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

By: Contributor(s): Material type: TextTextDescription: 1152–1165 PSubject(s): In: BANIK, ARINDAM GLOBAL BUSINESS REVIEWSummary: 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.
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Holdings
Item type Current library Call number Vol info Status Notes Date due Barcode Item holds
Journal Article Journal Article Main Library Vol 19, No 5/ 5559630JA2 (Browse shelf(Opens below)) Available 5559630JA2
Journals and Periodicals Journals and Periodicals Main Library On Display JP/GEN/ Vol 19, No 5 (Browse shelf(Opens below)) Vol 19, No 5 (10/09/2018) Not for loan October-2018 (Vol 19, No 5) 5559630
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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.

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