Predicting Turning Points

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Creator Series Issue number
  • 267
Date created
  • 2000-06
Abstract
  • This paper presents a new method for predicting turning points. The paper formally defines a turning point; develops a probit model for estimating the probability of a turning point; and then examines both the in-sample and out-of-sample forecasting performance of the model. The model performs better than some other methods for predicting turning points.

Corporate Author
  • Federal Reserve Bank of Minneapolis. Research Department
Publisher
  • Federal Reserve Bank of Minneapolis
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