Time Series Modeling and the Forecasting Effectiveness of the U.S. Leading Economic Indicators
John B. Guerard and
Eli Schwartz
Additional contact information
John B. Guerard: McKinley Capital Management, Inc.
Eli Schwartz: Lehigh University
Chapter Chapter 13 in Quantitative Corporate Finance, 2007, pp 303-336 from Springer
Abstract:
Abstract An important aspect of financial decision making may depend on the forecasting effectiveness of the composite index of leading economic indicators, LEI. The leading indicators can be used as an input to a transfer function model of real Gross Domestic Product, GDP. The previous chapter employed four quarterly lags of the LEI series to estimate regression models of association between current rates of growth of real US GDP and the composite index of leading economic indicators.
Date: 2007
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-34465-2_13
Ordering information: This item can be ordered from
http://www.springer.com/9780387344652
DOI: 10.1007/978-0-387-34465-2_13
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().