Forecasting stock returns an examination of stock market trading in the presence of transaction costs

M. Hashem Pesaran · Allan Timmermann

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Financial Markets and Investment Strategies Forecasting Techniques and Applications Stock Market Forecasting Methods

Abstract

Abstract The paper presents new evidence on the predictability of excess returns on common stocks for the Standard and Poor's 500 and the Dow Jones Industrial portfolios at the monthly, quarterly, and annual frequencies. It shows that recursive predictions obtained on the basis of the excess returns regressions are capable of correctly predicting a statistically significant proportion of the signs of the actual returns. The paper also shows that the switching portfolios constructed on the basis of the signs of the recursive predictions mean‐variance dominate the respective market portfolios when trading takes place on a quarterly or annual basis. This result holds even under a high transaction cost scenario. However, due to the larger number of transactions at the monthly frequency the monthly switching portfolios only mean‐variance dominate the respective market portfolios when transaction costs are zero or low.

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References

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