conditions have the nice interpretation of restricting the level, slope and curvature of the correlation surface. It is proven … that the Schoenmakers-Coffey correlation matrix also brings along such factors. Finally, we formulate and corroborate our … conjecture that the order present in correlation matrices causes slope. …

completely new sequential importance sampling estimator of the desired tail probability. Numerical experiments suggest that the … sequential importance sampling estimator can be significantly more efficient than its competitor. …

correlation MSV model, the conditional/stochastic Wishart autoregressive models, the matrix-exponential MSV model, and the … outperform existing dynamic conditional correlation models for forecasting future covariances. Among the new fMSV models, the …

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC … rather than a dynamic conditional correlation model; (ii) provides the motivation, which is presently missing, for … standardization of the conditional covariance model to obtain the conditional correlation model; and (iii) shows that the appropriate …