If transitory profitable trading opportunities exist, transaction filters mitigate trading costs. We use a dynamic programming framework to design an optimal filter that maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading...

For U.S. stock prices, evidence of mean reversion over long horizons is mixed, possibly due to lack of a reliable long time series. Using additional cross-sectional power gained from national stock index data of 18 countries during the period 1969 to 1996, we find strong evidence of mean...

A quantity adjustment cost model is developed in the context of international trade along the lines proposed by Krugman (1987). The model implies that prices adjust dynamically to exchange rate fluctuations. The price adjustment speed is determined as a function of foreign demand responsiveness,...

In linear-quadratic control (LQC) problems with singular control cost matrix and/or singular transition matrix, we derive a reduction of the dimension of the Riccati matrix, simplifying iteration and solution. Employing a novel transformation, we show that, under a certain rank condition, the...

If transitory profitable trading opportunities exist, filter rules are used in practice to mitigate transaction costs. The filter size is difficult to determine a priori. Our paper uses a dynamic programming framework to design a filter that is optimal in the sense of maximizing expected returns...