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Exchange Rate Forecasting by Imad A. Moosa
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Exchange Rate Forecasting [Hardback]

Techniques and Applications

by Imad A. Moosa
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Description of Exchange Rate Forecasting

Forecasting exchange rates is a variable that preoccupies economists, businesses and governments, being more critical to more people than any other variable. Here, 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. Practical in approach, the guide 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 developments in the field, notably neural networks and chaos, with 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.

Title Information

ISBN:
9780333736449
Pages:
448 pages
Format:
Hardback
Product Code:
10864
Publisher:
Palgrave MacMillan
Published:
14/12/1999
Edition:
1st Edition

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About Imad A. Moosa

IMAD MOOSA is currently Professor in Economics and Finance at La Trobe University, Australia, prior to which he lectured at the University of Sheffield, UK. Before entering academia, he worked as a professional economist and investment banker for over ten years.

Contents of Exchange Rate Forecasting

Expectations and Forecasting: An Overview

Exchange Rate Forecasting as an Input in the Decision-Making Process

Univariate Time Series Techniques

Multivariate Time Series Models

Market-Based Forecasting: The Spot and Forward Exchange Rates

Judgmental and Composite Forecasting

Technical Analysis

Trading Rules

Recent Developments: Neural Networks and Chaos

Measuring Forecasting Accuracy

Selection, Implementation and Monitoring of Forecasts

Case Studies

Concluding Remarks

References


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