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The ICAPM and empirical pricing factors: A simulation study

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  • Kwon, Ji Ho
  • Sohn, Bumjean

Abstract

Many papers reporting new empirically-motivated pricing factors argue that the factors are based on the intertemporal capital asset pricing model (ICAPM) of Merton (1973). In the spirit of Fama’s (1991) fishing license critique, Maio and Santa-Clara (2012) and Park and Sohn (2023) propose ways to test whether the pricing factors are consistent with the ICAPM. Unspecified, and thus unknown, state variables and conditional model features in the ICAPM complicate the empirical work; therefore, we conduct a simulation study that checks these methodologies in two different settings: the time-varying price of risk and time-varying betas. The method in Park and Sohn (2023), which nests that in Maio and Santa-Clara (2012) as a special case, does a great job in both settings.

Suggested Citation

  • Kwon, Ji Ho & Sohn, Bumjean, 2024. "The ICAPM and empirical pricing factors: A simulation study," Finance Research Letters, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323012084
    DOI: 10.1016/j.frl.2023.104836
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    References listed on IDEAS

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    1. Ang, Andrew & Liu, Jun & Schwarz, Krista, 2020. "Using Stocks or Portfolios in Tests of Factor Models," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(3), pages 709-750, May.
    2. repec:bla:jfinan:v:59:y:2004:i:4:p:1743-1776 is not listed on IDEAS
    3. Lars Nielsen & Maria Vassalou, 2006. "The instantaneous capital market line," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 28(3), pages 651-664, August.
    4. Andreou, Elena & Ghysels, Eric & Kourtellos, Andros, 2010. "Regression models with mixed sampling frequencies," Journal of Econometrics, Elsevier, vol. 158(2), pages 246-261, October.
    5. Campbell, John Y, 1993. "Intertemporal Asset Pricing without Consumption Data," American Economic Review, American Economic Association, vol. 83(3), pages 487-512, June.
    6. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    7. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    8. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2006. "Predicting volatility: getting the most out of return data sampled at different frequencies," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 59-95.
    9. Martin Lettau & Sydney Ludvigson, 2001. "Resurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia Are Time-Varying," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1238-1287, December.
    10. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
    11. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2005. "There is a risk-return trade-off after all," Journal of Financial Economics, Elsevier, vol. 76(3), pages 509-548, June.
    12. Maio, Paulo & Santa-Clara, Pedro, 2012. "Multifactor models and their consistency with the ICAPM," Journal of Financial Economics, Elsevier, vol. 106(3), pages 586-613.
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    Keywords

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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