان
1 دانشجوی دکتری مدیریت مالی، دانشگاه آزاد اسلامی، واحد تهران مرکز، تهران، ایران.
2 دانشیار گروه مدیریت، واحد تهران مرکز، دانشگاه آزاد اسلامی، تهران، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
To optimize the investment portfolio, conditional value at risk is a new approach. To amend the non-normal distribution of return on assets, and the non-linear correlation between return, the modification of Copula-CVaR compound method has a better performance in measuring portfolio risk. In this study, it has been attempted to present a more efficient model for portfolio optimization that provides greater returns for investors, given the uncertainty investment conditions. The VaR model was compared variance-covariance approach and the Copula-CVaR model for their efficiency frontier. The research area entails of 2014 up 2018; The statistical population was the top 50 companies of TSE.The variance-covariance approach was used to estimate the VaR of the portfolio. Moreover to estimate the Copula-CVaR model we have used the ARIMA-GARCH time series disruption component of the asset return distribution; then the marginal distributions of the assets were estimated using the CAPA-Student function; finally through Monte Carlo simulation the return on assets and their CVaR for the 10-day period were calculated. The optimal portfolio composition was determined at 95% and 99% confidence levels for different levels of risk. The results of this study showed that the optimized portfolio formation using the compound model, the Copula-CVaR model, has performed better.
کلیدواژهها [English]