The paper aims at finding the most optimal individual, collective, and combined yield curve forecasting models. It is shown that incorporating macroeconomic information improves the model's goodness-of-fit characteristics. It is also proved that combined forecasts perform better on average when...

The paper presents the research results on detection of structural breaks in copula models of multivariate time-series. A nonparametric method of structural break identification and estimation is used and its asymptotic characteristics (probabilities of the I and II-type errors, probability of...

The paper is aimed at making comparative analysis of main market risk features based on the copula-modeling and on the traditional approach which neglects the asymmetry and the fat tails of interest rates joint multivariate distribution. R software is used for practical implementation of the...