Arbeitspapier

Regime shifts in mean-variance efficient frontiers: Some international evidence

Regime switching models have been assuming a central role in financial applications because of their well-known ability to capture the presence of rich non-linear patterns in the joint distribution of asset returns. This paper examines how the presence of regimes in means, variances, and correlations of asset returns translates into explicit dynamics of the Markowitz mean-variance frontier. In particular, the paper shows both theoretically and through an application to international equity portfolio diversification that substantial differences exist between bull and bear regime-specific frontiers, both in statistical and in economic terms. Using Morgan Stanley Capital International (MSCI) investable indices for five countries/macro-regions, it is possible to characterize the mean-variance frontiers and optimal portfolio strategies in bull periods, in bear periods, and in periods where high uncertainty exists on the nature of the current regime. A recursive back-testing exercise shows that between 1998 and 2010, adopting a switching mean-variance strategy may have yielded considerable risk-adjusted payoffs, which are the largest in correspondence to the 2007-2009 financial crisis.

Sprache
Englisch

Erschienen in
Series: Manchester Business School Working Paper ; No. 609

Klassifikation
Wirtschaft
Forecasting Models; Simulation Methods
Asset Pricing; Trading Volume; Bond Interest Rates
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Thema
multivariate Markov switching
mean-variance optimization
asset allocation
international portfolio diversification.

Ereignis
Geistige Schöpfung
(wer)
Guidolin, Massimo
Ria, Federica
Ereignis
Veröffentlichung
(wer)
The University of Manchester, Manchester Business School
(wo)
Manchester
(wann)
2010

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Guidolin, Massimo
  • Ria, Federica
  • The University of Manchester, Manchester Business School

Entstanden

  • 2010

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