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The Determinants of Credit Risk: Analysis of US Industry-level Indices

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  • Syed Jawad Hussain Shahzad
  • Safwan Mohd Nor
  • Nur Azura Sanusi
  • Ronald Ravinesh Kumar

Abstract

The study examines the cointegration and causal relationship between credit default swap spreads, stock prices, VIX, interest rate and slope of the yield curve for the 10 industries in the USA over the period 14 December 2007 to 30 September 2015. Due to the presence of cross-sectional dependence in the panel, we employ the Pesaran (2007, Journal of Applied Econometrics, 22 (2), 265–312) CIPS test to ascertain unit root properties. The cointegration test underscores the presence of a long-run association between the variables. The long-run heterogeneous panel elasticities are estimated via Dynamic OLS (DOLS) and the causality is examined by using the Dumitrescu and Hurlin (2012, Economic Modelling, 29 (4), 1450–1460) Granger causality tests. The empirical results reveal that stock prices (volatility), interest rate and slope of the yield curve decrease (increase) the CDS premia; and stock prices, VIX and interest rate Granger-cause the CDS spreads for most of the industries.

Suggested Citation

  • Syed Jawad Hussain Shahzad & Safwan Mohd Nor & Nur Azura Sanusi & Ronald Ravinesh Kumar, 2018. "The Determinants of Credit Risk: Analysis of US Industry-level Indices," Global Business Review, International Management Institute, vol. 19(5), pages 1152-1165, October.
    • Handle: RePEc:sae:globus:v:19:y:2018:i:5:p:1152-1165
    DOI: 10.1177/0972150917724631
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