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Maziar Sahamkhadam Andreas Stephan Ralf Östermark 《International Journal of Forecasting》2018,34(3):497-506
This study uses GARCH-EVT-copula and ARMA-GARCH-EVT-copula models to perform out-of-sample forecasts and simulate one-day-ahead returns for ten stock indexes. We construct optimal portfolios based on the global minimum variance (GMV), minimum conditional value-at-risk (Min-CVaR) and certainty equivalence tangency (CET) criteria, and model the dependence structure between stock market returns by employing elliptical (Student- and Gaussian) and Archimedean (Clayton, Frank and Gumbel) copulas. We analyze the performances of 288 risk modeling portfolio strategies using out-of-sample back-testing. Our main finding is that the CET portfolio, based on ARMA-GARCH-EVT-copula forecasts, outperforms the benchmark portfolio based on historical returns. The regression analyses show that GARCH-EVT forecasting models, which use Gaussian or Student- copulas, are best at reducing the portfolio risk. 相似文献
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Khodamoradi Tahereh Salahi Maziar Najafi Ali Reza 《Decisions in Economics and Finance》2021,44(1):197-214
Decisions in Economics and Finance - Short selling strategy leads to a portfolio with significantly better risk-return structure compared to the standard approach. Moreover, investors can use... 相似文献
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