Asset allocation with recursive parameter updating and macroeconomic regime identifiers

Arbeitspapier

This article studies long-horizon dynamic asset allocation strategies with recursive parameter updating. The parameter estimates for the regime-switching dynamics vary as more and more datapoints are observed and the sample size increases. In such a setting, the globally optimal portfolio strategy cannot be determined due to computational complexity. Among a set of suboptimal strategies, the portfolio performance can be improved substantially if the dynamics of the regimes are estimated from fundamental macroeconomic instead of financial return data. Especially after highly uncertain times, the estimation based on financial market data identifies extreme regimes, leading to extreme hedging demands against regime changes.

Angaben zum Objekt

• ISBN: 978-3-95729-937-6
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Deutsche Bundesbank Discussion Paper ; No. 06/2023

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Portfolio Choice; Investment Decisions ; Search; Learning; Information and Knowledge; Communication; Belief; Unawareness ; Financial Markets and the Macroeconomy
• Thema: Regime switching models ; asset allocation ; macro-based portfolio strategies ; parameter updating

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Goodarzi, Milad ; Meinerding, Christoph
• Ereignis: Veröffentlichung
• (wer): Deutsche Bundesbank
• (wo): Frankfurt a. M.
• (wann): 2023

Weitere Informationen

• Handle: http://hdl.handle.net/10419/269867
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ