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Macroeconomic news and the returns of financial companies

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  • Bradley T. Ewing

    (Texas Tech University, Lubbock, TX 79409-1014, USA)

Abstract

This research is concerned with the response of the NASDAQ Financial 100 index to macroeconomic news. The paper employs the newly developed technique of generalized impulse response analysis to examine how macroeconomic shocks affect the performance of the financial sector. The results identify the magnitude and persistence of the response of financial companies stock returns arising from shocks to the stance of monetary policy, real output, inflation, and risk. The findings add to the literature on the determinants of financial sector stocks and on the relationship between the stock market and the macroeconomy. Copyright © 2002 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/mde.1093
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics.

Volume (Year): 23 (2002)
Issue (Month): 8 ()
Pages: 439-446

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Handle: RePEc:wly:mgtdec:v:23:y:2002:i:8:p:439-446

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

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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.
  2. Forbes, Shwan M. & Paul, Chris II, 1992. "Modeling the prime rate: An ordered-response approach," International Review of Economics & Finance, Elsevier, vol. 1(2), pages 147-157.
  3. Campbell, John Y & Ammer, John, 1993. " What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
  4. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  5. Ewing, Bradley T., 2001. "Cross-Effects of Fundamental State Variables," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 633-645, October.
  6. Ben S. Bernanke & Alan S. Blinder, 1989. "The federal funds rate and the channels of monetary transmission," Working Papers 89-10, Federal Reserve Bank of Philadelphia.
  7. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  8. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-54, June.
  9. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454, October.
  10. 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.
  11. Strongin, Steven, 1995. "The identification of monetary policy disturbances explaining the liquidity puzzle," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 463-497, June.
  12. 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.
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Cited by:
  1. Wan, Yang & Clutter, Michael L. & Siry, Jacek P. & Mei, Bin, 2013. "Assessing the impact of macroeconomic news on the U.S. forest products industry portfolio across business cycles: 1963–2010," Forest Policy and Economics, Elsevier, vol. 28(C), pages 15-22.
  2. M. Kabir Hassan & William J. Hippler III, 2013. "The Pronounced Impact of Macroeconomic Stress on the Financial Sector: Implications for Real Sector Growth," NFI Working Papers 2013-WP-01, Indiana State University, Scott College of Business, Networks Financial Institute.

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