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CDS volatility: the key signal of credit quality

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  • Rosella Castellano
  • Rita D’Ecclesia

Abstract

This paper investigates the role of CDS volatility in providing information concerning the credit quality of a company. In Castellano and D’Ecclesia (J. Financ. Decis. Mak. 2:27, 2011 ) a first analysis of how CDS quotes respond to rating announcements is provided and it showed that market participants do not rely much on Rating Agencies, especially during periods characterized by very high volatility, i.e. during a financial crisis. Here, a more accurate analysis of the CDS’s ability to provide timely information on the creditworthiness of reference entities is performed, estimating the volatility of CDS quotes by using Exponential GARCH(1,1) models. The event study methodology is applied to a sample of CDS quotes for US and European markets, over the period 2004–2009. Results provide an accurate understanding of market behavior in the presence of news released by Rating Agencies. Overall, market participants seem to provide timely reactions around the event date and we show that the key element of signaling is represented by the changing volatility in CDS quotes, before and after the rating event. Copyright Springer Science+Business Media New York 2013

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  • Rosella Castellano & Rita D’Ecclesia, 2013. "CDS volatility: the key signal of credit quality," Annals of Operations Research, Springer, vol. 205(1), pages 89-107, May.
    • Handle: RePEc:spr:annopr:v:205:y:2013:i:1:p:89-107:10.1007/s10479-012-1244-9
    DOI: 10.1007/s10479-012-1244-9
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    2. Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.
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    7. Gheorghe HURDUZEU & Radu Cristian MUSETESCU & Georgeta Madalina MEGHISAN, 2015. "Financial Market Reaction To Changes In The Volatilities Of Cds Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 152-165, September.
    8. Rosella Castellano & Luisa Scaccia, 2014. "Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 285-305, June.
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