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Long-Run Risks and Financial Markets

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  • Ravi Bansal

Abstract

The recently developed long-run risks asset pricing model shows that concerns about long-run expected growth and time-varying uncertainty (i.e., volatility) about future economic prospects drive asset prices. These two channels of economic risks can account for the risk premia and asset price fluctuations. In addition, the model can empirically account for the cross-sectional differences in asset returns. Hence, the long-run risks model provides a coherent and systematic framework for analyzing financial markets.

Suggested Citation

  • Ravi Bansal, 2007. "Long-Run Risks and Financial Markets," NBER Working Papers 13196, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:13196
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    Cited by:

    1. Levin, Andrew T. & David López-Salido, J. & Nelson, Edward & Yun, Tack, 2008. "Macroeconometric equivalence, microeconomic dissonance, and the design of monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 48-62, October.
    2. Joachim Grammig & Andreas Schrimpf & Michael Schuppli, 2009. "Long-horizon consumption risk and the cross-section of returns: new tests and international evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 15(5-6), pages 511-532.
    3. Shaliastovich, Ivan & Tauchen, George, 2011. "Pricing of the time-change risks," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 843-858, June.
    4. Bjørn Eraker & Ivan Shaliastovich, 2008. "An Equilibrium Guide To Designing Affine Pricing Models," Mathematical Finance, Wiley Blackwell, vol. 18(4), pages 519-543, October.
    5. Hao Xing, 2017. "Consumption–investment optimization with Epstein–Zin utility in incomplete markets," Finance and Stochastics, Springer, vol. 21(1), pages 227-262, January.
    6. Kwan, Yum K. & Leung, Charles Ka Yui & Dong, Jinyue, 2015. "Comparing consumption-based asset pricing models: The case of an Asian city," Journal of Housing Economics, Elsevier, vol. 28(C), pages 18-41.
    7. Joshua Aurand & Yu-Jui Huang, 2019. "Epstein-Zin Utility Maximization on Random Horizons," Papers 1903.08782, arXiv.org, revised Mar 2020.
    8. Thomas J. Sargent, 2007. "Commentary on \\"Long-run risks and financial markets\\"," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 301-304.
    9. Abhyankar, Abhay & Klinkowska, Olga & Lee, Soyeon, 2015. "Consumption risk and the cross-section of government bond returns," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 180-200.
    10. Ferson, Wayne & Nallareddy, Suresh & Xie, Biqin, 2013. "The “out-of-sample” performance of long run risk models," Journal of Financial Economics, Elsevier, vol. 107(3), pages 537-556.
    11. Kakeu, Johnson & Bouaddi, Mohammed, 2017. "Empirical evidence of news about future prospects in the risk-pricing of oil assets," Energy Economics, Elsevier, vol. 64(C), pages 458-468.
    12. John Armstrong & Cristin Buescu, 2020. "Asymptotically Optimal Management of Heterogeneous Collectivised Investment Funds," Papers 2004.01506, arXiv.org.

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    More about this item

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G0 - Financial Economics - - General
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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