The way a country manages its currency can affect its volume of trade, capital flows and income. A country, especially one with high degree of trade openness, needs to find the most suitable exchange rate arrangement to reduce the volatility of its currency value and output. This thesis examines...

On 19 June 2010 the Chinese authorities announced that the renminbi (RMB) was henceforth to be pegged to a currency basket. Yet, it has quite closely followed the USD, though having appreciated by 2.7 % by the time of writing. At the G20 Seoul Summit on 11-12 November 2010, China committed to...

No previous study has considered the intraday JPY/USD exchange rate responses to a broad set of comparable news surprises from both the U.S. and Japan. We attempt to fill this gap in the literature by investigating the effects of both U.S. and Japanese news surprises, measured as the difference...

The objective of this chapter is to evaluate the theoretical debate on the choice of an exchange rate regime in light of the empirical evidence with a view to suggesting appropriate exchange rate regimes that are conducive for poverty reduction. Due to its obvious implications for poverty, the...

This dissertation is concerned with the examination of some widely employed nonlinear exchange rate models. In particular, its aim is to assess how well non-linear statistical models accommodate the theoretical implications contained in economic models and how well they are able to capture the...

A nonparametric version of the Final Prediction Error (FPE) is proposed for lag selection in nonlinear autoregressive time series. We derive its consistency for both local constant and local linear estimators using a derived optimal bandwidth. Further asymptotic analysis suggests a greater...

We investigate the effects of both U.S. and Japanese news surprises, measured as the difference between macroeconomic announcements and preceding survey expectations, on the intraday JPY/USD exchange rate. No previous study has considered the intraday JPY/USD exchange rate responses to a broad...

Deep learning has substantially advanced the state-of-the-art in computer vision, natural language processing and other elds. The paper examines the potential of contemporary recurrent deep learning architectures for nancial time series forecasting. Considering the foreign exchange market as...

Deep learning has substantially advanced the state of the art in computer vision, natural language processing, and other fields. The paper examines the potential of deep learning for exchange rate forecasting. We systematically compare long short- term memory networks and gated recurrent units...

Exchange rates have raised the ire of economists for more than twenty years. The problem is that few, if any, exchange rate models are known to systematically beat a naive random walk in out-of-sample forecasts. Engel and West (2005) show that these failures can be explained by the standard...