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Estimation and Test of a Simple Model of Intertemporal Capital Asset Pricing

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  • Brennan, Michael
  • Wang, Ashley W
  • Xia, Yihong

Abstract

A simple valuation model that allows for time variation in investment opportunities is developed and estimated. The model assumes that the investment opportunity set is completely described by two state variables, the real interest rate and the maximum Sharpe ratio, which follow correlated Ornstein- Uhlenbeck processes. The model parameters and time series of the state variables are estimated using data on US Treasury bond yields and expected in- flation for the period January 1952 to December 2000, and, as predicted, the estimated maximum Sharpe ratio is shown to be related to the equity premium. In cross-sectional asset pricing tests using the 25 Fama-French size and book-to-market portfolios, both state variables are found to have significant risk premia, which is consistent with the ICAPM of Merton (1973). In contrast to the CAPM and the Fama-French 3-factor model, the simple ICAPM is not rejected by cross-sectional tests using the 25 Fama-French size and B/M sorted portfolios. Returns on the 30 industrial portfolios do not discriminate clearly between the three models. When both sets of portfolios are included as test assets all three models are rejected, but the estimated risk premia for both ICAPM state variables are significant while those associated with the Fama-French arbitrage portfolios are insignificant.

Suggested Citation

  • Brennan, Michael & Wang, Ashley W & Xia, Yihong, 2003. "Estimation and Test of a Simple Model of Intertemporal Capital Asset Pricing," University of California at Los Angeles, Anderson Graduate School of Management qt20r0j5t8, Anderson Graduate School of Management, UCLA.
  • Handle: RePEc:cdl:anderf:qt20r0j5t8
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    Cited by:

    1. Brennan, Michael J. & Xia, Yihong, 2004. "International Capital Markets and Foreign Exchange Risk," University of California at Los Angeles, Anderson Graduate School of Management qt53z0s29k, Anderson Graduate School of Management, UCLA.
    2. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    3. Tobias Adrian & Erkko Etula, 2010. "Funding liquidity risk and the cross-section of stock returns," Staff Reports 464, Federal Reserve Bank of New York.
    4. Franke, Günter & Lüders, Erik, 2006. "Return predictability and stock market crashes in a simple rational expectation models," CoFE Discussion Papers 06/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    5. Mele, Antonio, 2004. "General properties of rational stock-market fluctuations," LSE Research Online Documents on Economics 24701, London School of Economics and Political Science, LSE Library.
    6. Martin Lettau & Jessica A. Wachter, 2007. "Why Is Long‐Horizon Equity Less Risky? A Duration‐Based Explanation of the Value Premium," Journal of Finance, American Finance Association, vol. 62(1), pages 55-92, February.
    7. Lüders, Erik & Franke, Günter, 2005. "Return predictability and stock market crashes in a simple rational expectations model," CoFE Discussion Papers 05/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    8. Franke, Günter & Lüders, Erik, 2004. "Why Do Asset Prices Not Follow Random Walks?," CoFE Discussion Papers 04/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    9. Munk, Claus & Sorensen, Carsten & Nygaard Vinther, Tina, 2004. "Dynamic asset allocation under mean-reverting returns, stochastic interest rates, and inflation uncertainty: Are popular recommendations consistent with rational behavior?," International Review of Economics & Finance, Elsevier, vol. 13(2), pages 141-166.

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