AbstractWhat determines the frequency domain properties of a stochastic process? How much risk comes from high frequencies, business cycle frequencies or low frequency swings? If these properties are under the influence of an agent, who is compensated by a principal according to the distribution of risk across frequencies, then the nature of this contracting problem will affect the spectral properties of the endogenous outcome. We imagine two thought experiments: in the first, the principal (or “regulator”) is myopic with regard to certain frequencies—he is characterized by a filter—and the agent (“bank”) chooses to hide risk by shifting power from frequencies to which the regulator is attuned to those to which he is not. Thus, the regulator is fooled into thinking there has been an overall reduction in risk when, in fact, there has simply been a frequency shift. In the second thought experiment, the regulator is not myopic, but simply cares more about risk from certain frequencies, perhaps due to the preferences of the constituents he represents or because certain types of market incompleteness make certain frequencies of risk more damaging. We model this intuition by positing a filter design problem for the agent and also by a particular type of portfolio selection problem, in which the agent chooses among investment projects with different spectral properties. We discuss implications of these models for macroprudential policy and regulatory arbitrage.
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Bibliographic InfoPaper provided by Federal Reserve Bank of San Francisco in its series Working Paper Series with number 2013-29.
Date of creation: 2013
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- Deaton, A., 1989.
"Saving And Liquidity Constraints,"
153, Princeton, Woodrow Wilson School - Public and International Affairs.
- 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.
- Bowden, Roger J, 1977. "Spectral Utility Functions and the Design of a Stationary System," Econometrica, Econometric Society, vol. 45(4), pages 1007-12, May.
- Hansen, Lars Peter & Sargent, Thomas J., 1993. "Seasonality and approximation errors in rational expectations models," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 21-55.
- Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
- Alvarez, Fernando & Jermann, Urban J., 2000.
"Using Asset Prices to Measure the Cost of Business Cycles,"
00-1, University of Pennsylvania, Wharton School, Weiss Center.
- Fernando Alvarez & Urban J. Jermann, 2004. "Using Asset Prices to Measure the Cost of Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1223-1256, December.
- Fernando Alvarez & Urban J. Jermann, 2000. "Using Asset Prices to Measure the Cost of Business Cycles," NBER Working Papers 7978, National Bureau of Economic Research, Inc.
- Alvarez, F. & Jermann, U.J., 2000. "Using Asset Prices to Measure the Cost of Business Cycles," Weiss Center Working Papers 00-1, Wharton School - Weiss Center for International Financial Research.
- Christopher Otrok, 2000.
"On Measuring the Welfare Cost of Business Cycles,"
Econometric Society World Congress 2000 Contributed Papers
1094, Econometric Society.
- Greg Kaplan & Giovanni L. Violante, 2009.
"How Much Consumption Insurance Beyond Self-Insurance?,"
NBER Working Papers
15553, National Bureau of Economic Research, Inc.
- Greg Kaplan & Giovanni L. Violante, 2010. "How Much Consumption Insurance beyond Self-Insurance?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 53-87, October.
- Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-47, July-Sept.
- Tauchen, George, 1986. "Finite state markov-chain approximations to univariate and vector autoregressions," Economics Letters, Elsevier, vol. 20(2), pages 177-181.
- William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008.
"Design Limits and Dynamic Policy Analysis,"
NBER Working Papers
14357, National Bureau of Economic Research, Inc.
- Taub, Bart, 1989. "Dynamic consistency of insurance contracts under enforcement by exclusion," Journal of Economic Dynamics and Control, Elsevier, vol. 13(1), pages 93-112, January.
- Crowley , Patrick M & Hughes Hallett, Andrew, 2011. "The great moderation under the microscope: decomposition of macroeconomic cycles in US and UK aggregate demand," Research Discussion Papers 13/2011, Bank of Finland.
- Otrok, Christopher & Ravikumar, B. & Whiteman, Charles H., 2007. "A generalized volatility bound for dynamic economies," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2269-2290, November.
- Whiteman, Charles H., 1985. "Spectral utility, wiener-hopf techniques, and rational expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 9(2), pages 225-240, October.
- Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
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