Emerging markets often go through periods of financial turbulence and the estimation of market risk measures may be problematic. Online search queries and implied volatility may (or may not) improve the model estimates. In these situations a step-by-step analysis with R and Russian market data...

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...

The growing interest in financial markets microstructure and the fact that financial professionals have access to huge intraday databases have made high-frequency data modelling a hot issue in recent empirical finance literature. We analyse the main issues that are at stake when analysing...

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...

Финансовая эконометрика» - новый и крайне актуальный в прикладном плане раздел эконометрической науки, практически не представленный еще в русскоязычной...

Long-term forecasts are of key importance for the car industry due to the lengthy period of time required for the development and production processes. With this in mind, this paper proposes new multivariate models to forecast monthly car sales data using economic variables and Google online...

World economies, and especially European ones, have become strongly interconnected in the last decades and a joint modelling is required. We propose here the use of Copulas to build flexible multivariate distributions, since they allow for a rich dependence structure and more flexible marginal...