Fuzzy inference system for determining the risk profile of investors in the Colombian financial system
DOI:
https://doi.org/10.18041/1909-2458/ingeniare.33.9735Keywords:
fuzzy logic, risk profile, preferences, investor, financial systemAbstract
Financial institutions determine the risk profile of investors through surveys that oversimplify the complexity of individual preferences, which limits the portfolio of these institutions. Thus arises the need to use alternative methods to provide greater relevance in the portfolios offered by the financial system. In this sense, the starting point is the following question: how to structure a system to more adequately determine the risk profile of investors? In response, this research develops a methodological proposal based on fuzzy logic, according to which investors are categorized within non-discrete risk scales, considering the vagueness and heterogeneity in the characteristics of each individual. The results show that the proposed fuzzy inference system potentially improves the risk profile classification, capturing the particularities of the investor.
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