A new test of asset return predictability with an unstable predictor

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초록

This study constructs predictive regressions in which the predictable variable exhibits a level shift at some unknown date. We establish novel procedures to test asset return predictability via empirical likelihood (EL) methods based on weighted score equations. Monte Carlo simulations confirm that the EL-based tests perform well in terms of size and power in finite samples. © 2020 Elsevier B.V.

키워드

Autoregressive processEmpirical likelihoodLevel shiftLocal-to-unityWeighted estimation
제목
A new test of asset return predictability with an unstable predictor
저자
Chang, S.Y.
DOI
10.1016/j.econlet.2020.109529
발행일
2020-11
유형
Article
저널명
Economics Letters
196