E3S Web Conf.
Volume 235, 20212020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|Number of page(s)||5|
|Section||Research on New Energy Technology and Energy Consumption Development|
|Published online||03 February 2021|
Empirical Analysis of Optimal Stock Portfolio under the Background of COVID-19
School of Zhiyuan Shanghai Jiao Tong University Shanghai 200240, China
2 School of International Education Wuhan University of Technology Wuhan, Hubei 430070, China
3 School of Economics and Management Sichuan Normal University, Chengdu, Chengdu, Sichuan 610100, China
* Corresponding author: firstname.lastname@example.org
† These authors contributed equally.
In the present market, there are various kinds of financial products and derivatives designed for customers, the most basic and universal of which are stocks. However, while understanding how much profit and risk that one stock can bring is relatively simple, it is more difficult and trickier to find out a suitable investment portfolio for customers, especially under particular circumstances. Therefore, this paper try to build a model to figure out the portfolio with the highest utility in the crown virus background. The utility is defined based on several theories on customers’ behavior and takes many other factors that may play a crucial role on the extent of customer satisfaction into consideration. To simplify the model and focus on significant financial products, this article comes up with several necessary implications. After numerical computation, the result, a stock portfolio with the highest utility function for a given condition, is presented as an example to show how our model works. Finally, the paper analyzes the result obtained, provides a brief discussion on the pros and cons of our model, and eventually lists our possible future research fields.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.