Detecting Regime Shifts in Credit Spreads

B-Tier
Journal: Journal of Financial and Quantitative Analysis
Year: 2014
Volume: 49
Issue: 5-6
Pages: 1339-1364

Authors (3)

Chun, Olfa Maalaoui (not in RePEc) Dionne, Georges (HEC Montréal (École des Hautes...) François, Pascal (not in RePEc)

Score contribution per author:

0.673 = (α=2.02 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Using an innovative random regime shift detection methodology, we identify and confirm two distinct regime types in the dynamics of credit spreads: a level regime and a volatility regime. The level regime is long lived and shown to be linked to Federal Reserve policy and credit market conditions, whereas the volatility regime is short lived and, apart from recessionary periods, detected during major financial crises. Our methodology provides an independent way of supporting structural equilibrium models and points toward monetary and credit supply effects to account for the persistence of credit spreads and their predictive power over the business cycle.

Technical Details

RePEc Handle
repec:cup:jfinqa:v:49:y:2014:i:5-6:p:1339-1364_00
Journal Field
Finance
Author Count
3
Added to Database
2026-01-25