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Risk, Time-Varying Second Moments and Market Efficiency

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  • Attanasio, Orazio P

Abstract

This paper addresses two topics. First, it nests the consumption and static capital asset pricing model in a unified framework. Second, it tests for market efficiency. The first test is based on the idea that different models price risk on the basis of the covariance with different benchmark portfolios. The test of market efficiency is based on the idea that excess returns should be predictable only if risk and, therefore, second moments are predictable. The empirical results show that the static capital asset pricing model performs better than the consumption capital asset pricing model and that the former model accounts for the effects of dividend yields on expected returns. Copyright 1991 by The Review of Economic Studies Limited.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Review of Economic Studies.

Volume (Year): 58 (1991)
Issue (Month): 3 (May)
Pages: 479-94

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Handle: RePEc:bla:restud:v:58:y:1991:i:3:p:479-94

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Cited by:
  1. Caiado, Jorge, 2004. "Modelling and forecasting the volatility of the portuguese stock index PSI-20," MPRA Paper 2077, University Library of Munich, Germany.
  2. Cornelis A. Los & Jeyanthi Karuppiah, 2004. "Wavelet Multiresolution Analysis of High-Frequency Asian FX Rates, Summer 1997," Finance 0409037, EconWPA.
  3. Orazio Attanasio & James Banks & Sarah Tanner, 1998. "Asset Holding and Consumption Volatility," NBER Working Papers 6567, National Bureau of Economic Research, Inc.
  4. BRIO, Esther B. & PEROTE, Javier, 2008. "Forecasting Market Crashes: Does Density Specification Matter?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(1), pages 53-58.
  5. Lee, Tae-Hwy, 1995. "Disequilibrium and uncertainty in cointegrated systems: Some empirical evidence," Economics Letters, Elsevier, vol. 49(2), pages 157-161, August.
  6. Olan T. Henry & Nilss Olekalns & Kalvinder Shields, 2004. "Time Variation And Asymmetry In The World Price Of Covariance Risk: The Implications For International Diversification," Department of Economics - Working Papers Series 907, The University of Melbourne.
  7. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, School of Economics and Management, University of Aarhus.
  8. Jeyanthi Karuppiah & Cornelis A. Los, 2000. "Wavelet Multiresolution Analysis of High-Frequency FX Rates, Summer 1997," School of Economics Working Papers 2000-06, University of Adelaide, School of Economics.
  9. ASGHAR, Zahid, 2008. "Energy–Gdp Relationship: A Causal Analysis For The Five Countries Of South Asia," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(1), pages 167-180.
  10. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  11. Jay Shanken & Ane Tamayo, 2001. "Risk, Mispricing, and Asset Allocation: Conditioning on Dividend Yield," NBER Working Papers 8666, National Bureau of Economic Research, Inc.
  12. Shanken, Jay & Tamayo, Ane, 2012. "Payout yield, risk, and mispricing: A Bayesian analysis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 131-152.
  13. David E. Giles & Yanan Li, 2013. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," Econometrics Working Papers 1301, Department of Economics, University of Victoria.

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