IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v122y2014i2p370-373.html
   My bibliography  Save this article

Manipulating market sentiment

Author

Listed:
  • Piccione, Michele
  • Spiegler, Ran

Abstract

We analyze a simple model of an asset market, in which a large rational trader interacts with “noise speculators” who seek short-run speculative gains, and become active following a prolonged episode of mispricing relative to the asset’s fundamental value. The model gives rise to price patterns such as bubble dynamics, positive short-run correlation and vanishing long-run correlation of price deviations from the fundamental value. We argue that this example model sheds light on the question as to whether rational speculators abet or curb price fluctuations.

Suggested Citation

  • Piccione, Michele & Spiegler, Ran, 2014. "Manipulating market sentiment," Economics Letters, Elsevier, vol. 122(2), pages 370-373.
    • Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:370-373
    DOI: 10.1016/j.econlet.2013.12.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176513005600
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2013.12.021?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Hart, Oliver D & Kreps, David M, 1986. "Price Destabilizing Speculation," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 927-952, October.
    3. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    4. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    5. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    6. Ariel Rubinstein & Ran Spiegler, 2008. "Money Pumps in the Market," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 237-253, March.
    7. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    8. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    9. Oliver D. Hart, 1977. "On The Profitability of Speculation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(4), pages 579-597.
    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. Pedro Manuel Nogueira Reis & Carlos Pinho, 2021. "A Reappraisal of the Causal Relationship between Sentiment Proxies and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 420-442, October.
    2. Lyudmila A. Glik & Oleg L. Kritski, 2014. "Finding informed traders in futures and their inderlying assets in intraday trading," Papers 1402.6583, arXiv.org.
    3. Reis, Pedro Manuel Nogueira & Pinho, Carlos, 2020. "A new European investor sentiment index (EURsent) and its return and volatility predictability," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(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. Yuming Fu & Wenlan Qian & Bernard Yeung, 2016. "Speculative Investors and Transactions Tax: Evidence from the Housing Market," Management Science, INFORMS, vol. 62(11), pages 3254-3270, November.
    2. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    3. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    4. Mirza Faizan Ahmed, 2019. "Estimating proportion of noise traders and asset prices," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(2), pages 1-12, July-Dece.
    5. Changyun Wang, 2003. "The behavior and performance of major types of futures traders," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(1), pages 1-31, January.
    6. Viet Hoang Nguyen & Yongcheol Shin, 2011. "Asymmetric Price Impacts of Order Flow on Exchange Rate Dynamics," Melbourne Institute Working Paper Series wp2011n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Mendel, Brock & Shleifer, Andrei, 2012. "Chasing noise," Journal of Financial Economics, Elsevier, vol. 104(2), pages 303-320.
    8. Salm, Christian A. & Schuppli, Michael, 2010. "Positive feedback trading in stock index futures: International evidence," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 313-322, December.
    9. Markus K. Brunnermeier & Lasse Heje Pedersen, 2005. "Predatory Trading," Journal of Finance, American Finance Association, vol. 60(4), pages 1825-1863, August.
    10. Sarantis Tsiaplias, 2009. "Examining Feedback, Momentum and Overreaction in National Equity Markets," Melbourne Institute Working Paper Series wp2009n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Kumari, Jyoti, 2019. "Investor sentiment and stock market liquidity: Evidence from an emerging economy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 166-180.
    12. Osler, C. L., 1995. "Exchange rate dynamics and speculator horizons," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 695-719, October.
    13. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    14. Hsin, Chin-Wen & Guo, Wen-Chung & Tseng, Seng-Su & Luo, Wen-Chih, 2003. "The impact of speculative trading on stock return volatility: the evidence from Taiwan," Global Finance Journal, Elsevier, vol. 14(3), pages 243-270, December.
    15. Jia, Xue, 2016. "On the role of information disclosures in capital markets," Other publications TiSEM 9bacfbaa-2162-49fe-92e6-5, Tilburg University, School of Economics and Management.
    16. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    17. Ichkitidze, Yuri, 2018. "Temporary price trends in the stock market with rational agents," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 103-117.
    18. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
    19. Adrian, Tobias, 2009. "Inference, arbitrage, and asset price volatility," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 49-64, January.
    20. Greenwood, Robin, 2005. "Short- and long-term demand curves for stocks: theory and evidence on the dynamics of arbitrage," Journal of Financial Economics, Elsevier, vol. 75(3), pages 607-649, March.

    More about this item

    Keywords

    Behavioral finance; Price manipulation; Bounded rationality; Trading rules; Speculative trade;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

    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:eee:ecolet:v:122:y:2014:i:2:p:370-373. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.