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Interdependence and contagion among industry-level US credit markets: An application of wavelet and VMD based copula approaches

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  • Shahzad, Syed Jawad Hussain
  • Nor, Safwan Mohd
  • Kumar, Ronald Ravinesh
  • Mensi, Walid

Abstract

This study examines the interdependence and contagion among US industry-level credit markets. We use daily data of 11 industries from 17 December 2007 to 31 December 2014 for the time–frequency, namely, wavelet squared coherence analysis. The empirical analysis reveals that Basic Materials (Utilities) industry credit market has the highest (lowest) interdependence with other industries. Basic Materials credit market passes cyclical effect to all other industries. The little “shift-contagion” as defined by Forbes and Rigobon (2002) is examined using elliptical and Archimedean copulas on the short-run decomposed series obtained through Variational Mode Decomposition (VMD). The contagion effects between US industry-level credit markets mainly occurred during the global financial crisis of 2007–08.

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  • Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Kumar, Ronald Ravinesh & Mensi, Walid, 2017. "Interdependence and contagion among industry-level US credit markets: An application of wavelet and VMD based copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 310-324.
  • Handle: RePEc:eee:phsmap:v:466:y:2017:i:c:p:310-324
    DOI: 10.1016/j.physa.2016.09.008
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    Cited by:

    1. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    2. repec:eee:phsmap:v:502:y:2018:i:c:p:379-393 is not listed on IDEAS
    3. repec:eee:phsmap:v:495:y:2018:i:c:p:30-39 is not listed on IDEAS

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