e-space
Manchester Metropolitan University's Research Repository

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

    Ferrer Fernández, María, Henry, Ólan, Pybis, Sam and Stamatogiannis, Michalis P (2023) Can we forecast better in periods of low uncertainty? The role of technical indicators. Journal of Empirical Finance, 71. pp. 1-12. ISSN 0927-5398

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (744kB) | Preview

    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 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.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    147Downloads
    6 month trend
    44Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record