Effectiveness Analysis of Capital Asset Pricing Model Based on Industry Data
- DOI
- 10.2991/978-94-6463-441-9_60How to use a DOI?
- Keywords
- Effectiveness analysis; Capital Asset Pricing Model; CAPM; industry data
- Abstract
Capital asset pricing model is an economic model that has been used to study and solve asset pricing problems in financial theory in recent decades. This model has become the basic model of investment pricing because of its wide applicability and practical value. However, due to the limitations and limitations of the model itself, it continues to be challenged by various practical tests. This paper takes China's real estate industry as the research object, selects ten companies in the real estate sector of the A-share market, and uses single-factor cross-sectional regression and multi-factor cross-sectional regression to verify the effectiveness of the capital asset pricing model. The results show that the CAPM model is not applicable to China's real estate industry. This may be caused by the low degree of information disclosure, the irrational structure of investors, and the irrational equity structure of listed companies.
- Copyright
- © 2024 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 - Yiyi Huang PY - 2024 DA - 2024/06/21 TI - Effectiveness Analysis of Capital Asset Pricing Model Based on Industry Data BT - Proceedings of the 2023 International Conference on Economic Management,Financial Innovation and Public Service (EMFIPS 2023) PB - Atlantis Press SP - 702 EP - 711 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-441-9_60 DO - 10.2991/978-94-6463-441-9_60 ID - Huang2024 ER -