IDEAS home Printed from https://ideas.repec.org/a/eee/finmar/v59y2022ipas1386418122000015.html
   My bibliography  Save this article

Price discovery during parallel stocks and options preopening: Information distortion and hints of manipulation

Author

Listed:
  • Hauser, Shmuel
  • Kedar-Levy, Haim
  • Milo, Orit

Abstract

Many exchanges act to prevent manipulative orders from distorting informative price discovery during stock and options’ markets preopening. Most preopening sessions run in parallel: indicative book-based stock prices alongside traded index options, whose underlying asset is the indicative index. Lead-lag patterns between the options-implied and the indicative indexes may point to differences in informational efficiency and/or manipulated prices. With three regulatory events throughout our sample, serving as natural experiments, we explore price discovery properties in both markets. We find significant lead-lag, price reversal, and order cancellation patterns similar to those predicted by theoretical models of manipulation, together with informational inefficiencies.

Suggested Citation

  • Hauser, Shmuel & Kedar-Levy, Haim & Milo, Orit, 2022. "Price discovery during parallel stocks and options preopening: Information distortion and hints of manipulation," Journal of Financial Markets, Elsevier, vol. 59(PA).
    • Handle: RePEc:eee:finmar:v:59:y:2022:i:pa:s1386418122000015
    DOI: 10.1016/j.finmar.2022.100705
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1386418122000015
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.finmar.2022.100705?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Patel, Vinay & Putniņš, Tālis J. & Michayluk, David & Foley, Sean, 2020. "Price discovery in stock and options markets," Journal of Financial Markets, Elsevier, vol. 47(C).
    2. Kumar, Praveen & Seppi, Duane J, 1992. "Futures Manipulation with "Cash Settlement."," Journal of Finance, American Finance Association, vol. 47(4), pages 1485-1502, September.
    3. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    5. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    6. James J. Angel & Lawrence E. Harris & Chester S. Spatt, 2011. "Equity Trading in the 21stCentury," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-53.
    7. Muravyev, Dmitriy & Pearson, Neil D. & Paul Broussard, John, 2013. "Is there price discovery in equity options?," Journal of Financial Economics, Elsevier, vol. 107(2), pages 259-283.
    8. Gavious, Arieh & Kedar-Levy, Haim, 2013. "The speed of stock price discovery," Journal of Financial Intermediation, Elsevier, vol. 22(2), pages 245-258.
    9. Robert A. Jarrow, 2008. "Derivative Security Markets, Market Manipulation, and Option Pricing Theory," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 7, pages 131-151, World Scientific Publishing Co. Pte. Ltd..
    10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    11. Medrano, Luis Angel & Vives, Xavier, 2001. "Strategic Behavior and Price Discovery," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 221-248, Summer.
    12. Chester Spatt, 2014. "Security Market Manipulation," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 405-418, December.
    13. Martin D. D. Evans & Peter O'Neill & Dagfinn Rime & Jo Saakvitne, 2018. "Fixing the Fix? Assessing the Effectiveness of the 4pm Fix Benchmark," Working Papers gueconwpa~18-18-18, Georgetown University, Department of Economics.
    14. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    15. repec:bla:jfinan:v:53:y:1998:i:6:p:2059-2106 is not listed on IDEAS
    16. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
    17. Wen Jin & Joshua Livnat & Yuan Zhang, 2012. "Option Prices Leading Equity Prices: Do Option Traders Have an Information Advantage?," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 401-432, May.
    18. Naomi Boyd & Peter Locke, 2014. "Price Discovery in Futures and Options Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(9), pages 853-867, September.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. Ulrich Horst & Felix Naujokat, 2011. "On derivatives with illiquid underlying and market manipulation," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1051-1066.
    21. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
    22. Tālis J. Putniņš, 2012. "Market Manipulation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 952-967, December.
    23. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    24. Bruno Biais & Pierre Hillion & Chester Spatt, 1999. "Price Discovery and Learning during the Preopening Period in the Paris Bourse," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1218-1248, December.
    25. Jeff Fleming & Barbara Ostdiek & Robert E. Whaley, 1996. "Trading costs and the relative rates of price discovery in stock, futures, and option markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 353-387, June.
    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. Liu, Jie & Wu, Chonglin & Yuan, Lin & Liu, Jia, 2022. "Opening price manipulation and its value influences," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 119289, London School of Economics and Political Science, LSE Library.
    3. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(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. Park, Seongkyu “Gilbert” & Suen, Wing & Wan, Kam-Ming, 2022. "Call auction design and closing price manipulation: Evidence from the Hong Kong stock exchange," Journal of Financial Markets, Elsevier, vol. 58(C).
    2. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    3. Hasanov, Fakhri & Mammadov, Fuad, 2010. "The Role of the Fiscal Policy in the Development of the Non-Resource," MPRA Paper 65571, University Library of Munich, Germany.
    4. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    5. Chester Spatt, 2014. "Security Market Manipulation," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 405-418, December.
    6. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    7. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    8. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    9. Garg, Bhavesh & Prabheesh, K.P., 2021. "Testing the intertemporal sustainability of current account in the presence of endogenous structural breaks: Evidence from the top deficit countries," Economic Modelling, Elsevier, vol. 97(C), pages 365-379.
    10. Levent KORAP, 2008. "Exchange Rate Determination Of Tl/Us$:A Co-Integration Approach," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 7(1), pages 24-50, May.
    11. Perles-Ribes, José Francisco & Ramón-Rodríguez, Ana Belén & Rubia, Antonio & Moreno-Izquierdo, Luis, 2017. "Is the tourism-led growth hypothesis valid after the global economic and financial crisis? The case of Spain 1957–2014," Tourism Management, Elsevier, vol. 61(C), pages 96-109.
    12. Eleni Constantinou & Avo Kazandjian & Georgios P. Kouretas & Vera Tahmazian, 2008. "Common Stochastic Trends Among The Cyprus Stock Exchange And The Ase, Lse And Nyse," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 327-349, October.
    13. Pedro Hugo Clavijo Cortes, 2017. "Balance comercial y volatilidad del tipo de cambio nominal: Un estudio de series de tiempo para Colombia," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 11(1), pages 37-58, June.
    14. Claude Diebolt & Cédric Doliger, 2005. "Becker vs. Easterlin. Education, Fertility and Growth in France after World War II," Working Papers 05-03, Association Française de Cliométrie (AFC).
    15. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    16. Sulaiman, Saidu & Masih, Mansur, 2017. "Is liberalizing finance the game in town for Nigeria ?," MPRA Paper 95569, University Library of Munich, Germany.
    17. Fakhri, Hasanov, 2010. "The Impact of Real Effective Exchange Rate on the Non-oil Export: The Case of Azerbaijan," MPRA Paper 29556, University Library of Munich, Germany.
    18. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    19. Jude Okechukwu Chukwu, 2013. "Budget Deficits, Money Growth and Price Level in Nigeria," African Development Review, African Development Bank, vol. 25(4), pages 468-477, December.
    20. Guneratne B Wickremasinghe & Jae H Kim, 2008. "Weak-Form Efficiency of Foreign Exchange Markets of Developing Economies," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(2), pages 169-196, August.

    More about this item

    Keywords

    Price discovery; Manipulation; Preopening; Market efficiency;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:finmar:v:59:y:2022:i:pa:s1386418122000015. 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/finmar .

    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.