Portfolio Analysis for the Retired Population

Authors

  • Shuyun Zhang

DOI:

https://doi.org/10.54691/bcpbm.v35i.3373

Keywords:

Retirees; Sharpe Ratio; best Portfolio.

Abstract

Based on the realistic needs of retirees, this paper examines the optimal investment portfolio through diversification. Allows retirees to maximize their returns while taking less risk. Stocks include technology, real estate, biopharmaceuticals, education and other industries. In this study, monthly closing prices from October 2017 to October 2020 were selected as data, and the mean-variance model, CAPM model, and FF3F model were used to calculate the maximum Sharpe ratio and the percentage of each stock, respectively. In the mean-variance model, the maximum Sharpe ratio is about 0.35, of which Vanke accounts for 0 and AAPL accounts for the largest share, about 0.5; in the CAPM model, the maximum Sharpe ratio is about 0.11, of which Heng Rui-like accounts for 0 and CSL accounts for the largest share, about 0.353; in the FF3F model, the maximum Sharpe ratio is about 0.11, of which Heng Rui-like accounts for 0 and CSL accounted for the largest ratio of about 0.45. Meanwhile, this paper calculates the covariance and correlation coefficient between each asset. The correlation coefficient of each asset is obtained close to 0, and the correlation degree is low. Heng Rui Pharma is negatively correlated with Vanke, then this use is that the inclusion of AB in the portfolio at the same time will reduce the risk of the portfolio.

Downloads

Download data is not yet available.

References

Mu G. Z. Global demographic trends and their impact on world politics. Contemporary World and Socialism, 2012, (04): 109 - 118.

Wang Y., Wang C.Y., Liu S. Optimal investment strategy for hybrid pensions under default risk. Journal of Anhui University of Engineering, 2022, 37 (04): 84 - 94.

Wang X. N. Analysis of market competition and steady development of individual pensions. Economic Research Reference, 2022, (08): 71 - 79.

Juan F. J., Juan A.R., Sergio P.Modelling the impact of aging on social security expenditures. Economic modelling, 2007, 25 (2): 201 - 224.

Borger M. Deterministic shock vs stochastic value-at-risk: an analysis of the solvency Ⅱ standard model approach to longevity risk. Blatter der DGVFM, 2010, 31 (2): 225 - 259.

Wang Y. Adjustment and review of U.S. corporate annuity policies under the impact of the new crown epidemic. Modern Business, 2022, (26): 86 - 90.

Liu H. S. The gains and losses of financial services for the elderly in developed countries. People's Forum, 2022, (09): 112 - 115.

Ma S. Mean-variance model theory and its application in China's stock market. Wealth Times, 2022, (01): 148 - 150.

Linter J. The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics, 1965, 47: 17 - 37.

Liao T. T. Applicability test and application of Fama-French four-factor model for A-share returns. Chongqing Industrial and Commercial University, 2022.

Wan Y. P. Research on the impact of investor sentiment on stock returns. Peking University, 2022.

Downloads

Published

2022-12-31

How to Cite

Zhang, S. (2022). Portfolio Analysis for the Retired Population. BCP Business & Management, 35, 701-708. https://doi.org/10.54691/bcpbm.v35i.3373