IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/82744.html
   My bibliography  Save this paper

Empirical Study on Conservative and Representative Heuristics of Hong Kong Small Investors Adopting Momentum and Contrarian Trading Strategies

Author

Listed:
  • Chow, Sheung-Chi
  • Hon, Tai-Yuen
  • Wong, Wing-Keung
  • Woo, Kai-Yin

Abstract

Recently, a new Bayesian approach has been developed to explain some market anomalies. In this paper, we conduct a questionnaire survey to examine whether the theory holds empirically by studying the conservative and representative heuristics by Hong Kong small investors who adopt momentum and/or contrarian trading strategies. In addition, our study provides evidence for the small investors on their time horizon and risk tolerance when facing uncertainty in their investments. Our findings are useful to small investors in their investment decision making and useful to financial advisors in providing service to small investors.

Suggested Citation

  • Chow, Sheung-Chi & Hon, Tai-Yuen & Wong, Wing-Keung & Woo, Kai-Yin, 2017. "Empirical Study on Conservative and Representative Heuristics of Hong Kong Small Investors Adopting Momentum and Contrarian Trading Strategies," MPRA Paper 82744, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:82744
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/82744/1/working%20paper_Hong%20Kong%20Small%20Investors%20%20final.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    2. Alon Brav & J.B. Heaton, 2002. "Competing Theories of Financial Anomalies," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 575-606, March.
    3. Bai, Zhidong & Phoon, Kok Fai & Wang, Keyan & Wong, Wing-Keung, 2013. "The performance of commodity trading advisors: A mean-variance-ratio test approach," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 188-201.
    4. Lucy F. Ackert & George Athanassakos & Bryan K. Church, 2015. "Individual psychology and investment style," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(2), pages 175-201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massoud Moslehpour & Van Kien Pham & Wing-Keung Wong & İsmail Bilgiçli, 2018. "e-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    2. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    3. Gizelle D. Willows & Daniel W. Richards, 2023. "Buy and buy again: The impact of unique reference points on (re)purchase decisions," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 301-316, June.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    5. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    6. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    7. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    8. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    9. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    10. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
    2. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
    3. Baars, Maren & Mohrschladt, Hannes, 2021. "An alternative behavioral explanation for the MAX effect," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 868-886.
    4. Savor, Pavel G., 2012. "Stock returns after major price shocks: The impact of information," Journal of Financial Economics, Elsevier, vol. 106(3), pages 635-659.
    5. Bing Han & Dong Hong & Mitch Warachka, 2009. "Forecast Accuracy Uncertainty and Momentum," Management Science, INFORMS, vol. 55(6), pages 1035-1046, June.
    6. Chan, Wesley S. & Frankel, Richard & Kothari, S.P., 2004. "Testing behavioral finance theories using trends and consistency in financial performance," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 3-50, December.
    7. Bin Wang & Wonseok Choi & Ibrahim Siraj, 2018. "Local investor attention and post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 219-252, July.
    8. Avanidhar Subrahmanyam, 2008. "Behavioural Finance: A Review and Synthesis," European Financial Management, European Financial Management Association, vol. 14(1), pages 12-29, January.
    9. Edward Lee & Norman Strong & Zhenmei (Judy) Zhu, 2014. "Did Regulation Fair Disclosure, SOX, and Other Analyst Regulations Reduce Security Mispricing?," Journal of Accounting Research, Wiley Blackwell, vol. 52(3), pages 733-774, June.
    10. Naranjo, Andy & Porter, Burt, 2010. "Risk factor and industry effects in the cross-country comovement of momentum returns," Journal of International Money and Finance, Elsevier, vol. 29(2), pages 275-299, March.
    11. Avanidhar Subrahmanyam, 2005. "Distinguishing Between Rationales for Short‐Horizon Predictability of Stock Returns," The Financial Review, Eastern Finance Association, vol. 40(1), pages 11-35, February.
    12. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2009. "Momentum Cycles and Limits to Arbitrage Evidence from Victorian England and Post-Depression US Stock Markets," NBER Working Papers 15591, National Bureau of Economic Research, Inc.
    13. Gyamfi-Yeboah, Frank & Ling, David C. & Naranjo, Andy, 2012. "Information, uncertainty, and behavioral effects: Evidence from abnormal returns around real estate investment trust earnings announcements," Journal of International Money and Finance, Elsevier, vol. 31(7), pages 1930-1952.
    14. H. Henry Cao & Hui Ou-Yang, 2009. "Differences of Opinion of Public Information and Speculative Trading in Stocks and Options," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 299-335, January.
    15. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2008. "Price Momentum In Stocks: Insights From Victorian Age Data," NBER Working Papers 14500, National Bureau of Economic Research, Inc.
    16. Jana Smith Raedy & Philip Shane & Yanhua Yang, 2006. "Horizon†Dependent Underreaction in Financial Analysts' Earnings Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 291-322, March.
    17. Aydoğan Alti & Paul C. Tetlock, 2014. "Biased Beliefs, Asset Prices, and Investment: A Structural Approach," Journal of Finance, American Finance Association, vol. 69(1), pages 325-361, February.
    18. Chang, Chiao-Yi, 2011. "The relationship between the 52-week high of an individual stock and stock market index level: Evidence from Taiwan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 14-27, February.
    19. Gutierrez, Roberto Jr. & Prinsky, Christo A., 2007. "Momentum, reversal, and the trading behaviors of institutions," Journal of Financial Markets, Elsevier, vol. 10(1), pages 48-75, February.
    20. Subrahmanyam, Avanidhar, 2018. "Equity market momentum: A synthesis of the literature and suggestions for future work," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 291-296.

    More about this item

    Keywords

    conservative and representative heuristics; momentum and contrarian trading strategies.;

    JEL classification:

    • G0 - Financial Economics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:82744. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.