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Evaluating density forecasts with an application to stock market returns
Raaij, Gabriela de; Raunig, Burkhard - 2002
Persistent link: https://www.econbiz.de/10001650402
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Forecasting value-at-risk using block structure multivariate stochastic volatility models
Asai, Manabu; Caporin, Massimiliano; McAleer, Michael - 2012 - Rev.
Persistent link: https://www.econbiz.de/10009562985
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The contribution of frictions to expected returns
Hirakiy, Kazuhiro; Skiadopoulos, George - 2018
We derive a model-free option-based formula to estimate the contribution of market frictions to expected returns (CFER) within an asset pricing setting. We estimate CFER for the U.S. optionable stocks. We document that CFER is sizable, it predicts stock returns and it subsumes the effect of...
Persistent link: https://www.econbiz.de/10011932555
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Testing for longer horizon predictability of return volatility with an application to the German DAX
Raunig, Burkhard - 2003
Persistent link: https://www.econbiz.de/10001815044
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Modelling and forecasting noisy realized volatility
Asai, Manuabu; McAleer, Michael; Medeiros, Marcelo C. - 2010
Persistent link: https://www.econbiz.de/10008669930
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Realized volatility risk
Allen, David E.; McAleer, Michael; Scharth, Marcel - 2010
Persistent link: https://www.econbiz.de/10008689075
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How does the market variance risk premium vary over time? : evidence from S&P 500 variance swap investment returns
Konstantinidi, Eirini; Skiadopoulos, George - 2014
maturities and investment horizons and they are economically significant. Volatility trading strategies which condition on the …
Persistent link: https://www.econbiz.de/10010472838
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Bayesian predictive distributions of oil returns using mixed data sampling volatility models
Virbickaite, Audrone; Nguyen, Hoang; Minh-Ngoc Tran - 2023
This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an … extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models … Stochastic Volatility (SV), along with Mixed Data Sampling (MIDAS) regressions, which enable us to incorporate the impacts of …
Persistent link: https://www.econbiz.de/10014252427
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Understanding the risk-return tradeoff in the stock market
Guo, Hui (contributor) - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001969582
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Time-varying risk premia and the cross section of stock returns
Guo, Hui (contributor) - 2003 - [Elektronische Ressource], rev
Persistent link: https://www.econbiz.de/10001973914