Explaining and Predicting Momentum Performance Shifts Across Time and Sectors

ABSTRACT In this paper, we analyze the momentum of the NASDAQ and its major sectoral components across an extended period of key economic events, which include recessions, expansions, wars, financial crises, and the Covid‐19 health crisis. We seek to explain how momentum works as an investment strategy during different economic conditions and whether understanding how it works in‐sample can contribute to the out‐of‐sample forecasting of future financial performance. The novelty of our approach rests in the identification and exploitation of momentum characteristics that lead to the ranking of sectors depending on the period of economic activity that we are in. These rankings are tested and found to be robust for the in‐sample and the out‐of‐sample forecasting of financial performance, thus leading us to surmise that one can use the identification of past economic conditions to extrapolate for investing accordingly in the future. Our results indicate that this suggested approach works very well in practice and is, thus, a viable and fully interpretable investment strategy.

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Publication Details

Journal
Journal of Forecasting
Published
2024-11-26
DOI
https://doi.org/10.1002/for.3232
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.54
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article

Explaining and Predicting Momentum Performance Shifts Across Time and Sectors

Prodromos Vlamis, Dimitrios D. Thomakos, Konstantinos Mamais
1 citations
Journal of Forecasting
Financial Markets and Investment Strategies
0.54
article

Explaining and Predicting Momentum Performance Shifts Across Time and Sectors

Prodromos Vlamis, Dimitrios D. Thomakos, Konstantinos Mamais
article en
1 citations

Abstract

ABSTRACT In this paper, we analyze the momentum of the NASDAQ and its major sectoral components across an extended period of key economic events, which include recessions, expansions, wars, financial crises, and the Covid‐19 health crisis. We seek to explain how momentum works as an investment strategy during different economic conditions and whether understanding how it works in‐sample can contribute to the out‐of‐sample forecasting of future financial performance. The novelty of our approach rests in the identification and exploitation of momentum characteristics that lead to the ranking of sectors depending on the period of economic activity that we are in. These rankings are tested and found to be robust for the in‐sample and the out‐of‐sample forecasting of financial performance, thus leading us to surmise that one can use the identification of past economic conditions to extrapolate for investing accordingly in the future. Our results indicate that this suggested approach works very well in practice and is, thus, a viable and fully interpretable investment strategy.

Journal of ForecastingVol. 44(3)
University of Piraeus (GR), National and Kapodistrian University of Athens (GR)
Decent work and economic growth
Openalex Percentile: Top 28%
Financial Markets and Investment Strategies
0.54
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