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Assessment of time-varying systemic risk in credit default swap indices: Simultaneity and contagiousness
Institution:1. Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea;2. School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea;1. University of Castilla-La Mancha. Department of Economics and Finance, Plaza de la Universidad 1, 02071, Albacete, Spain;2. University of Pavia. Department of Economics and Management, Via San Felice 5, 27100, Pavia, Italy;1. School of Finance/Institute of Big Data, Southwestern University of Finance and Economics, 611130 Chengdu, Sichuan, China;1. Department of Financial Engineering and Actuarial Mathematics, Soochow University, 56, Kuei-Yang Street, Section 1, Taipei 100, Taiwan;2. Deputy Manager, Market Risk Management Department, Fubon Financial Holding Company, Taiwan
Abstract:This study assesses systemic risk inherent in credit default swap (CDS) indices using empirical and statistical analyses. We define systemic risk in two perspectives: the possibilities of simultaneous and contagious defaults, and then quantify them separately across benchmark models. To do so, we employ a Marshall-Olkin copula model to measure simultaneous default risk, and an interacting intensity-based model to capture contagious default risk. For an empirical test, we collect daily data for the iTraxx Europe CDS index and its tranche prices in the period from 2005 to 2014, and calibrate model parameters varying across time. In addition, we select forecasting models that have minimal prediction errors for the calibrated time series. Finally, we identify significant changes in each dynamic of systemic risk indicator before and after default and downgrade-related episodes that have occurred in the global financial crisis and European sovereign debt crisis.
Keywords:Systemic risk  CDS index  Marshall-Olkin copula  Interacting intensity-based model  Calibration  Forecasting
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