Journal Press India^®

Author Details ( * ) denotes Corresponding author

The article aims to find out the opportunity for investors to reduce the risk of their portfolio by diversifying their investment in Japan’s stock market. In this regard, fifteen securities from Tokyo Stock Exchange (TSE) have been selected from 2016-2021. To conduct the research, a selection of the most integrated portfolio has been proposed in this paper. In terms of statistics, co-variance, correlation, expected return, risk and Sharpe ratio of these securities, across different portfolios are evaluated and the optimum one is selected, which ultimately maximizes the returns for investors and minimizes the risk of their portfolio. The results indicate that the optimum portfolio gives the highest expected return of 31.97 with taking the minimum risk of 15.61, along with the highest Sharpe ratio of 2.04. So, a rational investor should invest his money in such a portfolio to avail the benefits of global portfolio diversification.

Keywords

Tokyo stock exchange; Modern portfolio theory; Portfolio diversification; Efficient frontier; CML

1. Basak, S., & Shapiro, A. (2001), Value-at-risk based risk management: Optimal policies and asset prices. Review of Financial Studies, 14(2), 371-405.
2. Bawa, V. S., & Lindenberg, E. B. (1977). Capital market equilibrium in a mean-lower partial moment framework. Journal of Financial Economics, 5(2), 189-200.
3. Calvo, C., Ivorra, C., & Liern, V. (2018). Controlling risk through diversification in portfolio selection with non-historical information. Journal of the Operational Research Society, 69(10), 1543-1548.
4. Del Guercioa, D., Genc, E., & Tran, H. (2018). Playing favorites: Conflicts of interest in mutual fund management. Journal of Financial Economics, 128(3), 535-557.
5. Grinblatt, M., & Saxena, K. (2018). When factors do not span their basis portfolios. Journal of Financial and Quantitative Analysis, 53(6), 2335-2354.
6. Hooda, D.S. and  M. Stehlik. (2011), Portfolio Analysis of Investments in Risk Management. Open Statistics and Probability Journal, 3, 21-26.
7. Kalayci, C. B., Ertenlice, O., & Akbay, M. A. (2019). A comprehensive review of deterministic models and applications for mean-variance portfolio optimization. Expert Systems with Applications, 125(1), 345-368.
8. Lester, A. (2019). On the theory and practice of multifactor portfolio. The Journal of Portfolio Management Quantitative, 45(3), 87-100.
9. Maheshwari, A., & Sarantsev, A. (2018). Modeling financial system with interbank flows. Borrowing, and Investing, Risks, 6(4), 131.
10. Mandelbrot, B. (2004). The (Mis) behavior of markets. New York: Basic Books.
11. Markowitz, H. (1952). Portfolio selection. Journal of Finance, 6(1), 77–91.
12. Post, T., Karabatı, S., & Arvanitis, S. (2018). Portfolio optimization based on stochastic dominance and empirical likelihood. Journal of Econometrics, 206(1), 167-186.
13. Rockafellar, R., & Uryasev, S. (2002). Conditional value-at-risk for general loss distributions. Journal of Banking & Finance, 26(7), 1443-1471.
14. Roy, A. D. (1952). Safety first and the holding of assets. Econometrica: Journal of the Econometric Society, 20(3), 431-449.
15. Sah, S., Kundu, A., & Goyal, A. K., (2021). Analysis of portfolio selection model in Indian stock market. MUDRA: Journal of Finance and Accounting, 8(2), 57-78.
16. Sah, S., Kundu, A., & Goyal, A. K., (2022). Modern portfolio theory & optimal portfolio using stocks over the period 2016-2021 under BSE – A statistical approach using excel solver. Towards Excellence, 14(Special Issue 1), 106-121.
17. Sharpe, W. F. (1966). Mutual fund performance. Journal of Business, 39(1), 119–138.
18. Tobin, J. (1958). Liquidity preference as behavior towards risk. Review of Economic Studies, 25(2), 65-86.
19. Uhl, M. W., & Rohner, P. (2018). The compensation portfolio. Finance Research Letters, 27(C), 60-64.