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Stock returns and volatility: pricing the short-run and long-run components of market risk

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Tobias Adrian
Joshua Rosenberg

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Abstract

We decompose the time series of equity market risk into short- and long-run volatility components. Both components have negative and highly significant prices of risk in the cross section of equity returns. A three-factor model with the market return and the two volatility components compares favorably to benchmark models. We show that the short-run component captures market skewness risk, while the long-run component captures business cycle risk. Furthermore, short-run volatility is the more important cross-sectional risk factor, even though its average risk premium is smaller than the premium of the long-run component.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 254.

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Date of creation: 2006
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Handle: RePEc:fip:fednsr:254

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Keywords: Stocks - Rate of return Risk

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Full references

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 & Michael Gibson & Hao Zhou, 2007. "Dynamic Estimation of Volatility Risk Premia and Investor Risk Aversion from Option-Implied and Realized Volatilities," CREATES Research Papers 2007-16, School of Economics and Management, University of Aarhus. [Downloadable!]
    Other versions:
  2. Renatas Kizys & Peter Spencer, 2007. "Assessing the Relation between Equity Risk Premium and Macroeconomic Volatilities in the UK," Discussion Papers 07/13, Department of Economics, University of York. [Downloadable!]
  3. Til Schuermann & Kevin J. Stiroh, 2006. "Visible and hidden risk factors for banks," Staff Reports 252, Federal Reserve Bank of New York. [Downloadable!]
  4. Iván Werning, 2005. "Tax smoothing with redistribution," Staff Report 365, Federal Reserve Bank of Minneapolis. [Downloadable!]
  5. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2008. "High Idiosyncratic Volatility and Low Returns: International and Further U.S. Evidence," NBER Working Papers 13739, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Tobias Adrian & Hyun Song Shin, 2008. "Liquidity and leverage," Staff Reports 328, Federal Reserve Bank of New York. [Downloadable!]
  7. Hui Guo & Christopher J. Neely, 2006. "Investigating the intertemporal risk-return relation in international stock markets with the component GARCH model," Working Papers 2006-006, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
  8. Jie Zhu, 2008. "Pricing Volatility of Stock Returns with Volatile and Persistent Components," CREATES Research Papers 2008-14, School of Economics and Management, University of Aarhus. [Downloadable!]
  9. Peter Christoffersen & Kris Jacobs & Chayawat Ornthanalai & Yintian Wang, 2008. "Option Valuation with Long-run and Short-run Volatility Components," CREATES Research Papers 2008-11, School of Economics and Management, University of Aarhus. [Downloadable!]
    Other versions:
  10. Tim Bollerslev & Hao Zhou, 2007. "Expected Stock Returns and Variance Risk Premia," CREATES Research Papers 2007-17, School of Economics and Management, University of Aarhus. [Downloadable!]
    Other versions:
  11. Peter Christoffersen & Kris Dorion & Yintian Wang, 2008. "Volatility Components, Affine Restrictions and Non-Normal Innovations," CREATES Research Papers 2008-10, School of Economics and Management, University of Aarhus. [Downloadable!]
  12. Renatas Kizys & Peter Spencer, 2007. "Assessing the Relation between Equity Risk Premia and Macroeconomic Volatilities," Money Macro and Finance (MMF) Research Group Conference 2006 140, Money Macro and Finance Research Group. [Downloadable!]
  13. George Tauchen & Hao Zhou, 2006. "Realized jumps on financial markets and predicting credit spreads," Finance and Economics Discussion Series 2006-35, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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