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Macroeconomic variables and stock market: US review

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  • Sirucek, Martin

Abstract

This focus of this paper are the effect, implication, impact and realtionship between selected macroeconomic variables and wider US indices S&P 500 and industrial Dow Jones Industrial Average (DJIA). Considered are inflation, interest rates, money supply, producer price index, industrial production index, oil price and unemployment and their impact on selected stock indices in the USA between 1999 and 2012. The hypotesis of this paper is, that between selected macroeconomic variables, namely producer price index, industrial production index, oil price and Dow Jones index is strongly relationship than between these factors and S&P 500. The paper is organising as follows. First section reviews the related literature. In section two are materials and methods which are use explained. Section 3 provides the empirical results and the last part presents the conslusions

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 39094.

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Date of creation: 06 Aug 2012
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Handle: RePEc:pra:mprapa:39094

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Keywords: Macroeconomic factors; correlation; cointegration; ADF test;

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References

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  1. Jan Hanousek and Randall K. Filer & Jan Hanousek and Randall K. Filer, 1997. "The Relationship Between Economic Factors and Equity Markets in Central Europe," William Davidson Institute Working Papers Series 78, William Davidson Institute at the University of Michigan.
  2. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
  3. Cheung, Yin-Wong & Ng, Lilian K., 1998. "International evidence on the stock market and aggregate economic activity," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 281-296, September.
  4. Husain, Fazal & Mahmood, Tariq, 1999. "Monetary Expansion and Stock Returns in Pakistan," MPRA Paper 5020, University Library of Munich, Germany.
  5. David M. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," NBER Working Papers 2538, National Bureau of Economic Research, Inc.
  6. Malliaris, A. G. & Urrutia, Jorge L., 1991. "An empirical investigation among real, monetary and financial variables," Economics Letters, Elsevier, vol. 37(2), pages 151-158, October.
  7. Jaffe, Jeffrey F & Mandelker, Gershon, 1976. "The "Fisher Effect" for Risky Assets: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 31(2), pages 447-58, May.
  8. Pearce, Douglas K & Roley, V Vance, 1985. "Stock Prices and Economic News," The Journal of Business, University of Chicago Press, vol. 58(1), pages 49-67, January.
  9. Mukherjee, Tarun K & Naka, Atsuyuki, 1995. "Dynamic Relations between Macroeconomic Variables and the Japanese Stock Market: An Application of a Vector Error Correction Model," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 18(2), pages 223-37, Summer.
  10. Fama, Eugene F. & Schwert, G. William, 1977. "Asset returns and inflation," Journal of Financial Economics, Elsevier, vol. 5(2), pages 115-146, November.
  11. Takeshi Kimura & Takushi Kurozumi, 2003. "Optimal monetary policy in a micro-founded model with parameter uncertainty," Finance and Economics Discussion Series 2003-67, Board of Governors of the Federal Reserve System (U.S.).
  12. Wongbangpo, Praphan & Sharma, Subhash C., 2002. "Stock market and macroeconomic fundamental dynamic interactions: ASEAN-5 countries," Journal of Asian Economics, Elsevier, vol. 13(1), pages 27-51.
  13. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-54, June.
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Cited by:
  1. Majid Delavari & Nadiya Gandali Alikhani & Esmaeil Naderi, 2013. "Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?," International Journal of Economics and Financial Issues, Econjournals, vol. 3(2), pages 466-475.

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