This post was originally published on August 22, 2007.  It has been republished from a previous version of the site.

The Omega Measure is a popular fund evaluation tool, allowing traditional economic decision theory to guide asset allocators.  Assets can be compared either at specific return thresholds or across a whole range of desired of returns.  Though typically used to evaluate fund-of-fund managers’ performance, I have here applied the Omega ratio to the ETF and CEF market at various specific thresholds.

Details:

As the Omega measure at a given return threshold is calculated on the Omega function, defined to be homeomorphic to cumulative return density functions, I have used the intuitive upper / lower partial moment method of calculation.  The thresholds used are no return (0), the average SPY return, the average IWM return, and twice the average IWM return.  I have weighted each return threshold thusly: 10% for 0 return, 50% for SPY return, 30% for IWM return, 10% for double IWM return.  To be fair, I have used only ETFs and CEFs that have traded at least 250 periods, and thus only 250 periods for each.

Symbol K=0 K=SPY K=IWM K=2*IWM Score
PMH 1.81 1.72 1.3 0.95 1.7
IAH 1.45 1.43 1.32 1.2 1.52
MXE 1.37 1.36 1.32 1.27 1.48
ITA 1.41 1.39 1.28 1.16 1.47
SHY 1.98 1.67 0.71 0.27 1.47
PPA 1.4 1.38 1.26 1.13 1.46
ASG 1.39 1.37 1.25 1.12 1.45
IXP 1.38 1.36 1.25 1.13 1.44
TTH 1.36 1.34 1.23 1.11 1.42
USA 1.37 1.34 1.2 1.06 1.41
PGJ 1.32 1.31 1.25 1.18 1.41
FXI 1.31 1.3 1.25 1.19 1.41
GGT 1.35 1.33 1.22 1.09 1.41
APB 1.31 1.3 1.24 1.17 1.4
CII 1.36 1.33 1.2 1.05 1.4
IHI 1.35 1.32 1.19 1.05 1.39
GAB 1.34 1.31 1.19 1.06 1.39
VOX 1.32 1.3 1.19 1.07 1.38
WMH 1.31 1.29 1.2 1.09 1.38
EWG 1.31 1.29 1.2 1.1 1.38