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Challenges in Identifying and Measuring Systemic Risk

In: Risk Topography: Systemic Risk and Macro Modeling

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  • Lars Peter Hansen

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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This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 12507.

Handle: RePEc:nbr:nberch:12507

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  1. Anat R. Admati & Peter M. DeMarzo & Martin F. Hellwig & Paul Pfleiderer, 2010. "Fallacies, Irrelevant Facts, and Myths in the Discussion of Capital Regulation: Why Bank Equity is Not Expensive," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2010_42, Max Planck Institute for Research on Collective Goods.
  2. Lars Peter Hansen, 2007. "Beliefs, Doubts and Learning: Valuing Macroeconomic Risk," American Economic Review, American Economic Association, vol. 97(2), pages 1-30, May.
  3. Alp Simsek & Ricardo Caballero, 2010. "Fire Sales in a Model of Complexity," 2010 Meeting Papers 620, Society for Economic Dynamics.
  4. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
  5. 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.
  6. 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.
  7. 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.
  8. Thomas J. Sargent & LarsPeter Hansen, 2001. "Robust Control and Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 60-66, May.
  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. Itzhak Gilboa & Andrew W. Postlewaite & David Schmeidler, 2008. "Probability and Uncertainty in Economic Modeling," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 173-88, Summer.
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Cited by:
  1. 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.
  2. 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.
  3. 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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