By: |
Mototsugu Shintani (Department of Economics, Vanderbilt University, and Economist, Institute for Monetary and Economic Studies, Bank of Japan (E-mail: mototsugu.shintani@vanderbilt.edu, mototsugu.shintani@boj.or.jp));
Tomoyoshi Yabu (Assistant Professor, Graduate School of Systems and Information Engineering, University of Tsukuba (E-mail: tyabu@sk.tsukuba.ac.jp));
and Daisuke Nagakura (Economist, Institute for Monetary and Economic Studies, Bank of Japan (E-mail: daisuke.nagakura@boj.or.jp)) |
Abstract: |
This paper investigates the spurious effect in forecasting asset returns when
signals from technical trading rules are used as predictors. Against economic
intuition, the simulation result shows that, even if past information has non
predictive power, buy or sell signals based on the difference between the
short-period and long-period moving averages of past asset prices can be
statistically significant when the forecast horizon is relatively long. The
theory implies that both e momentumf and econtrarianf strategies can be
falsely supported, while the probability of obtaining each result depends on
the type of the test statistics employed. Several modifications to these test
statistics are considered for the purpose of avoiding spurious regressions.
They are applied to the stock market index and the foreign exchange rate in
order to reconsider the predictive power of technical trading rules. |
Keywords: |
Efficient market hypothesis, Nonstationary time series, Random walk, Technical analysis |
JEL: |
C12 C22 C25 G11 G15 |
Date: |
2008–06 |
URL: |
http://d.repec.org/n?u=RePEc:ime:imedps:08-e-9&r=mst |