z-logo
open-access-imgOpen Access
Asset allocation: can technical analysis add value?
Author(s) -
Guofu Zhou,
Yingzi Zhu,
Sheng Qiang
Publication year - 2012
Publication title -
international journal of portfolio analysis and management
Language(s) - English
Resource type - Journals
eISSN - 2048-237X
pISSN - 2048-2361
DOI - 10.1504/ijpam.2012.046908
Subject(s) - value (mathematics) , asset (computer security) , asset allocation , business , computer science , finance , portfolio , computer security , machine learning
In this paper, we propose a simple approach to for exploiting optimally the information provided by technical analysis. Our optimal asset allocation strategy is easy to apply in practice and is quite robust to model misspecifications. Empirically, we apply the strategy to the US stock market from January 1926 to March 2011. In addition, we also examine strategy’s performances during the recent financial crisis as well as over all the bear markets of the past 85 years. We find that the proposed strategy outperforms the usual fixed asset allocation strategy substantially, and does extremely well during the recent financial crisis.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom