Author:
Jaffar Sadiq Abdullah Muhammad,Ishak Norizarina
Abstract
In this chapter, Markowitz mean-variance approach is proposed for examining the best portfolio diversification strategy within three subperiods which are during the global financial crisis (GFC), post-global financial crisis, and during the non-crisis period. In our approach, we used 10 securities from five different industries to represent a risk-mitigation parameter. In this way, the naive diversification strategy is used to serve as a comparison for the approach used. During the computation process, the correlation matrices revealed that the portfolio risk is not well diversified during non-crisis periods, meanwhile, the variance-covariance matrices indicated that volatility can be minimized during portfolio construction. On this basis, 10 efficient portfolios were constructed and the optimal portfolios were selected in each subperiods based on the risk-averse preference. Performance-wise that optimal portfolio dominated the naïve strategy throughout the three subperiods tested. All the optimal portfolios selected are yielding more returns compared to the naïve portfolio.
Reference16 articles.
1. Kulali I. Portfolio optimization analysis with Markowitz quadratic mean-variance model. European Journal of Business and Management. 2016;8(7):73-79
2. Shukla V. Top 10 Largest Stock Exchanges in the World by Market Capitalization. Valuewalk [Internet]. 2019. Available from: https://www.valuewalk.com/2019/02/top-10-largest-stock-exchanges/
3. Shalit H, Yitzhaki S. The mean-Gini efficient portfolio frontier. Journal of Financial Research. 2005;28(1):59-75
4. Baumöhl E, Lyócsa Š. Constructing weekly returns based on daily stock market data: A puzzle for empirical research? In: MPRA Paper 43431. Germany: University Library of Munich; 2012
5. Brown SJ, Hwang I, In F. Why optimal diversification cannot outperform naive diversification: Evidence from tail risk exposure. SSRN Electronic Journal. 2013:1-55. DOI: 10.2139/ssrn.2242694