IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v21y2014i1p1-18.html
   My bibliography  Save this article

The Implications Of Trader Cognitive Abilities On Stock Market Properties

Author

Listed:
  • Viktor Manahov
  • Mona Soufian
  • Robert Hudson

Abstract

Market structure and individual rationality remain at the centre of a debate as to which is the main driving force in market performance. We examine the role of individual rationality, comparing zero‐intelligence traders with traders with different levels of intelligence using a special adaptive form of strongly typed genetic programming‐based learning algorithm. We use this approach with real data: historical quotes of the S&P 500 and Coca‐Cola stock prices. We find a mixture of positive and negative impacts from intelligence on market performance. Because the concept of market structure as a driving force has been significantly challenged in the literature, we suggest that the inclusion of both intelligence and market structures is important when examining the driving forces of market performance. This inclusion is consistent with the research of Todd and Gigerenzer (Journal of Economic Psychology, 24 (2003) 143–165), which asserts that both environment (market structure) and agents’ cognition play important roles. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Viktor Manahov & Mona Soufian & Robert Hudson, 2014. "The Implications Of Trader Cognitive Abilities On Stock Market Properties," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 1-18, January.
    • Handle: RePEc:wly:isacfm:v:21:y:2014:i:1:p:1-18
    DOI: 10.1002/isaf.1348
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.1348
    Download Restriction: no
    File URL: https://libkey.io/10.1002/isaf.1348?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    2. Richards, Anthony J, 1997. "Winner-Loser Reversals in National Stock Market Indices: Can They Be Explained?," Journal of Finance, American Finance Association, vol. 52(5), pages 2129-2144, December.
    3. Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
    4. Shyam Sunder, 2006. "Determinants of Economic Interaction: Behavior or Structure," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 21-32, May.
    5. Mandelbrot, Benoit B, 1972. "Correction of an Error in "The Variation of Certain Speculative Prices" (1963)," The Journal of Business, University of Chicago Press, vol. 45(4), pages 542-543, October.
    6. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    7. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    8. Shyam Sunder, 2006. "Economic Theory: Structural Abstraction or Behavioral Reduction?," History of Political Economy, Duke University Press, vol. 38(5), pages 322-342, Supplemen.
    9. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    10. Bessembinder, Hendrik & Seguin, Paul J., 1993. "Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 21-39, March.
    11. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January.
    12. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    13. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    14. Ball, Ray & Kothari, S. P., 1989. "Nonstationary expected returns : Implications for tests of market efficiency and serial correlation in returns," Journal of Financial Economics, Elsevier, vol. 25(1), pages 51-74, November.
    15. Ólan T. Henry & Michael McKenzie, 2006. "The Impact of Short Selling on the Price-Volume Relationship: Evidence from Hong Kong," The Journal of Business, University of Chicago Press, vol. 79(2), pages 671-692, March.
    16. Hong, Harrison & Kubik, Jeffrey D. & Fishman, Tal, 2012. "Do arbitrageurs amplify economic shocks?," Journal of Financial Economics, Elsevier, vol. 103(3), pages 454-470.
    17. Rama Cont, 2007. "Volatility Clustering in Financial Markets: Empirical Facts and Agent-Based Models," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 289-309, Springer.
    18. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    19. Kim, Tae-Hwan & White, Halbert, 2004. "On more robust estimation of skewness and kurtosis," Finance Research Letters, Elsevier, vol. 1(1), pages 56-73, March.
    20. Gilles Teyssière & Alan P. Kirman (ed.), 2007. "Long Memory in Economics," Springer Books, Springer, number 978-3-540-34625-8, April.
    21. Yeh, Chia-Hsuan, 2008. "The effects of intelligence on price discovery and market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 613-625, December.
    22. repec:bla:jfinan:v:53:y:1998:i:6:p:2205-2223 is not listed on IDEAS
    23. Fung, Hung-Gay & Patterson, Gary A., 1999. "The dynamic relationship of volatility, volume, and market depth in currency futures markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(1), pages 33-59, January.
    24. Paul Brewer & Maria Huang & Brad Nelson & Charles Plott, 2002. "On the Behavioral Foundations of the Law of Supply and Demand: Human Convergence and Robot Randomness," Experimental Economics, Springer;Economic Science Association, vol. 5(3), pages 179-208, December.
    25. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
    26. Zarowin, Paul, 1990. "Size, Seasonality, and Stock Market Overreaction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(1), pages 113-125, March.
    27. Todd, Peter M. & Gigerenzer, Gerd, 2003. "Bounding rationality to the world," Journal of Economic Psychology, Elsevier, vol. 24(2), pages 143-165, April.
    28. Jennings, Robert H & Starks, Laura T & Fellingham, John C, 1981. "An Equilibrium Model of Asset Trading with Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 36(1), pages 143-161, March.
    29. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    30. Robert T. Daigler & Marilyn K. Wiley, 1999. "The Impact of Trader Type on the Futures Volatility‐Volume Relation," Journal of Finance, American Finance Association, vol. 54(6), pages 2297-2316, December.
    31. Ball, Ray & Kothari, S. P. & Shanken, Jay, 1995. "Problems in measuring portfolio performance An application to contrarian investment strategies," Journal of Financial Economics, Elsevier, vol. 38(1), pages 79-107, May.
    32. Chan, K C, 1988. "On the Contrarian Investment Strategy," The Journal of Business, University of Chicago Press, vol. 61(2), pages 147-163, April.
    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. Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
    2. Strijbis, Oliver & Arnesen, Sveinung, 2019. "Explaining variance in the accuracy of prediction markets," International Journal of Forecasting, Elsevier, vol. 35(1), pages 408-419.
    3. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).

    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. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    3. Haugom, Erik & Ray, Rina, 2017. "Heterogeneous traders, liquidity, and volatility in crude oil futures market," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 36-49.
    4. Staccioli, Jacopo & Napoletano, Mauro, 2021. "An agent-based model of intra-day financial markets dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 331-348.
    5. Aris Kartsaklas, 2018. "Trader Type Effects On The Volatility‐Volume Relationship Evidence From The Kospi 200 Index Futures Market," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 226-250, July.
    6. Tribhuvan N. Puri & George C. Philippatos, 2008. "Asymmetric Volume‐Return Relation and Concentrated Trading in LIFFE Futures," European Financial Management, European Financial Management Association, vol. 14(3), pages 528-563, June.
    7. Mougoué, Mbodja & Aggarwal, Raj, 2011. "Trading volume and exchange rate volatility: Evidence for the sequential arrival of information hypothesis," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2690-2703, October.
    8. Henryk Gurgul & Roland Mestel & Tomasz Wojtowicz, 2007. "Distribution of volume on the American stock market," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 1, pages 143-163.
    9. Chris Downing & Frank X. Zhang, 2002. "Trading activity and price volatility in the municipal bond market," Finance and Economics Discussion Series 2002-39, Board of Governors of the Federal Reserve System (U.S.).
    10. Jinliang Li, 2016. "When noise trading fades, volatility rises," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 475-512, October.
    11. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    12. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Randi Naes & Johannes A. Skjeltorp, 2003. "Strategic Investor Behaviour and the Volume-Volatility Relation in Equity Markets," Working Paper 2003/9, Norges Bank.
    14. Hutson, Elaine & Kearney, Colm & Lynch, Margaret, 2008. "Volume and skewness in international equity markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1255-1268, July.
    15. Geir H. Bjønnes & Dagfinn Rime & Haakon O. Aa. Solheim, 2002. "Volume and Volatility in the FX-Market: Does it matter who you are?," CESifo Working Paper Series 786, CESifo.
    16. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 1995. "Market Time and Asset Price Movements Theory and Estimation," CIRANO Working Papers 95s-32, CIRANO.
    17. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    18. Schmitt, Noemi & Westerhoff, Frank, 2014. "Speculative behavior and the dynamics of interacting stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 262-288.
    19. Sarika Mahajan & Balwinder Singh, 2008. "An Empirical Analysis of Stock Price-Volume Relationship in Indian Stock Market," Vision, , vol. 12(3), pages 1-13, July.
    20. Sinha, Pankaj & Agnihotri, Shalini, 2014. "Investigating impact of volatility persistence, market asymmetry and information inflow on volatility of stock indices using bivariate GJR-GARCH," MPRA Paper 58303, University Library of Munich, Germany.

    More about this item

    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:wly:isacfm:v:21:y:2014:i:1:p:1-18. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.