This paper performs an extensive comparison of cluster techniques for financial applications based on risk measures and returns as classification variables. We consider the largely used in literature. For analysis, we use a database composed daily U.S. equity market. As applications, capital determination, portfolio optimization, asset pricing. found that number clusters varies over years. The ...