Abstract

The use of stochastic dominance has become common in finance and economics. As a theoretical device it is used to define a preference relation on a set of decision alternatives, thereby reducing the number of these alternatives which must be considered further by the decision-maker. However, in practice, data must be collected to estimate probability distributions. The paper discusses the errors which may result and the computation of their probabilities. The connection with statistical hypothesis testing is discussed.

Full Text
Published version (Free)

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