We consider stochastic correlation models that account for the correlation smile in the pricing of synthetic CDO tranches. These can be viewed as tractable extensions of the one-factor Gaussian copula ...
Get your news from a source that’s not owned and controlled by oligarchs. Sign up for the free Mother Jones Daily. In 2000, while working at JPMorgan Chase, Li published a paper in The Journal of ...
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. It’s ba-ack. The formula that famously felled Wall Street. The Gaussian copula — with which banks famously ...
As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...
Copula functions are widely used for modeling multivariate dependence. Since the multivariate data may not necessarily be linear and Gaussian, the copula model is very often brought into the picture ...
Copulas are mathematical tools for modeling joint probability distributions. In the past 60 years they have become an essential analysis tool on classical computers in various fields. The recent ...
MacKenzie is a very smart sociologist, who understands quants and copula functions much more deeply than I ever did. (And, like most journalists, I forgot nearly all of what I ever knew about them ...
In this paper we consider the large homogeneous portfolio (LHP) approximation with a two-factor Gaussian copula and random recovery rate. In addition, we assume that the earlier the default occurs, ...
QUANT models and their architects are so misunderstood, often by people working in finance. It pains me, though I am biased. I spent the better part of a decade devoted to studying elegant (and ...
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