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Finance Research Letters
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Uncovering the Risk-Return Trade-Off Through Ridge Regressions

Authors: Nuria Alemany; Vicent Aragó; Enrique Salvador;

Uncovering the Risk-Return Trade-Off Through Ridge Regressions

Abstract

Using ridge regressions, we introduce a novel methodology to estimate a time-varying version of the market risk-return trade-off. Our model improves available techniques since it allows for flexible patterns in the relationship and does not need a long span of data or additional state variables to accurately estimate the trade-off. We find that this relationship is positive during almost all the sample but it occasionally turns out negative during deep recessions. Our results may help solve the controversy in the previous literature. Investors, policymakers, and regulators must monitor this relationship to optimise investment, manage risks, and prevent financial instability.

Funding for open access charge: CRUE-Universitat Jaume I

Country
Spain
Related Organizations
Keywords

G19, 10. Reducción de las desigualdades, time-varying parameters, G10, G12, risk-return trade-off, ridge regressions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
hybrid