On construction of random variables with prescribed marginal distributions and correlation coefficients

In this paper we propose a generalized extension of the trivariate reduction method for exact generation of variables with prespecified marginal distributions and the correlation coefficient (positive or negative). We compare the new algorithm to several common approaches, with a particular emphasis on the copula-based ones, and discuss its benefits and limitations.