FILTER RULE TESTS OF THE ECONOMIC-SIGNIFICANCE OF SERIAL DEPENDENCIES IN DAILY STOCK RETURNS

In this paper we examine the ability of filter rules to predict variation in expected daily returns for a sample of 120 Dow Jones and S&P 100 stocks from 1963 through 1989. Equally weighted portfolios of filter-rule-traded stocks consistently outperform a buy-and-hold portfolio of the same stocks before accounting for transaction costs. The difference in returns between filter rule and buy-and-hold portfolios is eliminated by one-way transaction costs of 12 basis points. The economic significance of daily stock return autocorrelations is estimated. A marginal 1 percent increase in a first-order autocorrelation increases filter rule returns by an estimated 3.84 percent.