Wavelet analysis has been used for copula density estimation. This paper highlights the usefulness of the compact support and orthogonal wavelet in order to approximate copula density functions. Our method involves high approximation order properties rather than other previous methods such as kernel and orthonormal series method. Finally, we apply our proposed method to approximate the copula density between Norwegian stock index and MSCI world stock index.
