
Exchange Rate Forecasting: Techniques and Applications
I. Moosa(Author)
Palgrave Macmillan (Publisher)
Published on 14. December 1999
Book
Paperback/Softback
XXI, 424 pages
978-1-349-40871-9 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2000
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Illustrations
XXI, 424 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
674 gr
ISBN-13
978-1-349-40871-9 (9781349408719)
DOI
10.1057/9780230379008
Schweitzer Classification
Other editions
Additional editions

Book
12/1999
Palgrave Macmillan
€213.99
Shipment within 15-20 days
Person
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.
Content
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