Research on Portfolio Construction for the Chinese Stock Market Based on Monte Carlo Simulatio

Authors

  • Jialiang Zhu
  • Tingfei Hong
  • Junrui Liu

DOI:

https://doi.org/10.54097/ehss.v16i.9497

Keywords:

Formatting; style; styling; insert (key words).

Abstract

This paper investigated on the construction of the investment portfolio specifically in the detail of the Chinese stock market. The definition of portfolio was cited from Markowitz, then Monte Carlo simulation was used on top of it. By doing tests and experiments, results were obtained to prove the correctness of the portfolio selection, and the strategical moves of using Stock Index Futures to hedge the risk. Our empirical results indicated that Kwei Chow Moutai accounted for the largest proportion in the portfolio. It was concluded that using SPIF index to hedge the risk was the best investment strategy for the portfolio. The results in this paper shed lights for certain investors in the financial markets, set the foundation of a newer market’s merit, and proved the necessity to invest it.

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References

Harry, M. Portfolio selection. The Journal of Finance 1952, 7, 77-91.

William, S. A simplified model for portfolio analysis. Management Science 1963, 9, 277-293.

Merton, R. An analytical derivation of the efficient frontier. The Journal of Financial and Quantitative Analysis 1972, 7, 1851-1972.

Pogue, G. An extension of the markowitz portfolio selection model to include variable transactions' costs, short sales, leverage policies and taxes. Journal of Finance 1970, 25, 1005-1027.

Black, F & Litterman, R. Global Portfolio Optimization, Financail Analysts Journal 1992, 48, 28-43.

Yoshino, N., Taghizadeh-Hesary, F., & Otsuka, M. Covid-19 and optimal portfolio selection for investment in sustainable development goals. Finance Research Letters 2021, 38, 101695.

Vo, N., He, X., Liu, S., et, al. Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decision Support Systems 2019, 124, 113067.

Lee, T., Cho, J., Kwon, D., et, al. Global stock market investment strategies based on financial network indicators using machine learning tecniques. Expert Systems with Applications 2019, 117, 228-242.

Zhu S., Zhu W., Pei X., Cui, X. Hedging crash risk in optimal portfolio selection. Journal of Banking & Finance 2020, 119, 105905.

Shadabfar, M., Cheng, L. Probabilistic approach for optimal portfolio selection using a hybrid Monte Carlo simulation and Markowitz model. Alexandria Engineering Journal, 59, 3381-3393.

Thakurata, I. Optimal portfolio choice with stock market entry costs and human capital investments: A developing country model. International Review of Economics & Finance 2021, 73, 175-195.

Cesarone, F., Mango, F., Mottura, C. et al., On the stability of portfolio selection models. Journal of Empirical Finance 2020, 59, 210-234.

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Published

02-07-2023