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On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach

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Author Info
Michael W. Brandt
Qiang Kang
Abstract

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a strong and robust negative correlation between the innovations to the conditional moments that leads to pronounced counter-cyclical variation in the Sharpe ratio. We document significant lead-lag correlations between the conditional moments that also appear related to business cycles. Finally, we show that although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due to the lead-lag correlations.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 9056.

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Date of creation: Jul 2002
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Handle: RePEc:nbr:nberwo:9056

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G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Tim Bollerslev & Hao Zhou, 2003. "Volatility puzzles: a unified framework for gauging return-volatility regressions," Finance and Economics Discussion Series 2003-40, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  2. Ravi Bansal & Varoujan Khatachtrian & Amir Yaron, 2002. "Interpretable Asset Markets?," NBER Working Papers 9383, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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