Comparison of Different Copula Assumptions and Their Application in Portfolio Construction

Article deals with modelling of mutual dependencies among financial assets. Its aim is to investigate the impacts of different copula assumptions on optimal portfolios, when CVaR optimization is used. Strategic asset allocation perspective is supposed. It is demonstrated that copula functions enable to separate the modelling of dependency features of financial assets from the modelling of marginal distribution characteristics, in context of practical portfolio construction tasks. The difference between portfolios constructed using normal copula and student t copula is showed when mutual or pension fund exposed to long only constrain is assumed. The fund is considered to invest solely into equity and fixed – income instruments. As expected, the exclusive use of linear correlation coefficients leads to underestimation of total portfolio risk. The superiority of student t copula portfolios intensifies as the confidence level of CVaR raises and/or as the CVaR target increases