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The effects of macroeconomic shocks on sector-specific returns

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  • Bradley Ewing
  • Shawn Forbes
  • James Payne

Abstract

The reliance on market and sector-specific indexes to evaluate managed portfolios and the popularity of index investing has increased the importance of understanding what leads to market movements, how long they may last, and how different sectors respond to macroeconomic shocks. This research is concerned with how shocks to macroeconomic variables affect five major S&P sector-specific stock market indexes. The paper employs the newly developed econometric technique of generalized impulse response analysis. The results identify the various responses of the sectors to unanticipated changes in some key macroeconomic variables. Asset prices are commonly believed to react sensitively to economic news. Daily experience seems to support the view that individual asset prices are influenced by a wide variety of unanticipated events and that some events have a more pervasive effect on asset prices than do others. (Chen et al. 1986, p. 386)

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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 35 (2003)
Issue (Month): 2 ()
Pages: 201-207

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Handle: RePEc:taf:applec:v:35:y:2003:i:2:p:201-207

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References

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  1. Arturo Estrella & Frederic S. Mishkin, 1996. "Is There a Role for Monetary Aggregates in the Conduct of Monetary Policy?," NBER Working Papers 5845, National Bureau of Economic Research, Inc.
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  6. Friedman, Milton, 1988. "Money and the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 221-45, April.
  7. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  8. Ewing, Bradley T, 2001. "Monetary Policy and Stock Returns," Bulletin of Economic Research, Wiley Blackwell, vol. 53(1), pages 73-79, January.
  9. Aggarwal, Reena & Inclan, Carla & Leal, Ricardo, 1999. "Volatility in Emerging Stock Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(01), pages 33-55, March.
  10. Ewing, Bradley T & Payne, James E & Forbes, Shawn M, 1998. "Co-movements of the Prime Rate, CD Rate, and the S&P Financial Stock Index," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 21(4), pages 469-82, Winter.
  11. Lee, Bong-Soo, 1995. "The Response of Stock Prices to Permanent and Temporary Shocks to Dividends," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(01), pages 1-22, March.
  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. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-21, September.
  14. Ewing, Bradley T., 2001. "Cross-Effects of Fundamental State Variables," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 633-645, October.
  15. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-54, June.
  16. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
  17. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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Citations

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Cited by:
  1. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
  2. Díaz, Antonio & Jareño, Francisco, 2009. "Explanatory factors of the inflation news impact on stock returns by sector: The Spanish case," Research in International Business and Finance, Elsevier, vol. 23(3), pages 349-368, September.
  3. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," MPRA Paper 44395, University Library of Munich, Germany.
  4. Su, Chi-Wei, 2011. "Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests," Economic Modelling, Elsevier, vol. 28(3), pages 845-851, May.
  5. Wang, Zijun & Kutan, Ali M. & Yang, Jian, 2005. "Information flows within and across sectors in Chinese stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 767-780, September.
  6. Hassan, Syed Aun & Malik, Farooq, 2007. "Multivariate GARCH modeling of sector volatility transmission," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 470-480, July.
  7. Tsai, Chun-Li, 2011. "The reaction of stock returns to unexpected increases in the federal funds rate target," Journal of Economics and Business, Elsevier, vol. 63(2), pages 121-138, March.
  8. Ahmed, Walid M.A., 2011. "Comovements and Causality of Sector Price Indices: Evidence from the Egyptian Stock Exchange," MPRA Paper 28127, University Library of Munich, Germany.

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