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Volatility, the Macroeconomy and Asset Prices

Author

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  • Ravi Bansal
  • Dana Kiku
  • Ivan Shaliastovich
  • Amir Yaron

Abstract

We show that volatility movements have first-order implications for consumption dynamics and asset prices. Volatility news affects the stochastic discount factor and carries a separate risk premium. In the data, volatility risks are persistent and are strongly correlated with discount-rate news. This evidence has important implications for the return on aggregate wealth and the cross-sectional differences in risk premia. Estimation of our volatility risks based model yields an economically plausible positive correlation between the return to human capital and equity, while this correlation is implausibly negative when volatility risk is ignored. Our model setup implies a dynamics capital asset pricing model (DCAPM) which underscores the importance of volatility risk in addition to cash-flow and discount-rate risks. We show that our DCAPM accounts for the level and dispersion of risk premia across book-to-market and size sorted portfolios, and that equity portfolios carry positive volatility-risk premia.

Suggested Citation

  • Ravi Bansal & Dana Kiku & Ivan Shaliastovich & Amir Yaron, 2012. "Volatility, the Macroeconomy and Asset Prices," NBER Working Papers 18104, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18104 Note: AP EFG
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    Cited by:

    1. John Y. Campbell & Stefano Giglio & Christopher Polk, 2013. "Hard Times," Review of Asset Pricing Studies, Oxford University Press, vol. 3(1), pages 95-132.
      • John Y. Campbell & Stefano Giglio & Christopher Polk, 2010. "Hard Times," NBER Working Papers 16222, National Bureau of Economic Research, Inc.
      • Campbell, John Y. & Giglio, Stefano & Polk, Christopher, 2013. "Hard Times," Scholarly Articles 12172786, Harvard University Department of Economics.
    2. Fung, Ka Wai Terence & Lau, Chi Keung Marco & Chan, Kwok Ho, 2014. "The conditional equity premium, cross-sectional returns and stochastic volatility," Economic Modelling, Elsevier, vol. 38(C), pages 316-327.
    3. Kai Li & Fang Yang & Hengjie Ai, 2015. "Financial Intermediation and Capital Reallocation," 2015 Meeting Papers 429, Society for Economic Dynamics.
    4. Max Gillman & Michal Kejak & Michal Pakoš, 2015. "Learning about Rare Disasters: Implications For Consumption and Asset Prices," Review of Finance, European Finance Association, vol. 19(3), pages 1053-1104.
    5. Song, Zhaogang & Xiu, Dacheng, 2016. "A tale of two option markets: Pricing kernels and volatility risk," Journal of Econometrics, Elsevier, vol. 190(1), pages 176-196.
    6. Roussanov, Nikolai, 2014. "Composition of wealth, conditioning information, and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 111(2), pages 352-380.
    7. Max Gillman & Michal Kejak & Michal Pakos, 2014. "Learning about Disaster Risk: Joint Implications for Consumption and Asset Prices," CERGE-EI Working Papers wp507, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

    More about this item

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • G0 - Financial Economics - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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