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Asset Allocation

  • Jessica A. Wachter

    ()

    (Department of Finance, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

This review article describes recent literature on asset allocation, covering both static and dynamic models. The article focuses on the bond-stock decision and on the implications of return predictability. In the static setting, investors are assumed to be Bayesian, and the role of various prior beliefs and specifications of the likelihood are explored. In the dynamic setting, recursive utility is assumed, and attention is paid to obtaining analytical results when possible. Results under both full- and limited-information assumptions are discussed.

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File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-financial-073009-104026
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Article provided by Annual Reviews in its journal Annual Review of Financial Economics.

Volume (Year): 2 (2010)
Issue (Month): 1 (December)
Pages: 175-206

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Handle: RePEc:anr:refeco:v:2:y:2010:p:175-206
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  1. Goetzman, W.N. & Jorion, P., 1992. "Testing the Predictive Power of Dividend Yields," Papers 93-03, Columbia - Graduate School of Business.
  2. Jessica Wachter, 2008. "Can time-varying risk of rare disasters explain aggregate stock market volatility?," 2008 Meeting Papers 944, Society for Economic Dynamics.
  3. Campbell, John & Yogo, Motohiro, 2006. "Efficient tests of stock return predictability," Scholarly Articles 3122601, Harvard University Department of Economics.
  4. George Chacko & Luis M. Viceira, 2005. "Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets," Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1369-1402.
  5. Kandel, Shmuel & Stambaugh, Robert F, 1996. " On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June.
  6. Jessica A. Wachter & Missaka Warusawitharana, 2011. "What is the Chance that the Equity Premium Varies over Time? Evidence from Regressions on the Dividend-Price Ratio," NBER Working Papers 17334, National Bureau of Economic Research, Inc.
  7. Jacob Boudoukh & Roni Michaely & Matthew Richardson & Michael Roberts, 2004. "On the Importance of Measuring Payout Yield: Implications for Empirical Asset Pricing," NBER Working Papers 10651, National Bureau of Economic Research, Inc.
  8. Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Society for Financial Studies, vol. 12(2), pages 405-428.
  9. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," NBER Working Papers 14646, National Bureau of Economic Research, Inc.
  10. Uhlig, Harald, 1994. "On Jeffreys Prior when Using the Exact Likelihood Function," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 633-644, August.
  11. John Y. Campbell & Luis M. Viceira, 1996. "Consumption and Portfolio Decisions When Expected Returns are Time Varying," NBER Working Papers 5857, National Bureau of Economic Research, Inc.
  12. John Y. Campbell & George Chacko & Jorge Rodriguez & Luis M. Viciera, 2003. "Strategic Asset Allocation in a Continuous-Time VAR Model," NBER Working Papers 9547, National Bureau of Economic Research, Inc.
  13. Lubos Pastor & Robert F. Stambaugh, 2008. "Predictive Systems: Living with Imperfect Predictors," NBER Working Papers 13804, National Bureau of Economic Research, Inc.
  14. Hui Chen & Nengjiu Ju & Jianjun Miao, . "Dynamic Asset Allocation with Ambiguous Return Predictability," Boston University - Department of Economics - Working Papers Series wp2009-015, Boston University - Department of Economics.
  15. Jessica A. Wachter & Missaka Warusawitharana, 2006. "Predictable returns and asset allocation: Should a skeptical investor time the market?," 2006 Meeting Papers 22, Society for Economic Dynamics.
  16. Michael W. Brandt & Amit Goyal & Pedro Santa-Clara & Jonathan R. Stroud, 2005. "A Simulation Approach to Dynamic Portfolio Choice with an Application to Learning About Return Predictability," Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 831-873.
  17. Wachter, Jessica A., 2002. "Portfolio and Consumption Decisions under Mean-Reverting Returns: An Exact Solution for Complete Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(01), pages 63-91, March.
  18. Amit Goval & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," NBER Working Papers 10483, National Bureau of Economic Research, Inc.
  19. Lubos Pastor & Robert F. Stambaugh, 2009. "Are Stocks Really Less Volatile in the Long Run?," NBER Working Papers 14757, National Bureau of Economic Research, Inc.
  20. Dybvig, Philip H & Rogers, L C G & Back, Kerry, 1999. "Portfolio Turnpikes," Review of Financial Studies, Society for Financial Studies, vol. 12(1), pages 165-195.
  21. Missaka Warusawitharana & Jessica A. Wachter, 2009. "What is the chance that the equity premium varies over time? evidence from predictive regressions," Finance and Economics Discussion Series 2009-26, Board of Governors of the Federal Reserve System (U.S.).
  22. Andrew Ang & Geert Bekaert, 2001. "Stock Return Predictability: Is it There?," NBER Working Papers 8207, National Bureau of Economic Research, Inc.
  23. Balduzzi, Pierluigi & Lynch, Anthony W., 1999. "Transaction costs and predictability: some utility cost calculations," Journal of Financial Economics, Elsevier, vol. 52(1), pages 47-78, April.
  24. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
  25. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
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