2009
DOI: 10.1002/for.1161
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Dynamic probit models and financial variables in recession forecasting

Abstract: In this paper various financial variables are examined as predictors in new dynamic probit models to predict the probability of a recession in the United States and Germany. Following the findings of previous studies, the domestic term spread proved to be an important predictive variable, but several lagged values of stock returns and the foreign term spread are also statistically significant predictive variables for both countries. The interest rate differential between the U.S. and Germany is also a useful p… Show more

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Cited by 128 publications
(133 citation statements)
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References 31 publications
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“…Several subsequent studies (Kauppi and Saikkonen, 2008;Nyberg, 2010;Ng, 2012) indicate that dynamic probit models outperform the traditional static models. Accordingly, equation (2) includes a lagged value of yt on the right hand of the model.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Several subsequent studies (Kauppi and Saikkonen, 2008;Nyberg, 2010;Ng, 2012) indicate that dynamic probit models outperform the traditional static models. Accordingly, equation (2) includes a lagged value of yt on the right hand of the model.…”
Section: Methodsmentioning
confidence: 99%
“…Various recession forecasting studies point out that predictive power typically varies depending on the specific lag order employed (Estrella and Mishkin, 1998;Kauppi and Saikkonen, 2008;Nyberg, 2010). Consequently, the equations are estimated using multiple potential lag orders.…”
Section: Methodsmentioning
confidence: 99%
“…Among the more recent empirical studies, one should certainly mention Nyberg (2010), who applied a dynamic probit model to forecast the recession periods in Zb. rad.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Most recent econometric works used dynamic probit models (Duecker, 1997;Valcks et al, 2002;Moneta, 2003;Chauvet and Potter, 2005;Kauppi and Saikkonen, 2007;and Nyberg, 2008). The key difference between a dynamic and a static probit model is that the former includes, among other indicators, lagged values of the dependent variable as an explanatory variable (and potentially a leading 37 indicator).…”
Section: Recession and Growth Cycle Modeling Literaturementioning
confidence: 99%