Further Research in the Chinese Mid-cap Stock Market by Using the Markowitz Model, Capital Asset Pricing Model, and Fama-French Model

Authors

  • Yukun Xu

DOI:

https://doi.org/10.61173/2tfyyx94

Keywords:

Markowitz Model, Capital Asset Pricing Model, Fama-French model, Chinese Mid-cap Stock

Abstract

This article aims to identify the optimal portfolio of 10 mid-cap stocks in the Chinese stock market. Markowitz model is used to analyze the data from January 1, 2024, to July 1, 2024, including 117 trading days in total, and give some advice on portfolio selection. Markowitz’s model uses “Solver” in Excel to generate different portfolios and gets the optimal portfolio when the Sharpe ratio becomes the largest. In the Capital Asset Pricing Model (CAPM) and the Fama-French model, they can judge whether the stock is worth investing by the result given by linear regression in Excel. It turns out that the optimal portfolio of Markowitz has a Sharpe ratio of 2.14. Although the CAPM and Fama-French Model don’t give an exact percentage of each stock, they can take more conditions and factors into consideration to give a better judgment of the amount of the profit of each certain stock. The research fulfills the blank of using these models in the Chinese mid-cap stock market finding some supporting ideas from CAPM and Fama-French Model.

References

[1] Investor Data-CSDC. (n.d.). Retrieved from http://www. chinaclear.cn/zdjs/tjyb2/center_scsj_tjyb.shtml

[2] Market Monthly Overview. (n.d.). Retrieved from https:// www.sse.com.cn/market/stockdata/overview/monthly/

[3] Market Overview. (n.d.). Retrieved from https://www.szse. cn/English/siteMarketData/marketStatistics/overview/index.html

[4] Guerard J B, Markowitz H, Xu G. Global stock selection modeling and efficient portfolio construction and management. Journal of Investing, 2013, 22(4): 121-128.

[5] Situmorang R E, Maruddani D A I, Santoso R. Formation of stock portfolio using Markowitz method and measurement of Value at Risk based on generalized extreme value (Case study: company’s stock The IDX Top Ten Blue 2017, Period 2 January - 29 December 2017). Journal of Physics: Conference Series, 2019, 1217 (1).

[6] Mallieswari R, Palanisamy V, Senthilnathan A T, Gurumurthy S, Joshua Selvakumar J, Pachiyappan S. A stochastic method for optimizing portfolios using a combined Monte Carlo and Markowitz model: Approach on Python. Economics: The Open- Access, Open-Assessment e-Journal, 2024

[7] Bai L, Liu Y, Wang Q, Chen C. Improving portfolio performance of renewable energy stocks using robust portfolio approach: Evidence from China. Physica A, 2019, 533, 122059.

[8] Liu T. An empirical analysis of the impact of financial conditions of listed companies on stock prices in China, Southwestern University of Finance Economics, 2014.

[9] Wakyiku D. Testing the Capital Asset Pricing Model (CAPM) on the Uganda Stock Exchange. Quantitative Finance, 2010.

[10] Mistry J, Khatwani R A. Examining the superiority of the Sharpe single-index model of portfolio selection: A study of the Indian mid-cap sector. Humanities and Social Sciences Communications, 2023, 10(1):178.

[11] Nghiem L. Risk-return relationship: An empirical study of different statistical methods for estimating the Capital Asset Pricing Models (CAPM) and the Fama-French model for large cap stocks. Quantitative Finance, 2015.

[12] Asia Pacific Market-free risk and Fama-French 3 factors. (n.d) Retrieved from https://mba.tuck.dartmouth.edu/pages/ faculty/ken.french/data_library.html

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Published

2024-10-29