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A Stock Market Model Based on CAPM and Market Size

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  • Andrey Sarantsev
  • Blessing Ofori-Atta
  • Brandon Flores

Abstract

We introduce a new system of stochastic differential equations which models dependence of market beta and unsystematic risk upon size, measured by market capitalization. We fit our model using size deciles data from Kenneth French's data library. This model is somewhat similar to generalized volatility-stabilized models in (Pal, 2011; Pickova, 2013). The novelty of our work is twofold. First, we take into account the difference between price and total returns (in other words, between market size and wealth processes). Second, we work with actual market data. We study the long-term properties of this system of equations, and reproduce observed linearity of the capital distribution curve. Our model has two modifications: for price returns and for equity premium. Somewhat surprisingly, they exhibit the same fit, with very similar coefficients. In the Appendix, we analyze size-based real-world index funds.

Suggested Citation

  • Andrey Sarantsev & Blessing Ofori-Atta & Brandon Flores, 2019. "A Stock Market Model Based on CAPM and Market Size," Papers 1907.08911, arXiv.org, revised Apr 2021.
    • Handle: RePEc:arx:papers:1907.08911
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    References listed on IDEAS

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    Cited by:

    1. Hu, Debao & Li, Xin & Xiang, George & Zhou, Qiyao, 2023. "Asset pricing models in the presence of higher moments: Theory and evidence from the U.S. and China stock market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

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