Optimal Time Series Momentum


Autoria(s): He, Xue-Zhong; Li, Kai; Li, Youwei
Data(s)

01/10/2014

Resumo

We develop a continuous-time asset price model to capture the timeseries momentum documented recently. The underlying stochastic delay differentialsystem facilitates the analysis of effects of different time horizons used bymomentum trading. By studying an optimal asset allocation problem, we find thatthe performance of time series momentum strategy can be significantly improvedby combining with market fundamentals and timing opportunity with respect tomarket trend and volatility. Furthermore, the results also hold for different timehorizons, the out-of-sample tests and with short-sale constraints. The outperformanceof the optimal strategy is immune to market states, investor sentiment andmarket volatility.

Identificador

http://pure.qub.ac.uk/portal/en/publications/optimal-time-series-momentum(14818bd0-e9ef-49cc-9842-880489cf5df4).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

He , X-Z , Li , K & Li , Y 2014 ' Optimal Time Series Momentum ' QUMS WORKING PAPER SERIES (Finance) , no. Working Paper FIN 14 - 10 .