This thesis analyses symmetric and asymmetric interdependencies of financial markets through time for returns and variances. The work contributes to the literature in several areas: Symmetric interdependencies (correlations) are examined in the first part where a new bivariate correlation...

This paper developes a new methodology to measure conditional dependency between time series each driven by complicated marginal distributions.

Most time series models used in econometrics and empirical finance are estimated withmaximum likelihood methods, in particular when interest centers on density and Value{at{Risk (VaR) prediction. The standard maximum likelihood principle implicitly placesequal weight on each of the observations...