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Cointegration and Tests of Present Value Models Author info | Abstract | Publisher info | Download info | Related research | Statistics John Y. Campbell (Princeton University)
Robert J. Shiller () (Cowles Foundation, Yale University )
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In a model where a variable Y is proportional to the present value, with constant discount rate, of expected future values of a variable y, the "spread" S - Y - qy will be stationary for some q whether or not y must be differenced to induce stationarity. Thus, Y and y are cointegrated. The model implies that S is proportional to the optimal forecast of S*, the present value of future changes in y. We use vector autoregressive methods, and recent literature on cointegrated processes, to test the model. When Y is the long-term interest rate and y the short-term interest rate, we find in postwar United States data that S behaves much like an optimal forecast of S* even though as earlier research has shown it is negatively correlated with next period's change in Y. When Y is a real stock price index and y the corresponding real dividend, using annual United States data for 1871-1986 we obtain less encouraging results for the model, although the results are sensitive to the assumed discount rate.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
785.
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Length: 41 pages
Date of creation: Mar 1986Date of revision:
Handle: RePEc:cwl:cwldpp:785Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
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Keywords: Cointegration present value methods stock price index interest rates term structure volatility efficient markets Other versions of this item:
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Quantitative Macroeconomics and Real Business Cycles (QM&RBC)
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