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Volatility and Informativeness

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  • Eduardo Dávila
  • Cecilia Parlatore

Abstract

We explore the equilibrium relation between price volatility and price informativeness in financial markets, with the ultimate goal of characterizing the type of inferences that can be drawn about price informativeness by observing price volatility. We identify two different channels (noise reduction and equilibrium learning) through which changes in price informativeness are associated with changes in price volatility. We show that when informativeness is sufficiently high (low) volatility and informativeness positively (negatively) comove in equilibrium for any change in primitives. In the context of our leading application, we provide conditions on primitives that guarantee that volatility and informativeness always comove positively or negatively. We use data on U.S. stocks between 1963 and 2017 to recover stock-specific primitives and find that most stocks lie in the region of the parameter space in which informativeness and volatility comove negatively.

Suggested Citation

  • Eduardo Dávila & Cecilia Parlatore, 2019. "Volatility and Informativeness," NBER Working Papers 25433, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:25433
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    References listed on IDEAS

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    1. Xavier Vives, 2017. "Endogenous Public Information and Welfare in Market Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 935-963.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Gadi Barlevy & Pietro Veronesi, 2000. "Information Acquisition in Financial Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(1), pages 79-90.
    4. 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.
    5. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2023. "Imperfect Financial Markets and Investment Inefficiencies," American Economic Review, American Economic Association, vol. 113(9), pages 2323-2354, September.
    6. Masahiro Watanabe, 2008. "Price Volatility and Investor Behavior in an Overlapping Generations Model with Information Asymmetry," Journal of Finance, American Finance Association, vol. 63(1), pages 229-272, February.
    7. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 249-282.
    8. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    9. Bai, Jennie & Philippon, Thomas & Savov, Alexi, 2016. "Have financial markets become more informative?," Journal of Financial Economics, Elsevier, vol. 122(3), pages 625-654.
    10. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    11. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    12. Georgy Chabakauri & Kathy Yuan & Konstantinos E Zachariadis, 2022. "Multi-asset Noisy Rational Expectations Equilibrium with Contingent Claims [A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(5), pages 2445-2490.
    13. Spiegel, Matthew, 1998. "Stock Price Volatility in a Multiple Security Overlapping Generations Model," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 419-447.
    14. John Y. Campbell & Martin Lettau & Burton Malkiel & Yexiao Xu, 2023. "Idiosyncratic Equity Risk Two Decades Later," Critical Finance Review, now publishers, vol. 12(1-4), pages 203-223, August.
    15. Christian Hellwig & Aleh Tsyvinski & Elias Albagli, 2014. "Dynamic Dispersed Information and the Credit Spread Puzzle," 2014 Meeting Papers 808, Society for Economic Dynamics.
    16. Bradyn Breon-Drish, 2015. "On Existence and Uniqueness of Equilibrium in a Class of Noisy Rational Expectations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 868-921.
    17. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    19. Eduardo Dávila & Cecilia Parlatore, 2021. "Trading Costs and Informational Efficiency," Journal of Finance, American Finance Association, vol. 76(3), pages 1471-1539, June.
    20. Eduardo Dávila & Cecilia Parlatore, 2018. "Identifying Price Informativeness," NBER Working Papers 25210, National Bureau of Economic Research, Inc.
    21. Marcin Kacperczyk & Savitar Sundaresan & Tianyu Wang, 2018. "Do Foreign Investors Improve Market Efficiency?," NBER Working Papers 24765, National Bureau of Economic Research, Inc.
    22. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    23. Manzano, Carolina & Vives, Xavier, 2011. "Public and private learning from prices, strategic substitutability and complementarity, and equilibrium multiplicity," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 346-369.
    24. Bergemann, Dirk & Heumann, Tibor & Morris, Stephen, 2015. "Information and volatility," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 427-465.
    25. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
    26. Jayant Vivek Ganguli & Liyan Yang, 2009. "Complementarities, Multiplicity, and Supply Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 90-115, March.
    27. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2017. "Imperfect Financial Markets and Shareholder Incentives in Partial and General Equilibrium," NBER Working Papers 23419, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Jorge Pérez-Rodríguez & Emilio Gómez-Déniza & Simón Sosvilla-Rivero, 2019. "“Testing for private information using trade duration models with unobserved market heterogeneity: The case of Banco Popular”," IREA Working Papers 201907, University of Barcelona, Research Institute of Applied Economics, revised Apr 2019.
    2. Pérez-Rodríguez, Jorge V. & Gómez-Déniz, Emilio & Sosvilla-Rivero, Simón, 2021. "Testing unobserved market heterogeneity in financial markets: The case of Banco Popular," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 151-160.

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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