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Long-run risk is the worst-case scenario: ambiguity aversion and non-parametric estimation of the endowment process

  • Bidder, Rhys

    ()

    (Federal Reserve Bank of San Francisco)

  • Dew-Becker, Ian

    ()

    (Kellogg School of Management, Northwestern University)

We study an agent who is unsure of the dynamics of consumption growth. She estimates her consumption process non-parametrically to place minimal restrictions on dynamics. We analytically show that the worst-case model that she uses for pricing, given a penalty on deviations from the point estimate, is a model with long-run risks. This result cannot in general be matched in a fixed model with only parameter uncertainty. With a single parameter determining risk preferences, the model generates high and volatile risk premia and matches R2s from return forecasting regressions, even though risk aversion is equal to 5.3 and the worst-case dynamics are statistically nearly indistinguishable from the true model.

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Paper provided by Federal Reserve Bank of San Francisco in its series Working Paper Series with number 2014-16.

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Length: 59 pages
Date of creation: May 2014
Date of revision:
Handle: RePEc:fip:fedfwp:2014-16
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  1. Jianjun Miao & NENGJIU JU, 2010. "Ambiguity, Learning, And Asset Returns," Boston University - Department of Economics - Working Papers Series WP2010-031, Boston University - Department of Economics.
  2. Rhys Bidder & Matthew E. Smith, 2013. "Doubts and variability: a robust perspective on exotic consumption series," Working Paper Series 2013-28, Federal Reserve Bank of San Francisco.
  3. Andreas Fuster & Benjamin Hebert & David Laibson, 2011. "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 1-48 National Bureau of Economic Research, Inc.
  4. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
  5. Barillas, Francisco & Hansen, Lars Peter & Sargent, Thomas J., 2009. "Doubts or variability?," Journal of Economic Theory, Elsevier, vol. 144(6), pages 2388-2418, November.
  6. Beeler, Jason & Campbell, John Y., 2012. "The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment," Scholarly Articles 9887621, Harvard University Department of Economics.
  7. Fabio Trojani & Markus Leippold & Paolo Vanini, 2005. "Learning and Asset Prices under Ambiguous Information," University of St. Gallen Department of Economics working paper series 2005 2005-03, Department of Economics, University of St. Gallen.
  8. Robert B. Barsky & J. Bradford De Long, 1992. "Why Does the Stock Market Fluctuate?," NBER Working Papers 3995, National Bureau of Economic Research, Inc.
  9. Larry Epstein & Martin Schneider, 2002. "Learning Under Ambiguity," RCER Working Papers 497, University of Rochester - Center for Economic Research (RCER), revised Mar 2005.
  10. Cochrane, John H. & Campbell, John, 1999. "By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Scholarly Articles 3119444, Harvard University Department of Economics.
  11. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2012. "An Empirical Evaluation of the Long-Run Risks Model for Asset Prices," Critical Finance Review, now publishers, vol. 1(1), pages 183-221, January.
  12. Robert J. Barro & JosĂ© F. UrsĂșa, 2008. "Macroeconomic Crises since 1870," NBER Working Papers 13940, National Bureau of Economic Research, Inc.
  13. Bryan R. Routledge & Stanley E. Zin, 2001. "Model Uncertainty and Liquidity," NBER Working Papers 8683, National Bureau of Economic Research, Inc.
  14. Cogley, Timothy & Sargent, Thomas J., 2008. "The market price of risk and the equity premium: A legacy of the Great Depression?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 454-476, April.
  15. Ian Dew-Becker & Stefano Giglio, 2013. "Asset Pricing in the Frequency Domain: Theory and Empirics," NBER Working Papers 19416, National Bureau of Economic Research, Inc.
  16. Uppal, Raman & Wang, Tan, 2002. "Model Misspecification and Under-Diversification," CEPR Discussion Papers 3304, C.E.P.R. Discussion Papers.
  17. Epstein, Larry G & Zin, Stanley E, 1991. "Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: An Empirical Analysis," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 263-86, April.
  18. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed-b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, 01.
  19. Itzhak Gilboa & David Schmeidler, 1989. "Maxmin Expected Utility with Non-Unique Prior," Post-Print hal-00753237, HAL.
  20. Sbuelz, Alessandro & Trojani, Fabio, 2008. "Asset prices with locally constrained-entropy recursive multiple-priors utility," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3695-3717, November.
  21. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2013. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," NBER Working Papers 19705, National Bureau of Economic Research, Inc.
  22. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  23. Hansen, Lars Peter & Sargent, Thomas J., 2005. "Robust estimation and control under commitment," Journal of Economic Theory, Elsevier, vol. 124(2), pages 258-301, October.
  24. Brennan, Michael J. & Xia, Yihong, 2001. "Stock price volatility and equity premium," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 249-283, April.
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