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CDS Industrial Sector Indices, credit and liquidity risk

Author

Listed:
  • Monica Billio

    (Department of Economics, University Of Venice C� Foscari)

  • Massimiliano Caporin
  • Loriana Pelizzon

    (Department of Economics, University Of Venice C� Foscari)

  • Domenico Sartore

    (Department of Economics, University Of Venice C� Foscari)

Abstract

This paper studies the risk spillover among US Industrial Sectors and focuses on the connection between credit and liquidity risks. The proposed methodology is based on quantile regressions and considers the movements of CDS Industrial Sector Indices depending on common risk factors such as equity risk, risk appetite, term spread and TED spread. We use CDS Industrial indexes and the market risk factor to identify the impact of market liquidity risk and market credit risk in the different US Industries and give evidence of the heterogeneity of this relation. We show that all the sectors are largely exposed to the non investment grade bond spread indicating that credit risk is largely a common factor rather than a sector specific factor. With a lower impact, we also find that market risk and interest rate risk are also common factors, as well as liquidity risk. These results indicate that diversification among sectors might collapse when credit, equity and liquidity events hit the market. The information extracted from CDS market could thus provide relevant information for sector allocation strategies.

Suggested Citation

  • Monica Billio & Massimiliano Caporin & Loriana Pelizzon & Domenico Sartore, 2012. "CDS Industrial Sector Indices, credit and liquidity risk," Working Papers 2012_09, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2012_09
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    References listed on IDEAS

    as
    1. Paolo Mauro & Nathan Sussman & Yishay Yafeh, 2002. "Emerging Market Spreads: Then versus Now," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 695-733.
    2. Koenker, Roger & Zhao, Quanshui, 1996. "Conditional Quantile Estimation and Inference for Arch Models," Econometric Theory, Cambridge University Press, vol. 12(5), pages 793-813, December.
    3. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, December.
    4. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    5. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Mansur, Alfan, 2018. "Measuring Systemic Risk on Indonesia’s Banking System," MPRA Paper 93300, University Library of Munich, Germany, revised 12 Apr 2018.

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    More about this item

    Keywords

    Credit Risk; Common factors; liquidity risk;
    All these keywords.

    JEL classification:

    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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