The Leading Indicators and Monetary Aggregates

2019 ◽  
pp. 85-96
Author(s):  
Phillip Cagan
2011 ◽  
Vol 28 (4) ◽  
pp. 2041-2048 ◽  
Author(s):  
Sunil Paul ◽  
M. Ramachandran

Author(s):  
Rebecca Stuart

AbstractThis paper studies the predictive power for recessions of the slope of the Swiss term structure using monthly data for 1974–2017. Dynamic probit models indicate that the term structure contains information useful for predicting recessions for horizons up to 19 months. Whether the economy is currently in recession or not is also useful for forecasting recessions. These relationships prove stable over the sample. Robustness tests indicate that the KOF business course indicator and some monetary aggregates contain different information from the term structure which can improve the in- and out-of-sample fit of the model.


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