Momentum in strategic asset allocation
Hui Wu,
Chaoqun Ma and
Shengjie Yue
International Review of Economics & Finance, 2017, vol. 47, issue C, 115-127
Abstract:
This paper explores a continuous-time intertemporal consumption and portfolio choice problem for an infinite horizon investor with recursive utility defined over consumption. The investor who tries to exploit momentum is assumed to have access to a risk-free asset and a risky asset whose return exhibits short run momentum. We derive an exact explicit solution and an approximate analytical solution to the dynamic asset allocation problem. We find that the optimal portfolio demand for stocks contains two components: the “momentum-adjusted” myopic demand and the intertemporal hedging demand. When the model is calibrated to Chinese stock market data, it implies that intertemporal hedging demand motives greatly decrease the portfolio demand for stocks by investors whose risk aversion coefficients exceed one when the latest levels of stock returns are non-negative or moderate negative. In addition, hedging motives increase the optimal portfolio when they are sufficiently negative. Also, we find that risk aversion is the main preference parameter in determining portfolio choice rather than the elasticity of intertemporal substitution.
Keywords: Momentum; Strategic asset allocation; Intertemporal hedging demand; Recursive utility (search for similar items in EconPapers)
JEL-codes: G11 G12 G23 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S105905601630209X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:47:y:2017:i:c:p:115-127
DOI: 10.1016/j.iref.2016.10.009
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().