2007
DOI: 10.1002/for.1010
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Forecasting the recent behavior of US business fixed investment spending: an analysis of competing models

Abstract: We evaluate forecasting models of US business fixed investment spending growth over the recent 1995:1-2004:2 out-of-sample period. The forecasting models are based on the conventional Accelerator, Neoclassical, Average Q, and Cash-Flow models of investment spending, as well as real stock prices and excess stock return predictors. The real stock price model typically generates the most accurate forecasts, and forecast-encompassing tests indicate that this model contains most of the information useful for foreca… Show more

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Cited by 22 publications
(14 citation statements)
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“…Using US data for the period 1995-2004 Rapach and Wohar (2007) document that the stock price model had the lowest mean square error at longer horizons, though that is not always so for shorter periods.…”
Section: The Benchmark Empirical Investment Modelmentioning
confidence: 99%
“…Using US data for the period 1995-2004 Rapach and Wohar (2007) document that the stock price model had the lowest mean square error at longer horizons, though that is not always so for shorter periods.…”
Section: The Benchmark Empirical Investment Modelmentioning
confidence: 99%
“…2 SeeChirinko (1993) andKopcke and Bauman (2001) for various models of business investment. For forecasting models, seeRapach and Wohar (2007) and the references cited therein.…”
mentioning
confidence: 99%
“…For capital stock, Augmented Dickey-Fuller and Ng-Perron tests suggest I (1) series, in contrast to the KPSS which rejects the stationary null. Given the good size and power of Ng-Perron tests and that recent research in Rapach and Wohar (2007) documents that the unit root hypothesis cannot be rejected on U.S. real business fixed investment spending, we proceed with the assumption that K follows an I (1) process as well.…”
Section: Resultsmentioning
confidence: 99%