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Correlated noise: Why passive investment might improve market efficiency

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  • Weissensteiner, Alex

Abstract

Over the last decades passive investment products have continuously increased their market share. The efficiency of financial markets is identified to be the main reason for this development. We propose a theoretical model framework which illustrates that the causality can also be reversed, i.e. shows that the efficiency of markets might improve as consequence of passive investment. We analyze a market in which agents process noisy correlated signals and trade a single asset, and we derive a closed-form expression for their expected payoffs. For competitive market makers, we provide a unique pricing expression which leads to a fully-revealing equilibrium and efficient markets. On the contrary, we show that a monopolistic market maker induces frictions in the price-discovery process with partially-revealing equilibria and inefficient markets. Agents with highly correlated noise improve their expected payoffs by reducing the information processing activity, and by doing so they even increase market efficiency.

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  • Weissensteiner, Alex, 2019. "Correlated noise: Why passive investment might improve market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 158-172.
  • Handle: RePEc:eee:jeborg:v:158:y:2019:i:c:p:158-172
    DOI: 10.1016/j.jebo.2018.11.017
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    as
    1. Chakraborty, Archishman & Yilmaz, Bilge, 2004. "Informed manipulation," Journal of Economic Theory, Elsevier, vol. 114(1), pages 132-152, January.
    2. Ottaviani, Marco & Sorensen, Peter Norman, 2006. "The strategy of professional forecasting," Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
    3. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, September.
    4. William D. Brown, Jr & Ray J. Pfeiffer, Jr, 2008. "Do Investors Under-React to Information in Analysts' Earnings Forecasts?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 889-911.
    5. Praveen Sinha & Lawrence D. Brown & Somnath Das, 1997. "A Re†Examination of Financial Analysts' Differential Earnings Forecast Accuracy," Contemporary Accounting Research, John Wiley & Sons, vol. 14(1), pages 1-42, March.
    6. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    7. Jochen Lawrenz & Alex Weissensteiner, 2012. "Correlated Errors: Why a Monotone Relationship Between Forecast Precision and Trading Profitability May Not Hold," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 39(5-6), pages 675-699, June.
    8. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    9. Michael Hanke & Klaus Schredelseker, 2010. "Index funds should be expected to underperform the index," Applied Economics Letters, Taylor & Francis Journals, vol. 17(10), pages 991-994.
    10. Edelen, Roger M. & Evans, Richard B. & Kadlec, Gregory B., 2012. "Disclosure and agency conflict: Evidence from mutual fund commission bundling," Journal of Financial Economics, Elsevier, vol. 103(2), pages 308-326.
    11. Easley, David & O'Hara, Maureen & Paperman, Joseph, 1998. "Financial analysts and information-based trade," Journal of Financial Markets, Elsevier, vol. 1(2), pages 175-201, August.
    12. Jegadeesh, Narasimhan & Kim, Woojin, 2006. "Value of analyst recommendations: International evidence," Journal of Financial Markets, Elsevier, vol. 9(3), pages 274-309, August.
    13. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    14. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    15. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    16. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    17. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    18. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    19. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    20. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Klaus Schredelseker, 2014. "Pascal's Wager and Information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 455-470, September.
    21. Burton G. Malkiel, 2005. "Reflections on the Efficient Market Hypothesis: 30 Years Later," The Financial Review, Eastern Finance Association, vol. 40(1), pages 1-9, February.
    22. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    23. Berk, Jonathan B. & van Binsbergen, Jules H., 2015. "Measuring skill in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 118(1), pages 1-20.
    24. Fischer, PE & Verrecchia, RE, 1998. "Correlated forecast errors," Journal of Accounting Research, Wiley Blackwell, vol. 36(1), pages 91-110.
    25. Pfeifer, Christian & Schredelseker, Klaus & Seeber, Gilg U.H., 2009. "On the negative value of information in informationally inefficient markets: Calculations for large number of traders," European Journal of Operational Research, Elsevier, vol. 195(1), pages 117-126, May.
    26. Kerry Back & C. Henry Cao & Gregory A. Willard, 2000. "Imperfect Competition among Informed Traders," Journal of Finance, American Finance Association, vol. 55(5), pages 2117-2155, October.
    27. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    28. Pasquariello, Paolo, 2010. "Central bank intervention and the intraday process of price formation in the currency markets," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1045-1061, October.
    29. Vives, Xavier, 1995. "Short-Term Investment and the Informational Efficiency of the Market," The Review of Financial Studies, Society for Financial Studies, vol. 8(1), pages 125-160.
    30. Marinelli, Carlo & Weissensteiner, Alex, 2014. "On the relation between forecast precision and trading profitability of financial analysts," Journal of Financial Markets, Elsevier, vol. 20(C), pages 39-60.
    31. Kenneth R. French, 2008. "Presidential Address: The Cost of Active Investing," Journal of Finance, American Finance Association, vol. 63(4), pages 1537-1573, August.
    32. Alexander Dyck & Karl V. Lins & Lukasz Pomorski, 2013. "Does Active Management Pay? New International Evidence," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 3(2), pages 200-228.
    33. Liu, Hong & Wang, Yajun, 2016. "Market making with asymmetric information and inventory risk," Journal of Economic Theory, Elsevier, vol. 163(C), pages 73-109.
    34. Hirshleifer, David & Daniel, Kent, 2015. "Overconfident investors, predictable returns, and excessive trading," MPRA Paper 69002, University Library of Munich, Germany.
    35. Madrigal, Vicente & Scheinkman, Jose A., 1997. "Price Crashes, Information Aggregation, and Market-Making," Journal of Economic Theory, Elsevier, vol. 75(1), pages 16-63, July.
    36. Huber, Jurgen & Kirchler, Michael & Sutter, Matthias, 2008. "Is more information always better: Experimental financial markets with cumulative information," Journal of Economic Behavior & Organization, Elsevier, vol. 65(1), pages 86-104, January.
    37. Robert F. Stambaugh, 2014. "Investment Noise and Trends," NBER Working Papers 20072, National Bureau of Economic Research, Inc.
    38. Garman, Mark B., 1976. "Market microstructure," Journal of Financial Economics, Elsevier, vol. 3(3), pages 257-275, June.
    39. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    40. Grossman, Sanford J, 1995. "Dynamic Asset Allocation and the Informational Efficiency of Markets," Journal of Finance, American Finance Association, vol. 50(3), pages 773-787, July.
    41. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    42. Burton G. Malkiel, 2003. "Passive Investment Strategies and Efficient Markets," European Financial Management, European Financial Management Association, vol. 9(1), pages 1-10, March.
    43. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    44. Glosten, Lawrence R, 1989. "Insider Trading, Liquidity, and the Role of the Monopolist Specialist," The Journal of Business, University of Chicago Press, vol. 62(2), pages 211-235, April.
    45. Huber, Jurgen, 2007. "`J'-shaped returns to timing advantage in access to information - Experimental evidence and a tentative explanation," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2536-2572, August.
    46. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    47. Nicolae Gârleanu, 2004. "Adverse Selection and the Required Return," The Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 643-665.
    48. Robert F. Stambaugh, 2014. "Presidential Address: Investment Noise and Trends," Journal of Finance, American Finance Association, vol. 69(4), pages 1415-1453, August.
    49. Penman, Stephen H, 1982. "Insider Trading and the Dissemination of Firms' Forecast Information," The Journal of Business, University of Chicago Press, vol. 55(4), pages 479-503, October.
    50. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
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    More about this item

    Keywords

    Forecast precision; Efficient markets; Inefficient markets; Passive investment;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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