The paper investigates to what extent some basic tools of the ECBs monetary analysis can be useful for other central banks given their specific institutional, economic and financial environment. We take the case of the Bank of Russia in order to show how to adjust methods and techniques of...

We apply recently developed early warning indicators systems to a cross-section of emerging markets. We find that, with little or no modification, models designed to predict asset price booms/busts in advanced countries may be useful for emerging markets. The concept of monitoring a set of asset...

We review some aspects of financial dollarization in Russia, applying the main relevant theories to analyze the dynamics of several dollarization indicators. An econometric model of the short run dynamics of deposit and loan dollarization is estimated for the last decade. We find that ruble...

This paper discusses the money creation mechanisms in emerging markets with special focus on external transactions. We argue that one should not rule out the possibility that fluctuations in the loans-to-deposits and non-core liabilities ratios are driven by the banks. We also argue that, under...

We apply an econometric approach developed specifically to address the ‘curse of dimensionality' in Russian data and estimate a Bayesian vector autoregression model comprising 14 major domestic real, price and monetary macroeconomic indicators as well as external sector variables. We conduct...

In the spirit of Borio et al. (2014) we present a model that incorporates information contained in diverse variables when estimating sustainable output growth. For this purpose, we specify a state-space model representing a multivariate HP-filter that links cyclical fluctuation of GDP with...

​We apply several tests to the underlying inflation metrics used in practice by central banks and/or proposed in the scientific literature, in an attempt to find the best-performing indicators. We find that although there is no single best measure of underlying inflation, indicators calculated...

Real-time assessment of quarterly GDP growth rates is crucial for evaluation of economy's current perspectives given the fact that respective data is normally subject to substantial publication delays by national statistical agencies. Large information sets of real-time indicators which could be...

This article presents three alternative models for decomposing loan developments into components associated with changes in loan demand and supply fundamentals. Two models are based on macro data (error correction model and structural vector autoregression with sign restrictions) and one is...

We conduct a Monte Carlo experiment using an ad-hoc New Keynesian model and a tractable agent-based model to generate artificial credit cycle episodes. We show that fluctuations in the implicit measures of the natural rate of interest obtained using a conventional trivariate Kalman filter on...