During the last decades a wide literature has focused on the relationship volume-volatility on financial markets. This paper investigates the temporal dynamics of volatility and volumes, supposing, as in Bollerslev and Jubinsky (1999), that the link has to be found in their long-run...

Copula-GARCH models have been recently proposed in the financial literature as a statistical tool to build flexible multivariate distributions. Our extensive simulation studies investigate the small sample properties of these models and examine how misspecification in the marginals may affect...

Many empirical studies showed the strong degree of persistence of shocks to the conditional variance process. In this case, the distinction between stationary and unit root processes may be too restrictive, since the propagation of shocks occurs at an exponential rate of decay in a stationary...

Copulae have been recently proposed as a statistical tool to build flexible multivariate distributions, since they allow for a rich dependence structure and more flexible marginal distributions that better fit the features of empirical financial and economic data. Our simulation studies...

This paper proposes dynamic copula and marginals functions to model the joint distribution of risk factor returns affecting portfolios profit and loss distribution over a specified holding period. By using copulas, we can separate the marginal distributions from the dependence structure and...

Discrete-time Affine Term Structure Models can be expressed in AR(1)- ARCH form, but it is not possible to get a non-negative variance equation only by restricting the parameters. In this paper we use a distribution assumption in order to assure the variance to be non-negative. We present a...

Статья содержит вторую часть консультации, посвященной копула-функциям и их использованию в моделировании многомерных распределений вероятностей. В ней...