This study examines the dynamic nexus betwixt oil prices, twenty-two world agricultural commodity prices and given the evolution of the relative strength of the US dollar in a panel setting. We use panel cointegration and Panel Granger causality methods for a panel of twenty-two agricultural...

Previous work has established that an appreciation of the real exchange rate (REER) contributes to premature deindustrialization, less productive investment and dependence on commodity booms and busts in emerging markets economies (EME). From the previous literature, it is less clear however...

The article provides estimates of short-run and medium-run exchange rate pass-through into domestic prices in Russia during the period of 2000–2012 using vector error correction model. Exchange rate pass-through asymmetry estimates, its assessments on different sub-periods and exchange rate...

The novelty of this work is in the presentation of a theoretical framework that allows the modeling of an announced switch of the monetary regime. In our experiment, the monetary authority announces stabilization of the nominal exchange rate after the announced number of periods. We analyze the...

International real business cycle (IRBC) models predict a real exchange rate volatility that is much lower than the levels observed in the data. In this paper, we build a two-country IRBC model with both a traded and a non-traded goods sector, and calibrate it to UK-euro area (EA) data. We...

This paper examines how much the central bank should adjust the interest rate in response to real exchange rate fluctuations. The paper first demonstrates in a two-country Dynamic Stochastic General Equilibrium (DSGE) model, that the home bias in consumption is important to duplicate the...

The exchange-rate behavior of the Chinese yuan (RMB) and the Malaysian ringgit (MYR) indicates that the real exchange rate volatility of both the pegged currency/the anchor currency (the US dollar), and the pegged currency/the non-anchor currencies (Japanese yen and British pound) are lower...

In this paper we develop a general framework to analyze state space models with timevarying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...

In this paper we develop a general framework to analyze state space models with time-varying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...