Yield spread selection in predicting recession probabilities

Citations

WEB OF SCIENCE

0
Citations

SCOPUS

3

초록

The literature on using yield curves to forecast recessions customarily uses 10-year-3-month Treasury yield spread without verification on the pair selection. This study investigates whether the predictive ability of spread can be improved by letting a machine learning algorithm identify the best maturity pair and coefficients. Our comprehensive analysis shows that, despite the likelihood gain, the machine learning approach does not significantly improve prediction, owing to the estimation error. This is robust to the forecasting horizon, control variable, sample period, and oversampling of the recession observations. Our finding supports the use of the 10-year-3-month spread.

키워드

density forecastingestimation riskmachine learningyield curveVARIABLE SELECTIONCURVE
제목
Yield spread selection in predicting recession probabilities
저자
Choi, JaehyukGe, DeshengKang, Kyu HoSohn, Sungbin
DOI
10.1002/for.2980
발행일
2023-11
유형
Article
저널명
Journal of Forecasting
42
7
페이지
1772 ~ 1785