Viktors Ajevskis
Bank of Latvia
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Publication
Featured researches published by Viktors Ajevskis.
Baltic Journal of Economics | 2014
Viktors Ajevskis; Ramune Rimgailaite; Uldis Rutkaste; Oļegs Tkačevs
This paper studies various approaches to the equilibrium real effective exchange rate estimation, including structural and direct estimation approaches. It shows their strengths and weaknesses with application to the case of Latvia. Despite the approaches differing considerably in terms of their theoretical background and data used they all indicate that the real exchange rate of Latvia after appreciation during the boom years and subsequent adjustment afterwards remained close to its equilibrium level at the end of the sample period, namely at the end of 2010.
Applied Economics Letters | 2011
Viktors Ajevskis
This study aims to generalize the Krugman target zone model for the case of terminal condition of joining a currency area. Using the terminal condition and the ‘smooth pasting conditions’, both analytical and numerical solutions of the problem are obtained. The proposed model is more adequate than the Krugman one when the moment of joining currency area approaches. The properties of the model highlight that monetary authorities have some degree of monetary independence until the moment of entering a currency zone. The models outcomes are consistent with dynamic properties of the exchange rate time series of the European countries that entered euro zone in January 1999.
Studies in Nonlinear Dynamics and Econometrics | 2017
Viktors Ajevskis
Abstract This study proposes an approach based on a perturbation technique to construct global solutions to dynamic stochastic general equilibrium models (DSGE). The main idea is to expand a solution in a series of powers of a small parameter scaling the uncertainty in the economy around a solution to the deterministic model, i.e. the model where the volatility of the shocks vanishes. If a deterministic path is global in state variables, then so are the constructed solutions to the stochastic model, whereas these solutions are local in the scaling parameter. Under the assumption that a deterministic path is already known the higher order terms in the expansion are obtained recursively by solving linear rational expectations models with time-varying parameters. The present work also proposes a method rested on backward recursion for solving general systems of linear rational expectations models with time-varying parameters and determines the conditions under which the solutions of the method exist.
Archive | 2012
Alistair Dieppe; Stephane Dees; Pascal Jacquinot; Tohmas Karlsson; Chiara Osbat; Selin Özyurt; Igor Vetlov; Axel Jochem; Zacharias G. Bragoudakis; Dimitris Sideris; Patrocinio Tello; Jean-Charles Bricongne; Guillaume Gaulier; Massimiliano Pisani; Niki Papadopoulou; Brian Micallef; Viktors Ajevskis; Michał Brzoza-Brzezina; Sandra Gomes; Judit Krekó; Milan Vyskrabka
Archive | 2011
Viktors Ajevskis
Archive | 2009
Viktors Ajevskis
Archive | 2012
Viktors Ajevskis; Ramune Rimgailaite; Uldis Rutkaste; Olegs Tkacevs
Archive | 2011
Viktors Ajevskis
Review of Finance | 2010
Viktors Ajevskis
publication.editionName | 2017
Viktors Ajevskis