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The efficient market hypothesis and identification in structural VARs

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  • Lucio Sarno
  • Daniel L. Thornton

Abstract

Structural vector autoregression (SVAR) models are commonly used to investigate the effect of structural shocks on economic variables. The identifying restrictions imposed in many of these exercises have been criticized in the literature. This paper extends this literature by showing that, if the SVAR includes one or more variables that are efficient in the strong form of the efficient market hypothesis, the identifying restrictions frequently imposed in SVARs cannot be satisfied. The authors argue that this analysis will likely apply to VARs that include variables that are consistent with weaker forms of the efficient market hypothesis, especially when the data are measured at the monthly or quarterly frequencies, as is frequently the case.

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Bibliographic Info

Article provided by Federal Reserve Bank of St. Louis in its journal Review.

Volume (Year): (2004)
Issue (Month): Jan ()
Pages: 49-60

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Handle: RePEc:fip:fedlrv:y:2004:i:jan:p:49-60:n:v.86no.1

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Keywords: Macroeconomics ; Econometric models;

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References

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  1. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
  2. Thornton, Daniel L., 2001. "The Federal Reserve's operating procedure, nonborrowed reserves, borrowed reserves and the liquidity effect," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1717-1739, September.
  3. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," Cowles Foundation Discussion Papers 870, Cowles Foundation for Research in Economics, Yale University.
  4. Pesaran, M. H., 1981. "Identification of rational expectations models," Journal of Econometrics, Elsevier, vol. 16(3), pages 375-398, August.
  5. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
  6. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
  7. Sarno, Lucio & Thornton, Daniel L., 2003. "The dynamic relationship between the federal funds rate and the Treasury bill rate: An empirical investigation," Journal of Banking & Finance, Elsevier, vol. 27(6), pages 1079-1110, June.
  8. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
  9. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
  10. Arturo Extrella & Jeffrey C. Fuhrer, 1998. "Dynamic inconsistencies: counterfactual implications of a class of rational expectations models," Working Papers 98-5, Federal Reserve Bank of Boston.
  11. V. Vance Roley & Carl E. Walsh, 1983. "Monetary Policy Regimes, Expected Inflation, and the Response of Interest Rates to Money Announcements," NBER Working Papers 1181, National Bureau of Economic Research, Inc.
  12. Olivier J. Blanchard & Mark W. Watson, 1987. "Are Business Cycles All Alike?," NBER Working Papers 1392, National Bureau of Economic Research, Inc.
  13. Garfinkel, Michelle R & Thornton, Daniel L, 1995. "The Information Content of the Federal Funds Rate: Is It Unique?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 838-47, August.
  14. Wallis, Kenneth F, 1980. "Econometric Implications of the Rational Expectations Hypothesis," Econometrica, Econometric Society, vol. 48(1), pages 49-73, January.
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Cited by:
  1. Gultekin Isiklar, 2005. "Structural VAR identification in asset markets using short-run market inefficiencies," Econometrics 0501001, EconWPA, revised 02 Jan 2005.
  2. Ida Wolden Bache, 2006. "Assessing the structural VAR approach to exchange rate pass-through," Computing in Economics and Finance 2006 309, Society for Computational Economics.
  3. Juvenal, Luciana, 2011. "Sources of exchange rate fluctuations: Are they real or nominal?," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 849-876, September.
  4. Marcel Fratzscher & Luciana Juvenal & Lucio Sarno, 2008. "Asset prices, exchange rates and the current account," Working Papers 2008-031, Federal Reserve Bank of St. Louis.
  5. Andreas Lehnert & Wayne Passmore & Shane Sherlund, 2008. "GSEs, Mortgage Rates, and Secondary Market Activities," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 343-363, April.
  6. Marco Lippi & Daniel L. Thornton, 2004. "A dynamic factor analysis of the response of U. S. interest rates to news," Working Papers 2004-013, Federal Reserve Bank of St. Louis.

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