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Cointegrating Relationships between Stock Market Indices and Economic Activity: Evidence from US Data

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  • David McMillan
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    Abstract

    Recent empirical evidence suggests that stock market returns are predictable from a variety of financial and macroeconomic variables. However, with a few exceptions relatively little evidence exists examining the presence of a long-run relationship between these variables. The present paper extends this research by considering whether a cointegrating vector exists between stock market indices and industrial production, inflation, money supply and interest rates. The results suggest positive evidence of cointegration between both S&P500 and DJIA indices and macroeconomic activity variables. The established relationship is positive and significant for industrial production and inflation, negative and significant for long-term interest rates, and negative but insignificant for money supply and short-term interest rates,. These results are consistent with the belief that changes in output which affect expected future cash flows have a positive affect on stock prices, that stocks act as an inflation hedge and that changes in the discount rate have an inverse effect on prices. Variance decompositions show that long-term rates explain a substantial amount of variability in stock prices, whilst short-term rates, industrial production and inflation also have some explanatory power.

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    Bibliographic Info

    Paper provided by Centre for Research into Industry, Enterprise, Finance and the Firm in its series CRIEFF Discussion Papers with number 0104.

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    Date of creation: Feb 2001
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    Handle: RePEc:san:crieff:0104

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    Cited by:
    1. Andreas Humpe & Peter Macmillan, 2007. "Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan," CDMA Working Paper Series, Centre for Dynamic Macroeconomic Analysis 200720, Centre for Dynamic Macroeconomic Analysis.

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