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A Bayesian analysis of a variance decomposition for stock returns

  • Hollifield, Burton
  • Koop, Gary
  • Li, Kai

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File URL: http://www.sciencedirect.com/science/article/B6VFG-48HY3F2-1/2/5ce85281029708a3e0cd820947689a2d
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Article provided by Elsevier in its journal Journal of Empirical Finance.

Volume (Year): 10 (2003)
Issue (Month): 5 (December)
Pages: 583-601

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Handle: RePEc:eee:empfin:v:10:y:2003:i:5:p:583-601
Contact details of provider: Web page: http://www.elsevier.com/locate/jempfin

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  1. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, 02.
  2. Luboš Pástor & Robert F. Stambaugh, 1999. "Comparing Asset Pricing Models: An Investment Perspective," CRSP working papers 497, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  3. Lubos Pástor & Robert F. Stambaugh, . "Costs of Equity Capital and Model Mispricing," Rodney L. White Center for Financial Research Working Papers 04-98, Wharton School Rodney L. White Center for Financial Research.
  4. Campbell, J.Y. & Ammer, J., 1991. "What Moves The Stock And Bond Markets? A Variance Decomposition For Long- Term Asset Returns," Papers 127, Princeton, Department of Economics - Financial Research Center.
  5. Ammer, John & Mei, Jianping, 1996. " Measuring International Economic Linkages with Stock Market Data," Journal of Finance, American Finance Association, vol. 51(5), pages 1743-63, December.
  6. Owen Lamont, . "Earnings and Expected Returns," CRSP working papers 345, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  7. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-86.
  8. Kandel, S. & McCulloch, R. & Stambaugh, R.F., 1991. "Bayesian Inference and Portfolio Efficiency," Weiss Center Working Papers 8-91, Wharton School - Weiss Center for International Financial Research.
  9. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
  10. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454, October.
  11. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-79, March.
  12. Lamoureux, Christopher G & Zhou, Guofu, 1996. "Temporary Components of Stock Returns: What Do the Data Tell Us?," Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1033-59.
  13. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
  14. Lubo Pástor, . "Portfolio Selection and Asset Pricing Models," CRSP working papers 356, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  15. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  16. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
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