Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
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Article Number | 02017 | |
Number of page(s) | 5 | |
Section | New Energy Economy and Energy Blockchain Application | |
DOI | https://doi.org/10.1051/e3sconf/202129202017 | |
Published online | 09 September 2021 |
Research on the Relationship between Trade Volatility, Property Rights and New Energy Stock Returns under the Background of New Energy Industry Development
Shanxi University of Finance and Economics, Faculty of International Trade, Taiyuan, China
* Corresponding author: 3531563257@qq.com
The research on the relationship between risk and return of new energy stocks is the focus of financial research. Related research focuses more on the relationship between idiosyncratic fluctuation risk and stock returns. In the Chinese stock market, some Chinese investors clearly prefer stocks with high risk characteristics, which leads to overvalued stocks. However, the short-selling restrictions in the Chinese stock market and the heterogeneity of investors have also led to a significant negative correlation between idiosyncratic volatility and cross-sectional yield. There are many studies on the relationship between idiosyncratic volatility and stock returns, but no consistent conclusions have been drawn, and there is a lack of relevant research on new energy stocks. Therefore. This paper collates the data of 70 listed companies in the new energy and new energy automobile industry from 2017 to 2019, tracks the stock returns of sample companies for 3 years (36 months), and conducts in-depth research on the relationship between idiosyncratic fluctuation risks and new energy stock returns. To further verify and supplement the risk-return relationship of China's new energy stock market and provide a certain basis for the company's decision-making behaviour.
© 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.
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