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Structural VAR identification in asset markets using short-run market inefficiencies

  • Gultekin Isiklar

    (State University of New York at Albany)

We impose a structure on the short-run market inefficiencies in the asset markets and use this structure to identify a structural vector autoregressive model. This novel identification method is based on more reasonable assumptions than the standard approaches and also gives estimates for inefficiency measures in the markets, which are important on their own. Applying our method on the major European stock markets, we find that while the UK shocks were dominant in Europe until 1999, German innovations have been more important since 1999. We also find that the pattern of inefficiencies are consistent with the rational inattention model of Sims (2003).

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File URL: http://128.118.178.162/eps/em/papers/0501/0501001.pdf
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Paper provided by EconWPA in its series Econometrics with number 0501001.

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Length: 25 pages
Date of creation: 01 Jan 2005
Date of revision: 02 Jan 2005
Handle: RePEc:wpa:wuwpem:0501001
Note: Type of Document - pdf; pages: 25
Contact details of provider: Web page: http://128.118.178.162

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  1. Andrew W. Lo & A. Craig MacKinlay, 1987. "Stock Market Prices Do Not Follow Random Walks: Evidence From a Simple Specification Test," NBER Working Papers 2168, National Bureau of Economic Research, Inc.
  2. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
  3. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  4. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-73, September.
  5. Lucio Sarno & Daniel L. Thornton, 2004. "The efficient market hypothesis and identification in structural VARs," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 49-60.
  6. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 36-58.
  7. Eun, Cheol S. & Shim, Sangdal, 1989. "International Transmission of Stock Market Movements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 241-256, June.
  8. Matthew D. Shapiro & Mark W. Watson, 1988. "Sources of Business Cycle Fluctuations," NBER Working Papers 2589, National Bureau of Economic Research, Inc.
  9. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
  10. Jon Faust & Eric Swanson & and Jonathan H. Wright, 2002. "Identifying vars based on high frequency futures data," International Finance Discussion Papers 720, Board of Governors of the Federal Reserve System (U.S.).
  11. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
  12. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
  13. Chen, Gong-meng & Firth, Michael & Meng Rui, Oliver, 2002. "Stock market linkages: Evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 26(6), pages 1113-1141, June.
  14. Knif, Johan & Pynnonen, Seppo, 1999. "Local and global price memory of international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 129-147, April.
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