TY - JOUR
T1 - The credit spread curve distribution and economic fluctuations in Japan
AU - Okimoto, Tatsuyoshi
AU - Takaoka, Sumiko
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/4
Y1 - 2022/4
N2 - Predicting the future economy is of great interest to practitioners and policymakers. In this study, we confront this problem by examining the relationship between credit spread curves and future economic activity. To this end, we construct a monthly empirical distribution of credit spread curves by calculating credit spreads of corporate bonds at the firm level in Japan and examine whether it can be used to predict a Japanese business cycle. We find that the credit spread curve information in higher deciles (implying lower credit quality) provides more predictive power for the future economy than the information of government bond yield curve or the credit spread index suggested by previous studies. In addition, the smooth-transition predictive regression analysis demonstrates that credit spread curves have more predictive power under the low uncertainty regime, and depict a significant predictive power for a short horizon for both regimes. Finally, our component-wise analysis shows that the credit spread curve information has robust predictive power for producer-side indicators under the low uncertainty regime and for labor market conditions, regardless of the regime.
AB - Predicting the future economy is of great interest to practitioners and policymakers. In this study, we confront this problem by examining the relationship between credit spread curves and future economic activity. To this end, we construct a monthly empirical distribution of credit spread curves by calculating credit spreads of corporate bonds at the firm level in Japan and examine whether it can be used to predict a Japanese business cycle. We find that the credit spread curve information in higher deciles (implying lower credit quality) provides more predictive power for the future economy than the information of government bond yield curve or the credit spread index suggested by previous studies. In addition, the smooth-transition predictive regression analysis demonstrates that credit spread curves have more predictive power under the low uncertainty regime, and depict a significant predictive power for a short horizon for both regimes. Finally, our component-wise analysis shows that the credit spread curve information has robust predictive power for producer-side indicators under the low uncertainty regime and for labor market conditions, regardless of the regime.
KW - Business cycle
KW - Corporate bond spreads
KW - Predictive regression
KW - Smooth transition model
KW - Term structure
UR - http://www.scopus.com/inward/record.url?scp=85122457079&partnerID=8YFLogxK
U2 - 10.1016/j.jimonfin.2021.102582
DO - 10.1016/j.jimonfin.2021.102582
M3 - Article
SN - 0261-5606
VL - 122
JO - Journal of International Money and Finance
JF - Journal of International Money and Finance
M1 - 102582
ER -