Assets Portfolio Analysis of the Firefighter Case
- DOI
- 10.2991/978-94-6463-052-7_32How to use a DOI?
- Keywords
- Fama-French three factor model; Pension; Portfolio management
- Abstract
Portfolio optimization has a pretty significant position in the financial field. The purpose of this paper is to make the portfolio decision and the asset allocation by using four stocks and a firefighter’s pension that can be viewed as a long-term bond. First this paper aims to do the allocation analysis for the four fields. Then this paper will also discuss the portfolio decision under two different options with and without pension benefits. The data are collected and calculated by using the mean-variance analysis to get the performance of the portfolio. At last, by using the Fama-French three-factor model, the expected returns and Sharpe Ratio are calculated and then do the regression to determine which option is better. The results and the analysis show that, the Fama-French three factor can be more reasonable to do the calculation in the two options, and the ‘GOOGL’ has the largest proportion in the four stocks. Moreover, even though the portfolio expected return of the option without pension is higher, the Sharpe Ratio of the option with pension is higher, which means it is a better choice. These findings might be helpful to the investors related to the similar conditions.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Bohua Miao PY - 2022 DA - 2022/12/27 TI - Assets Portfolio Analysis of the Firefighter Case BT - Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022) PB - Atlantis Press SP - 279 EP - 288 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-052-7_32 DO - 10.2991/978-94-6463-052-7_32 ID - Miao2022 ER -