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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/1480

Title: An experimental indicator to forecast turning points
Author: Dalton, Padraig
Keogh, Gerard
Keywords: Economic time series
Henderson moving averages
Business cycle
Turning points
Cyclical conformity
Leading indicator
Issue Date: 2000
Publisher: Statistical and Social Inquiry Society of Ireland
Citation: Dalton, P. and G. Keogh. 'An experimental indicator to forecast turning points'. - Dublin: Journal of the Statistical and Social Inquiry Society of Ireland,Vol. XXIX, 1999/2000, pp117-176
Series/Report no.: Journal of the Statistical and Social Inquiry Society of Ireland
Vol. XXIX, 1999/2000, pp117-176
Abstract: The Business Cycle in Gross Domestic Product (GDP) describes the recurring cycles of expansion and slowdown in overall economic well being. A Composite Leading Indicator (CLI) is a small group of important economic indicators that can be used to predict likely future phases, or turning points, of the business cycle. The business cycle in the Irish economy is extracted in this paper using a combination of symmetric Henderson Moving Average filters. These filters are also applied to a broad range of economic indicator series that are then combined together, on the basis of cyclical conformity and lead time, to form an Experimental Composite Leading Indicator (XCLI). This exercise is undertaken for both annual and interpolated quarterly GDP data. The ability of the XCLI to predict future phases in the Irish business cycle in GDP is examined.
Description: Read before the Society, 9 March 2000
URI: http://hdl.handle.net/2262/1480
ISSN: 00814776
Appears in Collections:Archive JSSISI: 1847- Complete Collection
JSSISI: 1999 to 2000, Vol. XXIX, 153rd Session

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