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In: Journal of International Financial Markets, Institutions & Money
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In: Journal of Financial and Quantitative Analysis, Volume 55, Issue 5, August 2020, pp. 1581-1618.
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In: Real Estate Economics, Band 47, Heft 4, S. 977-1012
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In: Journal of Economic Behavior and Organization, Forthcoming
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In: International Business Review, Forthcoming
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In: Revised version forthcoming in International Review of Finance
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In: The journal of financial research: the journal of the Southern Finance Association and the Southwestern Finance Association, Band 38, Heft 4, S. 417-459
ISSN: 1475-6803
AbstractThe existing literature is highly dispersed regarding the relation between volatility and expected returns. We combine several volatility measures and empirical methods to give a holistic overview of this fundamental relation in finance. Results indicate that total and idiosyncratic volatility levels and volatility changes have predictive power in the cross‐section of expected excess stock returns. Volatility levels are positively and volatility changes are negatively related to future stock returns. Exponentially weighted moving average (EWMA), generalized autoregressive conditional heteroskedasticity (GARCH), and threshold GARCH (TGARCH) volatility measures have the greatest predictive power. Controlling for the short‐term reversal effect and illiquidity does not help explain the predictive power of expected volatility.
In: International Business Review, 17 (2008)
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In: Journal of Behavioral and Experimental Finance, Band 39, Heft 100819
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