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Ambiguity—Risk—Return: Evidence from the Stock Market in China

Received: 25 May 2022    Accepted: 27 June 2022    Published: 5 July 2022
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Abstract

In the past decades, ambiguity in the stock market has been widely studied theoretically and experimentally. Most existing studies focus on foreign financial markets, such as American stock market. However, there are essential differences between Chinese stock market and others stock market, such as its participants and trading mechanisms. Therefore, it is necessary to study the relation of ambiguity, risk and expected return in China's stock market. This study analyzes CSI 300 index data for January 2006 to February 2020 to investigate the relationships between ambiguity, risk, and expected returns in China’s stock market. We apply empirical methods to measure the degree of ambiguity and assess attitudes toward ambiguity from the China's market data, the results indicate that: (1) the degree of ambiguity increases with the expected return; (2) when risk and ambiguity are introduced simultaneously, the expected return of China's stock market is significant negative; and (3) in addition, we also prove that the investors’ level of aversion to or preference for ambiguity, which depends on the expected probability of favorable returns. In sum, our results not only clarify ambiguity and risk regarding expected returns but also provide the theoretical and practical implications for the problem of asset prices in China's stock market.

Published in American Journal of Applied Mathematics (Volume 10, Issue 4)
DOI 10.11648/j.ajam.20221004.11
Page(s) 118-124
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Ambiguity, Ambiguity Version, Return, Risk

References
[1] Driouchi T., Trigeorgis L., So R. H. Option Implied Ambiguity and Its Information Content: Evidence from the Subprime Crisis [J]. Annals of Operations Research, 2018: 262–491.
[2] Ui T. The Ambiguity Premium vs. the Risk Premium under Limited Market Participation [J]. Review of Finance, 2011, 15: 245–275.
[3] Menachem B., Yehuda I. Asset Pricing and Ambiguity: Empirical Evidence [J]. Journal of Financial Economics, 2018, 130: 1-48.
[4] Epstein L. G., Schneider, M. Ambiguity, Information Quality, and Asset Pricing [J]. Journal of Finance, 2008, 63: 197–228.
[5] Anderson E. W., Ghysels E., Juergens J. L. The Impact of Risk and Uncertainty on Expected Returns [J]. Journal of Financial Economics, 2009, 94: 233–263.
[6] Antoniou C., Harris, R. D., Zhang, R. Ambiguity Aversion and Stock Market Participation: An Empirical Analysis [J]. Journal of Banking & Finance, 2015, 58: 57–70.
[7] Ulrich M. Inflation Ambiguity and the Term Structure of US Government Bonds [J]. Journal of Monetary Economics, 2013, 60: 295–309.
[8] Williams C. D. Asymmetric Responses to Earnings News: A Case for Ambiguity [J]. Accounting Review, 2015, 90: 785–817.
[9] Mele A., Sangiorgi F. Ambiguity, Information Acquisition and Price Swings in Asset Markets [J]. Review of Economic Studies, 2015, 82 (4): 1533-1567.
[10] Scot C. Living with Ambiguity: Prices and Survival When Investors Have Heterogeneous Preferences for Ambiguity [J]. Economic Theory, 2008, 36 (1): 81-108.
[11] Tan R. Q., Manahov V., Thijsen J. The Effect of Ambiguity on the UK Stock Market: Evidence from a New Empirical Approach [J]. Investment Management and Financial Innovations, 2017, 14 (4): 133-147.
[12] Mohammad R. J., Liu H. Ambiguity Aversion and Asset Prices in Production Economies [J]. Review of Financial Studies, 2014, 27 (10): 3060-3097.
[13] Wakker P. P., Timmermans D. R. M., Machielse I. The Effects of Statistical Information on Risk and Ambiguity Attitudes, and on Rational Insurance Decisions [J]. Management Science, 2007, 53: 1770–1784.
[14] Mangelsdorff L., Weber, M. Testing Choquet Expected Utility [J]. Journal of Economic Behavior and Organization, 1994, 25: 437–457.
[15] Abdellaoui M., Vossmann F., Weber M. Choice-based Elicitation and Decomposition of Decision Weights for Gains and Losses under Uncertainty [J]. Management Science, 2005, 51: 1384–1399.
[16] Du N., Budescu D. V. The Effects of Imprecise Probabilities and Outcomes in Evaluating Investment Options [J]. Management Science, 2005, 51: 1791–1803.
[17] Merton R. C. On Estimating the Expected Return on the Market: An Exploratory Investigation [J]. Journal of Financial Economics, 1980, 8: 323–361.
[18] French K. R., Schwert G. W., Stambaugh, R. F. Expected stock returns and volatility [J]. Journal of Financial Economics, 1987, 19: 3–29.
[19] Campbell J. Y., Hentschel L. No news is good news: An asymmetric model of changing volatility in stock returns [J]. Journal of Financial Economics, 1992, 31: 281–318.
[20] Guo H., Whitelaw R. F. Uncovering the Risk-return Relation in the Stock Market [J]. Journal of Finance, 2006, 61: 1433–1463.
[21] Pastor L., Sinha M., Swaminathan B. Estimating the Intertemporal Risk–return Tradeoff Using the Implied Cost of Capital [J]. Journal of Finance, 2008, 63: 2859–2897.
[22] Nelson D. B. Conditional Heteroskedasticity in Asset Returns: A New Approach [J]. Econometrica, 1991, 59: 347–70.
[23] Harvey C. R. The Specification of Conditional Expectations [J]. Journal of Empirical Finance, 2001, 8: 573–637.
[24] Maffioletti A., Santoni M. Do Trade Union Leaders Violate Subjective Expected Utility? Some Insights from Experimental Data [J]. Theory and Decision, 2005, 59: 207–253.
Cite This Article
  • APA Style

    Yingxiu Zhao, Baojuan Shi, Fang Song, Lin Zhou. (2022). Ambiguity—Risk—Return: Evidence from the Stock Market in China. American Journal of Applied Mathematics, 10(4), 118-124. https://doi.org/10.11648/j.ajam.20221004.11

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    ACS Style

    Yingxiu Zhao; Baojuan Shi; Fang Song; Lin Zhou. Ambiguity—Risk—Return: Evidence from the Stock Market in China. Am. J. Appl. Math. 2022, 10(4), 118-124. doi: 10.11648/j.ajam.20221004.11

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    AMA Style

    Yingxiu Zhao, Baojuan Shi, Fang Song, Lin Zhou. Ambiguity—Risk—Return: Evidence from the Stock Market in China. Am J Appl Math. 2022;10(4):118-124. doi: 10.11648/j.ajam.20221004.11

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  • @article{10.11648/j.ajam.20221004.11,
      author = {Yingxiu Zhao and Baojuan Shi and Fang Song and Lin Zhou},
      title = {Ambiguity—Risk—Return: Evidence from the Stock Market in China},
      journal = {American Journal of Applied Mathematics},
      volume = {10},
      number = {4},
      pages = {118-124},
      doi = {10.11648/j.ajam.20221004.11},
      url = {https://doi.org/10.11648/j.ajam.20221004.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20221004.11},
      abstract = {In the past decades, ambiguity in the stock market has been widely studied theoretically and experimentally. Most existing studies focus on foreign financial markets, such as American stock market. However, there are essential differences between Chinese stock market and others stock market, such as its participants and trading mechanisms. Therefore, it is necessary to study the relation of ambiguity, risk and expected return in China's stock market. This study analyzes CSI 300 index data for January 2006 to February 2020 to investigate the relationships between ambiguity, risk, and expected returns in China’s stock market. We apply empirical methods to measure the degree of ambiguity and assess attitudes toward ambiguity from the China's market data, the results indicate that: (1) the degree of ambiguity increases with the expected return; (2) when risk and ambiguity are introduced simultaneously, the expected return of China's stock market is significant negative; and (3) in addition, we also prove that the investors’ level of aversion to or preference for ambiguity, which depends on the expected probability of favorable returns. In sum, our results not only clarify ambiguity and risk regarding expected returns but also provide the theoretical and practical implications for the problem of asset prices in China's stock market.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Ambiguity—Risk—Return: Evidence from the Stock Market in China
    AU  - Yingxiu Zhao
    AU  - Baojuan Shi
    AU  - Fang Song
    AU  - Lin Zhou
    Y1  - 2022/07/05
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajam.20221004.11
    DO  - 10.11648/j.ajam.20221004.11
    T2  - American Journal of Applied Mathematics
    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
    SP  - 118
    EP  - 124
    PB  - Science Publishing Group
    SN  - 2330-006X
    UR  - https://doi.org/10.11648/j.ajam.20221004.11
    AB  - In the past decades, ambiguity in the stock market has been widely studied theoretically and experimentally. Most existing studies focus on foreign financial markets, such as American stock market. However, there are essential differences between Chinese stock market and others stock market, such as its participants and trading mechanisms. Therefore, it is necessary to study the relation of ambiguity, risk and expected return in China's stock market. This study analyzes CSI 300 index data for January 2006 to February 2020 to investigate the relationships between ambiguity, risk, and expected returns in China’s stock market. We apply empirical methods to measure the degree of ambiguity and assess attitudes toward ambiguity from the China's market data, the results indicate that: (1) the degree of ambiguity increases with the expected return; (2) when risk and ambiguity are introduced simultaneously, the expected return of China's stock market is significant negative; and (3) in addition, we also prove that the investors’ level of aversion to or preference for ambiguity, which depends on the expected probability of favorable returns. In sum, our results not only clarify ambiguity and risk regarding expected returns but also provide the theoretical and practical implications for the problem of asset prices in China's stock market.
    VL  - 10
    IS  - 4
    ER  - 

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Author Information
  • School of Economics, North China University of Science and Technology, Tangshan, China

  • School of Economics, North China University of Science and Technology, Tangshan, China

  • School of Economics and Management, Qinghai Minzu University, Xining, China

  • School of Economics and Management, Qinghai Minzu University, Xining, China

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