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Financial Frictions, Financial Shocks, and Aggregate Volatility

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  • Cristina Fuentes-Albero

    ()

    (Rutgers University, Department of Economics)

Abstract

The two main empirical regularities regarding US postwar nominal and real business cycles are the Great Inflation and the Great Moderation. While the volatility of financial price variables also follows such pattern, financial quantity variables have experienced a continuous immoderation. We examine these patterns in volatility by estimating a DSGE model with financial frictions and financial shocks allowing for structural breaks in the size of shocks and the institutional framework. We conclude that (i ) while the Great Inflation was driven by bad luck, the Great Moderation is mostly due to better financial institutions; (ii ) financial shocks are the main drivers of financial variables, investment, and the nominal interest rate and play a secondary role as drivers of consumption, output, inflation, and hours worked; (iii ) investment-specific technology shocks play an almost negligible role as drivers of the US business cycle. Creation-Date: 2012-02-03

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Paper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number 201201.

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Handle: RePEc:rut:rutres:201201
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Keywords: financial frictions; financial shocks; structural break; Great Moderation; Great Inflation;

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Find related papers by JEL classification:
  • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
  • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
  • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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  1. Gilchrist, Simon & Leahy, John V., 2002. "Monetary policy and asset prices," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 75-97, January.
  2. Urban Jermann & Vincenzo Quadrini, 2006. "Financial Innovations and Macroeconomic Volatility," NBER Working Papers 12308, National Bureau of Economic Research, Inc.
  3. Andrew Levin & Christopher J. Erceg & Dale W. Henderson, 1999. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Computing in Economics and Finance 1999 1151, Society for Computational Economics.
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  6. Andre Kurmann & Julien Champagne, 2010. "The Great Increase in Relative Volatility of Real Wages in the United States," 2010 Meeting Papers 674, Society for Economic Dynamics.
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  9. Robert Townsend, 1979. "Optimal contracts and competitive markets with costly state verification," Staff Report 45, Federal Reserve Bank of Minneapolis.
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  11. White, Michelle J, 1983. " Bankruptcy Costs and the New Bankruptcy Code," Journal of Finance, American Finance Association, vol. 38(2), pages 477-88, May.
  12. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
  13. Ian Christensen & Ali Dib, 2008. "The Financial Accelerator in an Estimated New Keynesian Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(1), pages 155-178, January.
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Cited by:

  1. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2014. "Output Gap in Presence of Financial Frictions and Monetary Policy Trade-offs," IMF Working Papers 14/128, International Monetary Fund.
  2. Adam Gulan & Andres Fernandez, 2012. "Interest Rates and Business Cycles in Emerging Economies.The Role of Financial Frictions," 2012 Meeting Papers 849, Society for Economic Dynamics.
  3. Samad Sarferaz & Francesco Furlanetto & Francesco Furlanetto, 2014. "Identification of Financial Factors in Economic Fluctuations," KOF Working papers 14-364, KOF Swiss Economic Institute, ETH Zurich.

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