FORECASTING IN THE PRESENCE OF STRUCTURAL BREAKS AND MODEL UNCERTAINTY by David E. Rapach (Editor), Mark E. Wohar (Editor), Hamid Beladi (Editor) ( 9780444529428 )

Item Details

Title:

FORECASTING IN THE PRESENCE OF STRUCTURAL BREAKS AND MODEL UNCERTAINTY

By:

David E. Rapach (Editor), Mark E. Wohar (Editor), Hamid Beladi (Editor)

Format:

Hardback

List price:

£141.99

Our price:

£127.79

Discount:

10% off

You save:

£14.20

ISBN 10:

044452942X

ISBN 13:

9780444529428

Availability:

This item will be printed on demand and will usually be dispatched within 10 days.

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Stock:

Currently 0 available

Publisher:

EMERALD PUBLISHING LIMITED

Pub. date:

29 February, 2008

Series:

Frontiers of Economics and Globalization 3

Pages:

700

Description:

Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

Synopsis:

Forecasting in the presence of structural breaks and model uncertainty are active areas of recent research with crucial implications for practical problems in forecasting. "Forecasting in the Presence of Structural Breaks and Model Uncertainty" presents findings from the recent literature and new findings in a way that will be very useful to academic researchers and practitioners alike. Each chapter includes detailed empirical applications that demonstrate the usefulness (and limitations) of different methods for generating forecasts when structural breaks and model uncertainty are of significant concern. The authors describe in detail their methods and their results, and the data and programs are made available on a web site devoted to the book. The volume addresses forecasting variables from both Macroeconomics and Finance, and considers many different methods of dealing with model instability and model uncertainty when forming forecasts. Authors are leading experts in the topics they survey and extend. This book is supported by a website detailing the data and programs used.

Publication:

Imprint:

Elsevier Science Ltd

Returns:

Returnable

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