This article investigates the trade-off between an extension of the standard three-factor model including a new volatility factor compared to a parsimonious Markov switching model in the context of performance and risk analysis for a set of popular alternative beta strategies. The authors use Bayesian techniques to estimate a two-state (bull and bear) regime-switching model. Over the period of 1969–2014, they show that the inclusion of a time-varying feature in the standard model is as good as the extension of the volatility factor, at least in explaining the alphas for some alternative beta strategies.

The robustness of the volatility factor: linear versus nonlinear factor model

Guidolin, Massimo;
2017

Abstract

This article investigates the trade-off between an extension of the standard three-factor model including a new volatility factor compared to a parsimonious Markov switching model in the context of performance and risk analysis for a set of popular alternative beta strategies. The authors use Bayesian techniques to estimate a two-state (bull and bear) regime-switching model. Over the period of 1969–2014, they show that the inclusion of a time-varying feature in the standard model is as good as the extension of the volatility factor, at least in explaining the alphas for some alternative beta strategies.
2017
2017
De Franco, Carmine; Guidolin, Massimo; Monnier, Bruno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/4001939
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