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Asset pricing with index investing

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  • Chabakauri, Georgy
  • Rytchkov, Oleg

Abstract

We theoretically analyze how index investing affects financial markets using a dynamic exchange economy with heterogeneous investors and two Lucas trees. We identify two effects of indexing: lockstep trading of stocks increases market volatility and stock return correlations but reduction in risk sharing decreases them. Overall, indexing decreases market volatility but has an ambiguous effect on the correlations. Also, index investing decreases an investor's welfare, but indexing by other investors partially offsets the loss. When the introduction of index trading opens financial markets for new investors, the improved risk sharing makes market returns more volatile and stock returns more correlated.

Suggested Citation

  • Chabakauri, Georgy & Rytchkov, Oleg, 2020. "Asset pricing with index investing," LSE Research Online Documents on Economics 118895, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:118895
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    File URL: http://eprints.lse.ac.uk/118895/
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    References listed on IDEAS

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    1. Duffie, Darrell & Epstein, Larry G, 1992. "Stochastic Differential Utility," Econometrica, Econometric Society, vol. 60(2), pages 353-394, March.
    2. Huck, Steffen & Weizsacker, Georg, 1999. "Risk, complexity, and deviations from expected-value maximization: Results of a lottery choice experiment," Journal of Economic Psychology, Elsevier, vol. 20(6), pages 699-715, December.
    3. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    4. Ortoleva, Pietro, 2013. "The price of flexibility: Towards a theory of Thinking Aversion," Journal of Economic Theory, Elsevier, vol. 148(3), pages 903-934.
    5. Francis A. Longstaff & Jiang Wang, 2012. "Asset Pricing and the Credit Market," The Review of Financial Studies, Society for Financial Studies, vol. 25(11), pages 3169-3215.
    6. Nicolae Gârleanu & Stavros Panageas, 2015. "Young, Old, Conservative, and Bold: The Implications of Heterogeneity and Finite Lives for Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 123(3), pages 670-685.
    7. Doron Sonsino & Uri Benzion & Galit Mador, 2002. "The Complexity Effects on Choice with Uncertainty — Experimental Evidence," Economic Journal, Royal Economic Society, vol. 112(482), pages 936-965, October.
    8. Drew Fudenberg & Tomasz Strzalecki, 2015. "Dynamic Logit With Choice Aversion," Econometrica, Econometric Society, vol. 83, pages 651-691, March.
    9. Jiang, Wang, 1996. "The term structure of interest rates in a pure exchange economy with heterogeneous investors," Journal of Financial Economics, Elsevier, vol. 41(1), pages 75-110, May.
    10. Duffie, Darrel & Lions, Pierre-Louis, 1992. "PDE solutions of stochastic differential utility," Journal of Mathematical Economics, Elsevier, vol. 21(6), pages 577-606.
    11. Harjoat S. Bhamra & Raman Uppal, 2009. "The Effect of Introducing a Non-Redundant Derivative on the Volatility of Stock-Market Returns When Agents Differ in Risk Aversion," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2303-2330, June.
    12. Peter Moffatt & Stefania Sitzia & Daniel Zizzo, 2015. "Heterogeneity in preferences towards complexity," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 147-170, October.
    13. Georgy Chabakauri, 2013. "Dynamic Equilibrium with Two Stocks, Heterogeneous Investors, and Portfolio Constraints," The Review of Financial Studies, Society for Financial Studies, vol. 26(12), pages 3104-3141.
    14. Duffie, Darrell & Epstein, Larry G, 1992. "Asset Pricing with Stochastic Differential Utility," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 411-436.
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    Cited by:

    1. Jiang, Hao & Vayanos, Dimitri & Zheng, Lu, 2020. "Tracking biased weights: asset pricing implications of value-weighted indexing," LSE Research Online Documents on Economics 118847, London School of Economics and Political Science, LSE Library.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets

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