A New Dividend Forecasting Procedure That Rejects Bubbles in Asset Prices: The Case of 1929's Stock Crash
AbstractWe develop a new procedure to forecast future cash flows from a financial asset and then use the present value of our cash flow forecasts to calculate the asset's fundamental price. As an example, we construct a nonlinear ARMA-ARCH-Artificial Neural Network Model to obtain out-of-sample dividend forecasts for 1920 and beyond, using only in-sample dividend data. The present value of our forecasted dividends yield fundamental prices that reproduce the magnitude, timing, and time-series behavior of the boom and crash in 1929 stock prices. We therefore reject the popular claim that the 1920s stock market contained a bubble. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.
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Bibliographic InfoArticle provided by Society for Financial Studies in its journal Review of Financial Studies.
Volume (Year): 9 (1996)
Issue (Month): 2 ()
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