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Simple VARs cannot approximate Markov switching asset allocation decisions: an out-of-sample assessment

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Publication:1927136
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DOI10.1016/j.csda.2010.10.006zbMath1254.91710OpenAlexW2006713912MaRDI QIDQ1927136

Massimo Guidolin, Stuart Hyde

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.10.006


zbMATH Keywords

Markov switchingpredictabilitystrategic asset allocationout-of-sample performancevector autoregressive models


Mathematics Subject Classification ID

Portfolio theory (91G10)


Related Items

Can long-run dynamic optimal strategies outperform fixed-mix portfolios? Evidence from multiple data sets ⋮ Asset allocation with correlation: a composite trade-off ⋮ Portfolio selection in a data-rich environment



Cites Work

  • Stock and bond return predictability: the discrimination power of model selection criteria
  • Forecast comparison of principal component regression and principal covariate regression
  • Asset allocation under multivariate regime switching
  • Strategic asset allocation
  • Intradaily dynamic portfolio selection
  • Hypothesis Testing When a Nuisance Parameter is Present Only Under the Alternative
  • Business cycle asymmetries in stock returns: evidence from higher order moments and conditional densities
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