Abstract
Over the past 50 years there have been innovations in the quantitative methods available to rank risky alternatives (mean-variance (MV), first degree stochastic dominance (FSD), and second degree stochastic dominance (SDS)). Two recent innovations, stochastic efficiency with respect to a function (SERF) and StopLight are compared to MV, FSD, and SDS to demonstrate the strengths and weaknesses of each method. The results indicate that SERF and Stoplight are powerful tools that do not suffer from some of the limitations as the other risk ranking methods.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
