PT  - JOURNAL ARTICLE
AU  - Edward Qian
TI  - Tactical Asset Allocation with Pairwise Strategies
AID  - 10.3905/jpm.2003.319918
DP  - 2003 Oct 31
TA  - The Journal of Portfolio Management
PG  - 39--48
VI  - 30
IP  - 1
4099  - https://pm-research.com/content/30/1/39.short
4100  - https://pm-research.com/content/30/1/39.full
AB  - An alternative approach to quantitative tactical asset allocation (TAA) is based on time series forecasting models and mean-variance optimization. The central concept is pairwise TAA, and the correct metric for assessing forecast quality is the pairwise information coefficient. TAA using mean-variance optimization is generally equivalent to a linear combination of pairwise TAA, with the relative weights of the pairs in the combination directly connected to the covariance matrix used in the optimization. TAA managers should avoid using a covariance matrix without knowing its implied pairwise weights, but instead should use pairwise information to influence the choice of the pairwise weights. The expected long-term performance of TAA strategies for a given set of pairwise weights as well as optimal sets of pairwise combinations that attain the maximum information ratio is also derived.