The paper presents an econometric study of the two bank ratings assigned by Moody's In-vestors Service. According to Moody s methodology, foreign-currency long-term deposit ratings are assigned on the basis of Bank Financial Strength Ratings (BFSR), taking into account external bank support...

The study empirically assesses how macroprudential policy interacts with systemic risk, industrial production, and monetary intervention on a global level from January 2006 to December 2018. We adopt the aggregate proxies of these variables, capturing their global effects, and use a novel...

The paper examines how the type of ownership affects the profit efficiency of Russian banks. Using bank-quarter data for selected banks in the period 2004–2015, we combine stochastic frontier anal-ysis (SFA) methodology with an intermediary approach to assess profit efficiency. Our key...

This paper presents results from an econometric analysis of Russian bank defaults during the period 1997 2003, focusing on the extent to which publicly available information from quarterly bank balance sheets is useful in predicting future defaults.Binary choice models are estimated to construct...

The paper presents a study of Russian banks' interest rates on household deposits during the formation period of the deposit insurance system. It is shown that market discipline weakened after deposit insurance was effectively in place.

The Kazakhstan banking system is increasingly viewed as more advanced than the Russian system. Kazakhstan adopted the International Accounting System (IAS) in 2003 and the Basel II norms in 2005, while Russia has yet to fully adopt either IAS or Basel II. In this paper, bank data for 2002-2006...

We empirically test the dependence of the Russian stock market on the world stock market and world oil prices in the period 1997:10-2012:02. We also consider three Eastern European stock markets (Poland, the Czech Republic, and Hungary), as well as two markets outside Europe (Turkey and South...

We use a Kalman filter type model of financial markets to extract a global stochastic trend from the discrete non-synchronous data on daily stock market index returns of different stock exchanges. The model is tested for robustness. In addition, we derive "most important" hours of world...