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Challenges In Identifying And Measuring Systemic Risk

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  • Lars Peter Hansen

    ()
    (University of Chicago)

Abstract

Sparked by the recent "great recession" and the role of financial markets, considerable interest exists among researchers within both the academic community and the public sector in modeling and measuring systemic risk. In this essay I draw on experiences with other measurement agendas to place in perspective the challenge of quantifying systemic risk, or more generally, of providing empirical constructs that can enhance our understanding of linkages between financial markets and the macroeconomy.

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Bibliographic Info

Paper provided by CEMFI in its series Working Papers with number wp2013_1305.

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Date of creation: Jun 2013
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Handle: RePEc:cmf:wpaper:wp2013_1305

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  1. Itzhak Gilboa & Andrew Postlewaite & David Schmeidler, 2007. "Probabilities in Economic Modeling," PIER Working Paper Archive 07-023, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  2. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  3. Ricardo J. Caballero & Alp Simsek, 2009. "Fire Sales in a Model of Complexity," NBER Working Papers 15479, National Bureau of Economic Research, Inc.
  4. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
  5. Lars Peter Hansen, 2007. "Beliefs, Doubts and Learning: Valuing Macroeconomic Risk," American Economic Review, American Economic Association, vol. 97(2), pages 1-30, May.
  6. Thomas J. Sargent & LarsPeter Hansen, 2001. "Robust Control and Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 60-66, May.
  7. Admati, Anat R. & DeMarzo, Peter M. & Hellwig, Martin F. & Pfleiderer, Paul, 2010. "Fallacies, Irrelevant Facts, and Myths in the Discussion of Capital Regulation: Why Bank Equity Is Not Expensive," Research Papers 2065, Stanford University, Graduate School of Business.
  8. I. Gilboa & A. W. Postlewaite & D. Schmeidler., 2009. "Probability and Uncertainty in Economic Modeling," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
  9. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
  10. Timothy Cogley & Riccardo Colacito & Lars Peter Hansen & Thomas J. Sargent, 2008. "Robustness and U.S. Monetary Policy Experimentation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1599-1623, December.
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Cited by:
  1. Friedman, Daniel & Isaac, R. Mark & James, Duncan & Sunder, Shyam, 2014. "Risky Curves: On the Empirical Failure of Expected Utility," Santa Cruz Department of Economics, Working Paper Series qt87v8k86z, Department of Economics, UC Santa Cruz.
  2. Marcelo Bianconi & Xiaxin Hua & Chih Ming Tan, 2013. "Determinants of Systemic Risk and Information Dissemination," Working Paper Series 67_13, The Rimini Centre for Economic Analysis.
  3. Jaromir Benes & Michael Kumhof & Douglas Laxton, 2014. "Financial Crises in DSGE Models: Selected Applications of MAPMOD," IMF Working Papers 14/56, International Monetary Fund.
  4. Rita Basto, 2013. "A Macro-prudential Policy for Financial Stability," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.

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