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Correlated Beliefs, Returns, and Stock Market Volatility

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  • Joel M. David
  • Ina Simonovska

Abstract

Firm-level stock returns exhibit comovement above that in fundamentals, and the gap tends to be higher in developing countries. We investigate whether correlated beliefs among sophisticated, but imperfectly informed, traders can account for the patterns of return correlations across countries. We take a unique approach by turning to direct data on market participants’ information - namely, real-time firm-level earnings forecasts made by equity market analysts. The correlations of firm-level forecasts exceed those of fundamentals and are strongly related to return correlations across countries. A calibrated information-based model demonstrates that the correlation of beliefs implied by analyst forecasts leads to return correlations broadly in line with the data, both in levels and across countries - the correlation between predicted and actual is 0.63. Our findings have implications for market-wide volatility - the model-implied correlations alone can explain 44% of the cross-section of aggregate volatility. The results are robust to controlling for a number of alternative factors put forth by the existing literature.

Suggested Citation

  • Joel M. David & Ina Simonovska, 2015. "Correlated Beliefs, Returns, and Stock Market Volatility," NBER Working Papers 21480, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21480
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    1. repec:kap:rqfnac:v:50:y:2018:i:1:d:10.1007_s11156-017-0622-4 is not listed on IDEAS
    2. repec:eee:ememar:v:32:y:2017:i:c:p:1-27 is not listed on IDEAS

    More about this item

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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