The Russian banking system is in its worst crisis since 1998, a fact made particularly evident by the collapse in share prices for every financial service company, together with the fall of Russian stock markets. However, differently from 1998, the banking system finds itself in a better...

This study investigates market risk management methods for high dimensional portfolios composed of Russian stocks. We employ a general copula framework that allows for flexible marginal distributions, as well as different types of dependence represented by the copula function. We compare...

The main regulations of short selling in Russian stock markets are presented, and the importance of short selling practices is examined by comparing different asset allocation strategies. A new methodology based on the positive and negative potential for the price (or return) on the next day is...

This work proposes to forecast the Realized Volatility (RV) and the Value-at-Risk (VaR) of the most liquid Russian stocks using GARCH, ARFIMA and HAR models, including both the implied volatility computed from options prices and Google Trends data. The in-sample analysis showed that only the...

Using monthly data of 79 Russian regions from 2003 to 2017, we study the long-run relationship of the retail gasoline prices with the crude oil price and the nominal exchange rate. We find that models that were successfully applied to deal with asymmetries in other countries are not suitable for...

This paper examines the suitability of Google Trends data for the modelling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to study the migration data of the two...

The article builds indices of social well-being based on Google Trends Data for predicting VCIOM indices. The Google indices were computed using a Google Trends dataset for 2006–2016 containing 512 search queries relative to housing conditions, income, education, etc., and applying factor...

This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of...