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The Heterogeneous Investment Horizon and the Capital Asset Pricing Model: Theory and Implications

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  • Lee, Cheng F.
  • Wu, Chunchi
  • Wei, K. C. John

Abstract

This paper generalizes the risk-return relationship implied by the traditional capital asset pricing model with finite investment horizons. It examines the effect of heterogeneous investment horizons on the functional form of capital asset pricing and proposes a translog model for estimating the risk-return relationship. In addition, this paper contends that some empirical findings that are inconsistent with the traditional CAPM have resulted from misspecification of the CAPM by ignoring the discrepancy between the observed data periods and the true investment horizons. Finally, the paper shows that under various conditions, the translog model is a suitable function for estimating the relationship between risk and expected returns.

Suggested Citation

  • Lee, Cheng F. & Wu, Chunchi & Wei, K. C. John, 1990. "The Heterogeneous Investment Horizon and the Capital Asset Pricing Model: Theory and Implications," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 361-376, September.
    • Handle: RePEc:cup:jfinqa:v:25:y:1990:i:03:p:361-376_00
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    1. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    2. Gryglewicz, Sebastian & Huisman, Kuno J.M. & Kort, Peter M., 2008. "Finite project life and uncertainty effects on investment," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2191-2213, July.
    3. Kathleen Walsh, 2015. "The investment horizon and asset pricing models," Australian Journal of Management, Australian School of Business, vol. 40(2), pages 277-294, May.
    4. Liu, Jingzhen, 2019. "Impacts of lagged returns on the risk-return relationship of Chinese aggregate stock market: Evidence from different data frequencies," Research in International Business and Finance, Elsevier, vol. 48(C), pages 243-257.
    5. Jozef Barunik & Josef Kurka, 2021. "Risks of heterogeneously persistent higher moments," Papers 2104.04264, arXiv.org, revised Mar 2024.
    6. Chen, Andrew N.K. & Wang, Shin-Yun & Yu, Po-Lung, 2014. "Evaluating multi-criteria ratings of financial investment options," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 46-58.
    7. Huang, Roger D. & Jo, Hoje, 1995. "Data frequency and the number of factors in stock returns," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 987-1003, September.
    8. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    9. Heping XIONG & Jingming ZHOU, 2013. "On Tobin's Multiperiod Portfolio Theorem," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 199-208, October.
    10. Yi-Cheng Shih & Sheng-Syan Chen & Cheng-Few Lee & Po-Jung Chen, 2014. "The evolution of capital asset pricing models," Review of Quantitative Finance and Accounting, Springer, vol. 42(3), pages 415-448, April.
    11. In, Francis & Kim, Sangbae & Gençay, Ramazan, 2011. "Investment horizon effect on asset allocation between value and growth strategies," Economic Modelling, Elsevier, vol. 28(4), pages 1489-1497, July.
    12. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, September.
    13. Anindya Chakrabarty & Anupam De & Gautam Bandyopadhyay, 2016. "Horizon heterogeneity, institutional constraint and managerial myopia: a multi-frequency perspective on ELSS," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 9(1), pages 18-47.
    14. Cheng Few Lee, 2020. "Financial econometrics, mathematics, statistics, and financial technology: an overall view," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1529-1578, May.

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