Investment Analysis of the Logistics Industry

Zhichen Jian; Zhan Jin; Yuning Liu; Xinyan Nie

doi:10.54691/bcpbm.v30i.2572

Authors

Zhichen Jian
Zhan Jin
Yuning Liu
Xinyan Nie

DOI:

https://doi.org/10.54691/bcpbm.v30i.2572

Keywords:

Covid-19; Logistics industry; Investment portfolio.

Abstract

After Covid-19, the American stock market experienced a big impact. This paper mainly focuses on the consequent influence on the logistics industry in US and the investment portfolio on them. This paper also aims to compare the average return, standard deviation and sharp ratio of two classic investment portfolio models: the Markowitz model and the Index model in logistics industry in US before and after covid-19. Through analyzing the data of 10 logistics industry stocks in America and the data of Standard Poor 500 as a reference from 2019 to 2021 using these two models, it is found that the average return was much higher with a corresponding higher standard deviation after covid-19, disregard of the investment models on the portfolio. It is also found that the Markowitz model had a better overall performance (smaller standard deviation and higher sharp ratio) than the Index model (although they always had the same average return), disregard of the impact of the pandemic.

Downloads

Download data is not yet available.

References

Asli, Demirgüç-Kunt, Vojislav, & Maksimovic. (1996). Stock market development and financing choices of firms. World Bank Econ Rev.

Kale, P., Dyer, J. H., & Singh, H.. (2002). Alliance capability, stock market response, and long-term alliance success: the role of the alliance function. Cobbett Press.

Cooper, M. C., Lambert, D. M., & Pagh, J. D.. (1997). Supply chain management: more than a new name for logistics. International Journal of Logistics Management, 8(1), 1-14.

Wachter, J. A.. (2013). Can time-varying risk of rare disasters explain aggregate stock market volatility?. Journal of Finance, 68(3), 987-1035.

Campbell, J. Y., & Shiller, R. J.. (1998). Valuation ratios and the long-run stock market outlook: an update. Nber Working Papers, 24(2), 11--26.

Stasys, G., & Dalia, S.. (2008). Logistic growth models for analysis of stocks markets bubbles. Lecture Notes in Engineering & Computer Science, 2171(1), 346-362.

Mentzer, J. T., Myers, M. B., & Cheung, M. S.. (2004). Global market segmentation for logistics services. Industrial Marketing Management, 33(1), 15-20.

Wang, W.. (2016). Reflections in the field of logistics safety stock based. Applied Science, 6(6), 4.

Francis, & Robert, C.. (1974). Relationship of fishing mortality to natural mortality at the level of maximum sustainable yield under the logistic stock production model. Journal of the Fisheries Research Board of Canada, 31(9), 1539-1542.

Zhao, Q., & Wang, C.. (2011). Computer simulation of logistics stock management. Journal of Taiyuan University.