This paper intends to deepen understanding of copulas’ role in solving a finance-related problem. Many queries will arise when we explore the theory of copulas; for example, why are copulas significant for researchandanalysisinthisfinancialfield?Toanswer this question, there are two significant reasons for this study. First, it may be used to learn statistical dependence measures with its application in finance, and second, it can be used to create different types of joint distributions. To establish joint distributions, we can use copula to couple marginal distributions of data used in research. The beauty of copula is that it allows us to extract the dependence structure from marginaldistributions jointly. It is useful when studying many variables as it is a multivariate dependence structure