期刊名称：International Business & Economics Research Journal
印刷版ISSN：1535-0754
电子版ISSN：2157-9393
出版年度：2011
卷号：7
期号：11
语种：English
出版社：The Clute Institute for Academic Research
摘要：This study examines the ability of simple moving averages to forecast security returns. Five moving average variants are used to develop a forecasting model using OLS regression for the DJIA, NASDAQ, TSX and CAD-US exchange rate. The forecasting model is compared to the random-walk model without a drift and tested out-of-sample. The results suggest that the moving averages have no predictive ability on the four indices at a 1 day lag. However, the moving averages explain approximately 45% to 48% of the variation in the returns in the following 10 days and clearly outperform the random-walk model. Most of the forecasting ability is derived from the MA (5, 150). Hurst Statistic estimation is used to confirm the long-term dependencies in the lag 10 data set.
