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Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model

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Author Info
Tom Engsted
Thomas Q. Pedersen () (School of Economics and Management, University of Aarhus, Denmark and CREATES)

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Abstract

We extend the VAR based intertemporal asset allocation approach from Campbell et al. (2003) to the case where the VAR parameter estimates are adjusted for small- sample bias. We apply the analytical bias formula from Pope (1990) using both Campbell et al.'s dataset, and an extended dataset with quarterly data from 1952 to 2006. The results show that correcting the VAR parameters for small-sample bias has both quantitatively and qualitatively important e¤ects on the strategic intertemporal part of optimal portfolio choice, especially for bonds: for intermediate values of risk-aversion, the intertemporal hedging demand for bonds - and thereby the total demand for bonds - is strongly reduced by the bias-adjustment. We also investigate the robustness of the results by changing the lag-length and one of the state variables of the VAR.

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Publisher Info
Paper provided by School of Economics and Management, University of Aarhus in its series CREATES Research Papers with number 2008-27.

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Length: 37
Date of creation: 28 May 2008
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Handle: RePEc:aah:create:2008-27

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Web page: http://www.econ.au.dk/afn/

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Related research
Keywords: Intertemporal portfolio choice; return predictability; VAR model; small-sample bias;

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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  1. Thomas Q. Pedersen, 2008. "Intertemporal Asset Allocation with Habit Formation in Preferences: An Approximate Analytical Solution," CREATES Research Papers 2008-60, School of Economics and Management, University of Aarhus. [Downloadable!]
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