This paper examines the dynamics of the foreign exchange market. The first half addresses a number of key questions regarding the forecasts of future exchange rates made by market participants, by means of updated estimates using survey data. Here we follow most of the theoretical and empirical literature in acting as if all market participants share the same expectation. The second half then addresses the possibility of heterogeneous expectations, particularly the distinction between “chartists” and “fundamentalists,” and the implications for trading in the foreign exchange market and for the formation of speculative bubbles.

This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

The paper presents new empirical results that elucidate the dynamics of the foreign exchange market. The first half of the paper is an updated study of the exchange rate expectations held by market participants, as reflected in responses to surveys, and contains the following conclusions. First, the bias observed in the forward discount as a predictor of the future spot rate is not attributable to an exchange risk premium, as is conventionally believed. Second, at short horizons forecasters tend to extrapolate recent trends, while at long horizons they tend to forecast a reversal. Third, the bias in expectations is robust in the samples, based on eight years of data across five currencies. The second half of the paper abandons the framework in which all market participants share the same forecast, to focus on the importance of heterogeneous expectations. Tests suggest that dispersion of opinion, as reflected in the standard deviation across respondents in the survey, affects the volume of trading in the market, and, in turn, the degree of volatility of the exchange rate. An example of how conflicting forecasts can lead to swings in the exchange rate is the model of "chartists and fundamentalists." The market weights assigned to the two models fluctuate over time in response to recent developments, leading to fluctuations in the demand for foreign currency. The paper ends with one piece of evidence to support the model: the fraction of foreign exchange forecasting services that use "technical analysis" did indeed increase sharply during 1983-85, but declined subsequently

This paper presents a brief survey of the empirical literature on survey-based exchange rate expectations. The literature in general supports the presence of a non-zero risk premium and rejects the hypothesis of rational expectations. The crucial result is that, while short-run expectations tend to move away from some long-run “normal” values, long-run expectations tend to regress toward them. If this nature of short-run expectations increases the volatility of exchange rate movements, there may be a basis for some official measure to minimize short-run exchange rate movements.

Forecasting exchange rates is a variable that preoccupies economists, businesses and governments, being more critical to more people than any other variable. In Exchange Rate Forecasting the author sets out to provide a concise survey of the techniques of forecasting - bringing together the various forecasting methods and applying them to the exchange rate in a highly accessible and readable manner. Highly practical in approach, the book provides an understanding of the techniques of forecasting with an emphasis on its applications and use in business decision-making, such as hedging, speculation, investment, financing and capital budgeting. In addition, the author also considers recent developments in the field, notably neural networks and chaos, again, with easy-to-understand explanations of these "rocket science" areas. The practical approach to forecasting is also reflected in the number of examples that pepper the text, whilst descriptions of some of the software packages that are used in practice to generate forecasts are also provided.

This book focuses on extending the models and theories (from a mathematical/statistical point of view) which were introduced in the first volume to a more technical level. Where volume I provided an introduction to the mathematics of bubbles and contagion, volume II digs far more deeply and widely into the modeling aspects.