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In this paper we aim to improve existing empirical exchange rate models by accounting for uncertainty with respect to the underlying structural representation. Within a flexible Bayesian non-linear time series framework, our modeling approach assumes that different regimes are characterized by commonly used structural exchange rate models, with their evolution being driven by a Markov process. We assume a time-varying transition probability matrix with transition probabilities depending on a measure of the monetary policy stance of the central bank at the home and foreign country. We apply this model to a set of eight exchange rates against the US dollar. In a forecasting exercise, we show that model evidence varies over time and a model approach that takes this empirical evidence seriously yields improvements in accuracy of density forecasts for most currency pairs considered. / Series: Department of Economics Working Paper Series

We estimate a multivariate unobserved components stochastic volatility model to explain the dynamics of a panel of six exchange rates against the US Dollar. The empirical model is based on the assumption that both countries' monetary policy strategies may be well described by Taylor rules with a time-varying inflation target, a time-varying natural rate of unemployment, and interest rate smoothing. The estimates closely track major movements along with important time series properties of real and nominal exchange rates across all currencies considered. The model generally outperforms a benchmark model that does not account for changes in trend inflation and trend unemployment. (authors' abstract) / Series: Department of Economics Working Paper Series

This diploma thesis evaluates out-of-sample predictive ability of exchange rate models. The first part of the thesis summarizes existing empirical findings about exchange rate predictability and describes exchange rate models chosen to be evaluated. The second part of the thesis evaluates predictive ability of purchasing power parity, uncovered interest parity, monetary model and Taylor rule model. The exchange rate models are evaluated on CZK/EUR and CZK/USD currency pairs. The analysis is made using quarterly data from 1999 to 2013, while 2009 to 2013 period is reserved for forecast evaluation. The predictive ability of exchange rate models is evaluated in one quarter, one year and three years horizons. The exchange rate models are specified in first differences and estimated by ordinary least squares method. The forecasts are made using rolling regression. The exchange rate models are evaluated using RMSE, Theil's U, CW test and direction of change criterion. The diploma thesis concludes with description of own empirical findings.

Made available in DSpace on 2010-04-20T20:54:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2002-02-22T00:00:00Z / The objective of this dissertation is to analyze the use of simple restricted and optimum unrestricted monetary rules for the Brazilian economy, with special attention to the impact of the exchange rate in the transmission of monetary policy. The rules were found by a dynamic programming process e compared in terms of their economic efficiency, measured by the reduction of inflation and product variance. These results were used as a benchmark to evaluate the performance of the Brazilian inflationary target regime, since its implementation in July 1999. / O objetivo desta dissertação é analisar o uso de regras ótimas irrestritas e de regras simples restritas de política monetária para a economia brasileira, com especial atenção ao impacto da taxa de câmbio na transmissão da política monetária. As regras foram encontradas através de um processo de programação dinâmica e comparadas em termos da eficiência econômica de cada uma, medida pela redução da variância do produto e da inflação. Estes resultados serviram de referência para avaliar o desempenho do regime de metas de inflação no Brasil, desde a sua implementação em julho de 1999.