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Information and Volatility

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Abstract
In an economy of interacting agents with both idiosyncratic and aggregate shocks, we examine how the structure of private information influences aggregate volatility. The maximal aggregate volatility is attained in a noise free information structure in which the agents confound idiosyncratic and aggregate shocks, and display excess response to the aggregate shocks, as in Lucas [14]. For any given variance of aggregate shocks, the upper bound on aggregate volatility is linearly increasing in the variance of the idiosyncratic shocks. Our results hold in a setting of symmetric agents with linear best responses and normal uncertainty. We establish our results by providing a characterization of the set of all joint distributions over actions and states that can arise in equilibrium under any information structure. This tractable characterization, extending results in Bergemann and Morris [8], can be used to address a wide variety of questions linking information with the statistical moments of the economy.

Suggested Citation

  • Dirk Bergemann & Tibor Heumann & Stephen Morris, 2013. "Information and Volatility," Cowles Foundation Discussion Papers 1928RR, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
  • Handle: RePEc:cwl:cwldpp:1928rr
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    References listed on IDEAS

    as
    1. Dirk Bergemann & Stephen Morris, 2013. "Robust Predictions in Games With Incomplete Information," Econometrica, Econometric Society, vol. 81(4), pages 1251-1308, July.
    2. George-Marios Angeletos & Jennifer La'O, 2010. "Noisy Business Cycles," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 319-378, National Bureau of Economic Research, Inc.
    3. George-Marios Angeletos & Luigi Iovino & Jennifer La'O, 2011. "Cycles, Gaps, and the Social Value of Information," Levine's Working Paper Archive 786969000000000293, David K. Levine.
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    5. Dirk Bergemann & Stephen Morris, 2013. "The Comparison of Information Structures in Games: Bayes Correlated Equilibrium and Individual Sufficiency," Levine's Working Paper Archive 786969000000000730, David K. Levine.
    6. Richard N. Clarke, 1983. "Collusion and the Incentives for Information Sharing," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 383-394, Autumn.
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    9. repec:cwl:cwldpp:1821rrr is not listed on IDEAS
    10. George-Marios Angeletos & Alessandro Pavan, 2007. "Efficient Use of Information and Social Value of Information," Econometrica, Econometric Society, vol. 75(4), pages 1103-1142, July.
    11. George-Marios Angeletos & Alessandro Pavan, 2009. "Policy with Dispersed Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 11-60, March.
    12. Bergemann, Dirk & Morris, Stephen, 2016. "Bayes correlated equilibrium and the comparison of information structures in games," Theoretical Economics, Econometric Society, vol. 11(2), May.
    13. Xavier Vives, 2014. "On The Possibility Of Informationally Efficient Markets," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1200-1239, October.
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    19. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Dirk Bergemann & Stephen Morris, 2016. "Information Design, Bayesian Persuasion, and Bayes Correlated Equilibrium," American Economic Review, American Economic Association, vol. 106(5), pages 586-591, May.
    2. Dirk Bergemann & Stephen Morris, 2019. "Information Design: A Unified Perspective," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 44-95, March.
    3. Martin Ellison & Andreas Tischbirek, 2021. "Beauty Contests and the Term Structure [Risk Premia and Term Premia in General Equilibrium]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2234-2282.
    4. Andrea Galeotti & Benjamin Golub & Sanjeev Goyal, 2020. "Targeting Interventions in Networks," Econometrica, Econometric Society, vol. 88(6), pages 2445-2471, November.
    5. Bergemann, Dirk & Morris, Stephen, 2016. "Bayes correlated equilibrium and the comparison of information structures in games," Theoretical Economics, Econometric Society, vol. 11(2), May.
    6. Takuro Yamashita & Alexey Smolin, 2022. "Information design in concave games," Post-Print hal-04141179, HAL.
    7. Dirk Bergemann & Tibor Heumann & Stephen Morris, 2015. "Information and Market Power," Levine's Bibliography 786969000000001101, UCLA Department of Economics.
    8. Christian Myohl & Yannic Stucki, 2018. "Confidence and the Financial Accelerator," Diskussionsschriften dp1823, Universitaet Bern, Departement Volkswirtschaft.
    9. Acharya, Sushant & Benhabib, Jess & Huo, Zhen, 2021. "The anatomy of sentiment-driven fluctuations," Journal of Economic Theory, Elsevier, vol. 195(C).
    10. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
    11. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.
    12. Gaetano Gaballo, 2018. "Price Dispersion, Private Uncertainty, and Endogenous Nominal Rigidities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 1070-1110.
    13. Alex Smolin & Takuro Yamashita, 2022. "Information Design in Smooth Games," Papers 2202.10883, arXiv.org, revised Dec 2023.
    14. Dávila, Eduardo & Parlatore, Cecilia, 2023. "Volatility and informativeness," Journal of Financial Economics, Elsevier, vol. 147(3), pages 550-572.
    15. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    16. Chahrour, Ryan & Gaballo, Gaetano, 2017. "Learning from prices: amplication and business fluctuations," Working Paper Series 2053, European Central Bank.
    17. Dirk Bergemann & Tibor Heumann & Stephen Morris, 2021. "Information, market power, and price volatility," RAND Journal of Economics, RAND Corporation, vol. 52(1), pages 125-150, March.
    18. Annie Liang & Xiaosheng Mu & Vasilis Syrgkanis, 2019. "Optimal and Myopic Information Acquisition," Working Papers 2019-25, Princeton University. Economics Department..
    19. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    20. Carroll, Gabriel, 2016. "Informationally robust trade and limits to contagion," Journal of Economic Theory, Elsevier, vol. 166(C), pages 334-361.
    21. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    22. Heumann, Tibor, 2021. "Efficiency in trading markets with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 191(C).
    23. Wu, Jieran, 2022. "Comments on “Sentiments and real business cycles”," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).

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    More about this item

    Keywords

    Incomplete information; Idiosyncratic shocks; Aggregate shocks; Volatility; Confounding information; Moment restrictions; Linear best responses; Quadratic payoffs; Bayes correlated equilibrium;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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