CRIEFF Discussion Paper Number 0511


Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan.

Andreas Humpe* (CRIEFF, University of St Andrews) and Peter D. Macmillan (University of St Andrews)

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Abstract
The main objective of this paper is to examine whether a standard discounted value model is capable of explaining aggregate long term stock market movements in the US and Japan. An emphasis on the comparison between the relationships between selected macroeconomic variables based on the discounted value model and the stock market will reveal commonalities and differences between the US and Japanese long term stock market movements. Therefore, a cointegration analysis is applied to model the long term relationship between industrial production, the consumer price index, money supply, short as well as long term interest rates and the stock prices in the US and Japan. The results suggest a positive relationship between industrial production, CPI and short rates while the long rates yield a negative coefficient for the US stock market. In Japan, industrial production has a much smaller positive coefficient as in the US while the CPI shows a much higher positive coefficient than in the US. Generally, the results are consistent with the belief that changes in industrial output are likely to affect current and future corporate cash flows and have a positive effect on the stock market. The strong negative relationship between interest rates and the equity market, as suggested by theory, is not clear in the analysed data set. An explanation of the different behaviour of the Japanese stock market, especially in respect to interest rates, industrial output and the consumer price index, might be given by the boom and bust of the domestic real estate market and its potentially massive wealth effects as well as the following bad loan crisis due to a price collapse in housing prices.


JEL Classifications
C22; G12; E44

Keywords
Stock Market Indices, Cointegration, Interest Rates


 


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