Performance Evaluation of New Energy Fund Based on Factor Model
- DOI
- 10.2991/978-94-6463-102-9_114How to use a DOI?
- Keywords
- Factor model; Performance evaluation; Selectivity; Market timing ability
- Abstract
In recent years, China's fund industry has developed rapidly, especially in the new energy sector, which has shown highly promising prospects under the promotion of carbon neutral policies. However, due to the late start of China's fund industry and the paucity of research on fund performance in the new energy industry, the performance evaluation of new energy stock funds is particularly crucial. This paper mainly used the Treynor-Mazuy model and the Sharpe ratio of the fund to evaluate the stock selectivity and timing ability of China's new energy stock fund companies. Then, through factor analysis and principal component analysis, a new evaluation index was created to assess the comprehensive ability of fund managers. This research is intended to aid investors in evaluating and selecting funds, optimizing investment decisions, and promoting the rationalization and standardization of the market for new energy stock fund.
- Copyright
- © 2023 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 - Wenshan Bai AU - Jiayi Chen AU - Yixiao Chu AU - Tianyu Shi PY - 2022 DA - 2022/12/29 TI - Performance Evaluation of New Energy Fund Based on Factor Model BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 1099 EP - 1113 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_114 DO - 10.2991/978-94-6463-102-9_114 ID - Bai2022 ER -