Can we forecast better in periods of low uncertainty? The role of technical indicators

Fernandez, Maria Ferrer, Henry, Olan, Pybis, Sam and Stamatogiannis, Michalis P ORCID: 0000-0002-7283-7550 (2023) Can we forecast better in periods of low uncertainty? The role of technical indicators. JOURNAL OF EMPIRICAL FINANCE, 71. pp. 1-12.

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Official URL: http://dx.doi.org/10.1016/j.jempfin.2022.12.014

Abstract

We examine the importance of periods of high versus low financial uncertainty when forecasting stock market returns with technical predictors. Our results suggest that technical predictors perform better in periods of low financial uncertainty and should be avoided due to poor forecasting performance in periods of heightened uncertainty. In-sample, we report disentangled R2 statistics, and out-of-sample we show these results continue when forecasting the equity risk premium. We show similar results when forecasting the volatility of returns with technical predictors. We measure periods of heightened and low financial uncertainty in a regime switching framework. Overall, our results provide insight into the mechanism that suggests that, when uncertainty rises, investors’ opinions polarize leading to a breakdown of predictability based on technical indicators.

Item Type:	Article
Uncontrolled Keywords:	Forecasting, Stock return predictability, Economic uncertainty, Switching regression
Divisions:	Faculty of Humanities and Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	16 Jan 2023 10:22
Last Modified:	27 Apr 2023 23:46
DOI:	10.1016/j.jempfin.2022.12.014
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3167041