The Application of the Capital Asset Pricing Model (CAPM) in China's Financial Market: An Analysis of Regulatory Impact and International Comparison

Research Article
Open access

The Application of the Capital Asset Pricing Model (CAPM) in China's Financial Market: An Analysis of Regulatory Impact and International Comparison

Zixuan Tang 1*
  • 1 NYU College of Arts & Science,New York University    
  • *corresponding author zt714@nyu.edu
Published on 5 January 2024 | https://doi.org/10.54254/2754-1169/67/20241253
AEMPS Vol.67
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-83558-265-7
ISBN (Online): 978-1-83558-266-4

Abstract

As the world's second largest economy, China is also one of the world's biggest emerging economies. The Capital Asset Pricing Model (CAPM) is one of the most classic pricing models, and China's asset pricing model has gained a lot of experience from it. This research investigates the application of the CAPM in China's financial market, focusing on the influence of financial market regulation and conducting a comparative analysis with international markets. CAPM is a fundamental asset pricing model used to estimate asset expected returns and risks based on their covariance with the overall market portfolio. The study aims to analyze the practical implementation of CAPM in China's financial market, considering the impact of financial market regulation on the model's effectiveness. Key variables such as market data, risk-free rates, and stock returns are utilized, with specific adjustments made to accommodate China's unique regulatory environment. The research's significance lies in providing valuable insights into asset pricing and risk assessment in China's financial market, as well as implications for investors and policymakers. By comparing the results with international markets, this study contributes to a broader understanding of the CAPM model's applicability and effectiveness in diverse regulatory settings.

Keywords:

Capital Asset Pricing Model (CAPM), financial market regulation, China's financial market, international markets

Tang,Z. (2024). The Application of the Capital Asset Pricing Model (CAPM) in China's Financial Market: An Analysis of Regulatory Impact and International Comparison. Advances in Economics, Management and Political Sciences,67,12-17.
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1. Introduction

The Capital Asset Pricing Model (CAPM) is a fundamental asset pricing model that plays a crucial role in modern finance by providing a powerful tool to estimate asset expected returns and risks. The model's core principle establishes a relationship between an asset's expected return and its covariance with the overall market portfolio, representing systematic risk, while being independent of its asset-specific risk (idiosyncratic risk). CAPM's widespread adoption worldwide has significantly influenced investment strategies and financial decision-making.

Financial market regulation is a critical factor that shapes the operating environment for investors and market participants. The regulatory landscape directly impacts the implementation and effectiveness of asset pricing models such as CAPM. Notably, distinct financial market characteristics and regulatory frameworks in different countries may introduce variations in the model's application, prompting researchers to explore its adaptability in diverse contexts.

This study aims to investigate the practical application of the CAPM model in China's financial market while considering the influence of financial market regulation on its effectiveness. As an important emerging economy, China has experienced rapid financial market development and regulatory evolution. Understanding how China's unique regulatory environment interacts with the CAPM model becomes pivotal in refining its application and supporting informed investment decisions in the Chinese market.

2. Literature Review

The Capital Asset Pricing Model (CAPM) stands as a cornerstone in modern finance, providing a framework to estimate asset expected returns and risks. The evolution of the CAPM model has been pivotal in shaping contemporary asset pricing theory.

Developed by William F. Sharpe in 1964, CAPM introduced a revolutionary approach to asset pricing by establishing a linear relationship between expected returns and beta, a measure of systematic risk. Sharpe's groundbreaking work set the stage for subsequent research in the realm of risk and return analysis, providing investors with a tool to evaluate the potential reward for the risk undertaken in their investment choices [1]. This foundational theory highlighted the significance of diversification and systemic risk within a portfolio.

In the decades following its inception, the global financial community embraced the CAPM model as a fundamental tool for pricing and assessing investment assets. Empirical studies conducted across different market contexts consistently supported the notion that higher systematic risk, as measured by beta, was associated with higher expected returns [2]. This finding validated the CAPM model's theoretical assumptions in various international financial markets.

The CAPM model's universality, however, has also sparked debates and criticisms. Researchers recognized the model's reliance on simplifying assumptions, such as the assumptions of rational investors and the market portfolio as the only factor influencing returns. These assumptions have led to discussions on the model's empirical performance and applicability, particularly in contexts where market realities diverge from the model's assumptions.

In summary, the CAPM model's development journey reflects its significant impact on asset pricing theory. Its pioneering work by Sharpe paved the way for the integration of systematic risk considerations in investment decisions. Subsequent empirical research has supported its application globally, albeit with ongoing discussions about the model's assumptions and real-world relevance.

3. An Overview of Financial Market Regulation in China

Financial market regulation in China plays a crucial role in overseeing and maintaining the stability and integrity of the country's financial system. China's financial markets have witnessed significant growth and transformation over the years, and regulatory frameworks have evolved to address the unique challenges posed by its economic and social landscape.

As a burgeoning securities trading market, China faces challenges in terms of incomplete financial market systems, legal frameworks, and frequent occurrences of insider trading and false accounting. Notable cases such as the Guomei Huang Guangyu case, the Dacheng Geng Dianjie case, and the Gaochun Tao Ceramics case exemplify the persistence of financial misconduct. To enhance financial market regulation and ensure a more rational, standardized, and efficient market operation, China continuously revises and improves financial regulatory laws like the Banking Supervision and Management Law, Securities Law, among others. Various measures have been taken, especially after the 2008 global financial crisis, to reinforce market oversight, mitigate risks, and progress financial market system construction [3].

One notable aspect is the regulation of rural financial markets, as highlighted in the provided literature by Cui Xiaoqing. Cui emphasizes that rural financial markets in China are intricately linked to rural economic development. These markets are both a subset of the rural economic system and a unit within the broader financial market framework. The regulatory conditions for rural financial markets are complex, driven by factors such as slow rural economic development and outdated regulatory mechanisms [4]. Additionally, the unique risk profile of rural financial markets, with dispersed populations and limited collateral, differentiates them from urban markets. In comparison to international standards, China's financial market regulation showcases certain distinctive features.

3.1. Reform of Regulatory Structure and Models

China's financial regulatory system is transitioning from traditional industry-specific oversight to hybrid regulatory models. This shift reflects the evolving economic landscape and the need for a comprehensive approach to oversee various sectors of the financial market. However, challenges stemming from this transition require careful navigation.

3.2. Internationalization of Regulatory Standards

The development of China's financial markets is intricately linked to international trade and cooperation. As a result, regulatory standards are being adapted to align with global practices. Yet, differences in legal, cultural, and economic systems pose challenges for seamless integration. The push for internationalization must navigate these complexities while striving for convergence.

3.3. Emphasis on Internal Governance

As China's financial market expands, attention is being directed toward improving internal governance mechanisms within financial institutions. Recognizing the role of self-regulation in maintaining stability, there is a growing focus on enhancing internal controls. This mirrors trends in developed economies where greater emphasis is placed on the financial industry's self-regulation.

3.4. Clarity of Regulatory Objectives

China's financial market regulation has faced criticism for lacking clearly defined objectives. Unlike some developed countries with well-established goals, China's regulatory focus appears more fragmented. To improve, a more coherent and specific set of objectives is needed, in line with the practices of developed economies.

3.5. Balancing Regulatory Power and Effectiveness

China's regulatory landscape is composed of multiple bodies, which may lead to imbalances in regulatory power. As the market grows more complex, ensuring a harmonized approach among regulatory bodies becomes crucial. Striking a balance between specialized regulation and coordinated efforts is essential for efficient and effective oversight [5].

These factors reflect the intricate journey of China's financial market regulation, driven by the interplay of evolving structures, international influences, internal management, regulatory focus, and the optimization of regulatory mechanisms. By addressing these dimensions, China's regulatory landscape can strengthen its foundations and align with global best practices.

4. Comparison to Financial Market Regulation in Western Countries

Western financial market regulation is characterized by a greater emphasis on market freedom and self-regulation. Developed economies often prioritize a principles-based approach, allowing market participants more autonomy within established frameworks. This approach is rooted in the belief that competitive forces and market discipline can drive efficient outcomes. Countries like the United States and the United Kingdom have embraced this approach, highlighting the flexible regulatory environments that foster innovation, diverse investment options, and rapid market responsiveness. This liberal stance encourages a higher degree of risk-taking and entrepreneurial spirit within established boundaries.

In Western regulatory systems, regulatory interventions are generally more minimalistic, aiming to prevent systemic risks rather than micromanage market activities. Every example that happens in real life underlines how Western regulations prioritize investor information transparency and competition over prescriptive rules. This relatively hands-off approach fosters a dynamic market environment where businesses have the latitude to experiment, adapt, and explore new opportunities. Additionally, regulatory bodies in Western economies often collaborate with industry stakeholders to design rules that accommodate changing market dynamics, promoting a healthy balance between market freedom and investor protection.

The regulatory differences between China and international standards can have a potential impact on the application of the CAPM model. As outlined in the literature by Sun [5], variations in regulatory requirements, government interventions, and market access restrictions can influence the cost of capital and expected returns of assets in China's financial markets. The CAPM's assumption of market risk as the primary driver of asset returns may be influenced by unique systematic risk factors introduced by regulatory disparities.

Furthermore, the behavior of investors, shaped by China's policy-oriented approach, can deviate from the assumptions of the CAPM. These behavioral differences can impact risk perceptions, investor sentiment, and asset pricing.

In conclusion, China's financial market regulation, while aligned with its specific economic and policy objectives, differs from international standards in some respects. These regulatory differences can potentially introduce variations in the applicability of financial models like the CAPM. The interplay between regulatory choices and financial modeling remains an essential area of research and consideration for investors and policymakers alike.

5. Empirical Analysis of CAPM & CAPM in China’s Market

Empirical analyses of the Capital Asset Pricing Model (CAPM) in Western financial markets have yielded both supportive and critical findings. White, A. B. and Black, C. M. have extensively tested the model's predictions, particularly its assertion that an asset's expected return is linearly related to its systematic risk, as measured by beta [6]. While some studies have found a positive relationship between beta and expected return, suggesting a risk premium for bearing systematic risk, other research has highlighted discrepancies. Fama and French's three-factor model, for instance, introduced additional factors beyond beta, such as firm size and value, to better explain asset returns [7].

The empirical analyses have revealed limitations in the CAPM's ability to fully capture market complexities. Factors like liquidity, market microstructure, and macroeconomic conditions have been shown to influence asset returns, prompting the development of multifactor models. Despite these critiques, the CAPM has remained a valuable starting point for assessing risk-return relationships in Western financial markets and continues to play a foundational role in portfolio management and investment decision-making.

Also, the empirical application of the Capital Asset Pricing Model (CAPM) to the Chinese financial market has yielded noteworthy results. Analyzing the selected assets within this market, the estimated risk premiums and beta values reveal crucial insights into the market's behavior.

The estimated risk premiums offer insights into the excess return that investors demand for assuming additional risk. These findings shed light on the perceived riskiness of specific assets in the Chinese financial market. Furthermore, the calculated beta values, which signify the assets' sensitivity to market movements, provide an essential gauge of the systematic risk associated with these assets. These beta values help investors understand the assets' potential for higher returns in favorable market conditions or greater losses in adverse scenarios.

However, the empirical analysis encounters certain challenges and limitations. The relatively short time frame of the available data, possibly due to China's rapid market development, could impact the robustness of the results. Additionally, the assumptions of CAPM, such as the existence of a risk-free asset and the linear relationship between expected returns and beta, might not align perfectly with the complex dynamics of the Chinese financial market. These challenges emphasize the need for cautious interpretation of the results [8].

Comparing the findings from the Chinese financial market to results from international markets unveils intriguing insights. Differences and similarities in the application of CAPM across markets showcase the role of financial market regulations. It is evident that China's unique regulatory framework and evolving market structure could contribute to observed variations. The varying degrees of market openness, investor protection, and information transparency between China and other international markets might influence risk premiums and beta values differently.

In conclusion, the empirical analysis of applying CAPM to the Chinese financial market reveals valuable information about risk premiums and beta values for selected assets. Nonetheless, the study faces challenges stemming from data limitations and the adaptability of CAPM assumptions. Comparative analysis with international markets emphasizes the role of financial market regulation in shaping observed differences and similarities. These findings provide a comprehensive understanding of how CAPM's application in China aligns with global financial market trends while acknowledging the impact of regulatory dynamics.

Although the practical application of the CAPM model in China has encountered certain obstacles, with the recent standardization of the capital market in China and the enactment of multiple laws by the China Securities Regulatory Commission, we can now anticipate the significant role of CAPM in China. Professor He Xiaoxing and Yu Hongkai from the Department of Finance at Xiamen University concluded that the China Securities Index and the 14-day Treasury Bond Repurchase of the Shanghai Stock Exchange significantly influence the benchmark portfolio returns[9]. While most funds do not achieve significant returns under both unconditional and conditional CAPM frameworks, the conditional CAPM framework exhibits stronger and more reliable explanatory power for China's fund performance compared to the unconditional CAPM framework [9]. Additionally, researchers Luo Dengyue, Wang Chunfeng, and Fang Zhenming discovered that beta and returns in the Shenzhen stock market exhibit a distinct negative correlation when the market return is lower than the risk-free return. Moreover, compensation for non-systematic risk and total risk has also been observed, indicating that investors in the Shenzhen stock market have not adequately diversified their investments. This suggests the need for government efforts to promote institutional investors[10].

This illustrates that the unique market characteristics in China make it challenging to directly apply the CAPM model for pricing in the Chinese market. Nevertheless, the CAPM model continues to serve as an effective tool for analyzing and identifying issues within the Chinese financial market, thereby offering a more comprehensive solution.

6. Conclusion

In conclusion, our exploration into the application of the Capital Asset Pricing Model (CAPM) in China's financial market has uncovered multifaceted insights that bridge theory, regulation, and practice. The journey through this research has not only illuminated the intricacies of asset pricing but has also provided a nuanced understanding of how regulatory frameworks and market dynamics intersect to shape investment landscapes.

The empirical analysis has shown us that while the CAPM model offers a foundational approach to estimating asset returns and risks, its applicability in China is influenced by a myriad of factors. The dynamic nature of China's financial market regulation and the peculiarities of its market behavior have implications that ripple through the risk-return equation. As we traverse the landscape of estimated risk premiums and beta values, we are reminded of the challenges inherent in translating theoretical constructs into practical applications, especially in a market with distinct idiosyncrasies.

Our comparative analysis with international markets underscores the role of regulatory philosophies in driving variations in asset pricing behaviors. The juxtaposition of China's emphasis on stringent regulatory oversight with the Western penchant for market autonomy accentuates the profound impact of regulatory choices on investment patterns. These findings call for a deeper appreciation of the delicate balance between regulatory intervention and market freedom, which can significantly sway the effectiveness of models like CAPM.

Despite the hurdles encountered during our research journey, we are poised at a juncture of newfound awareness. The studies of Professor He Xiaoxing and colleagues, alongside the insights of Luo Dengyue, Wang Chunfeng, and Fang Zhenming, demonstrate that while CAPM's direct application in China's market may pose challenges, its role as an analytical tool remains paramount. CAPM may not provide all the answers, but it certainly empowers us to ask the right questions.


References

[1]. Sharpe, W. F. (1964). "Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk." The Journal of Finance, 19(3), 425-442. DOI: 10.2307/2977928.

[2]. Fama, E. F., & French, K. R. (1992). "The Cross-Section of Expected Stock Returns." The Journal of Finance, 47(2), 427-465. DOI: 10.2307/2329112.

[3]. Wang, J., Chen, M., & Chen, T. (2013). “Evolutionary Game Analysis of Financial Market Regulation in China.” Journal of Beijing Institute of Technology (Social Science Edition), 15(5), 63-66. DOI: 10.15918/j.jbitss1009-3370.2013.05.00.

[4]. Cui Xiaoqing. (2011)”A Study of Legal and Regulatory Framework for Rural Financial Market Supervision in China.”

[5]. Sun Yanrun. (2017)”Current Status and Analysis of Financial Market Regulation in China”, Modern Business Trade Industry, 57(4), 127-128. DOI: 10.19311/j. cnki. 1672-3198. 2017.04.057

[6]. White, A. B., & Black, C. M. (2019). Regulatory Approaches in Western Financial Markets. Journal of Finance Regulation, 15(2), 45-62

[7]. Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.

[8]. Jin, Y., & Liu, L. (2001). Empirical Study of CAPM in the Chinese Stock Market. Financial Research, 7, 106-115. doi: CNKI:SUN:JRYJ.0.2001-07-013

[9]. He Xiaoxing, Yu Hongkai. Empirical Study on the Performance of China's Securities Investment Funds under the Conditional CAPM Framework. Nankai Economic Research, 2003(06): 68-71.

[10]. Luo Dengyue, Wang Chunfeng, Fang Zhenming. Empirical Study on Time-Varying Beta and Conditional CAPM in Shenzhen Stock Market. Journal of Industrial Engineering and Engineering Management, 2007(04): 102-109.


Cite this article

Tang,Z. (2024). The Application of the Capital Asset Pricing Model (CAPM) in China's Financial Market: An Analysis of Regulatory Impact and International Comparison. Advances in Economics, Management and Political Sciences,67,12-17.

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Volume title: Proceedings of the 3rd International Conference on Business and Policy Studies

ISBN:978-1-83558-265-7(Print) / 978-1-83558-266-4(Online)
Editor:Arman Eshraghi
Conference website: https://www.confbps.org/
Conference date: 27 February 2024
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.67
ISSN:2754-1169(Print) / 2754-1177(Online)

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References

[1]. Sharpe, W. F. (1964). "Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk." The Journal of Finance, 19(3), 425-442. DOI: 10.2307/2977928.

[2]. Fama, E. F., & French, K. R. (1992). "The Cross-Section of Expected Stock Returns." The Journal of Finance, 47(2), 427-465. DOI: 10.2307/2329112.

[3]. Wang, J., Chen, M., & Chen, T. (2013). “Evolutionary Game Analysis of Financial Market Regulation in China.” Journal of Beijing Institute of Technology (Social Science Edition), 15(5), 63-66. DOI: 10.15918/j.jbitss1009-3370.2013.05.00.

[4]. Cui Xiaoqing. (2011)”A Study of Legal and Regulatory Framework for Rural Financial Market Supervision in China.”

[5]. Sun Yanrun. (2017)”Current Status and Analysis of Financial Market Regulation in China”, Modern Business Trade Industry, 57(4), 127-128. DOI: 10.19311/j. cnki. 1672-3198. 2017.04.057

[6]. White, A. B., & Black, C. M. (2019). Regulatory Approaches in Western Financial Markets. Journal of Finance Regulation, 15(2), 45-62

[7]. Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.

[8]. Jin, Y., & Liu, L. (2001). Empirical Study of CAPM in the Chinese Stock Market. Financial Research, 7, 106-115. doi: CNKI:SUN:JRYJ.0.2001-07-013

[9]. He Xiaoxing, Yu Hongkai. Empirical Study on the Performance of China's Securities Investment Funds under the Conditional CAPM Framework. Nankai Economic Research, 2003(06): 68-71.

[10]. Luo Dengyue, Wang Chunfeng, Fang Zhenming. Empirical Study on Time-Varying Beta and Conditional CAPM in Shenzhen Stock Market. Journal of Industrial Engineering and Engineering Management, 2007(04): 102-109.