Research on OMI Feature Scoring and Statistical Decision Rule with Regard to Investor's Risk Preference

Because of the financial turmoil,investors have become increasingly cautious,which makes financial institutions eager to sell their financial products to the right customers.Under normal circumstances,profits is directly proportional to the risks,but not everyone can stand highrisk,so to identify the right customers,we need to know the risk preferences of investors.To do this,investors must be divided into different types according to their risk preference reflected by a collection of relevant information of investors.Based on an investor questionnaire,makes use of the OMI algorithm to solve the problem of feature scoring,making the score positively correlated with the risk preference;after that,Kruskal-Wallis test is used to find the feature combinations that significantly impact the investor's risk preference,resulting in the ultimate decision rules.