摘要：In this paper we apply MGB2 distribution to price synthetic CDO. MGB2 distribution has flexible dependence structure and it is suitable to model extreme risk. The monotonicity of the spread of equity tranche with respect to some parameter is shown. We compare our model with the onefactor Gaussian, Clayton and double $t$ models. Although our proposed MGB2 model is not flexible enough to produce the implied compound correlation smile, it is much more flexible to produce the patterns of base correlation curve than the others. Besides, concerning base correlation, MGB2 and double $t$ model match the market data better than the Gaussian and Clayton copula models.
关键词：MGB2 distribution; synthetic CDO; correlation smile; base correlation
Loading...
