A Frequency-Domain Alternative to Long-Horizon Regressions with Application to Return Predictability

by Sabrina I. Pacifici on July 26, 2013

“This paper aims at improved accuracy in testing for long-run predictability in noisy series, such as stock market returns. Long-horizon regressions have previously been the dominant approach in this area. We suggest an alternative method that yields more accurate results. We find evidence of predictability in S&P 500 returns even when the con fidence intervals are constructed using model-free methods based on sub-sampling.”

Posted in Economy

Previous post:

Next post: