Regime switching dynamics in credit default swaps: Evidence from smooth transition autoregressive model

2012 ◽  
Vol 391 (4) ◽  
pp. 1497-1508 ◽  
Author(s):  
Alex YiHou Huang ◽  
Wen-Cheng Hu
2019 ◽  
Vol 18 (03) ◽  
pp. 1950021
Author(s):  
Wenting Chen ◽  
Xin-Jiang He ◽  
Xinzi Qiu

In this paper, we consider the valuation of a CDS (credit default swap) contract when the reference asset is assumed to follow a regime-switching model with the volatility allowed to jump among different states. Our motivation originates from empirical evidence demonstrating the existence of regime-switching in real markets. The default probability is analytically derived first, based on which a closed-form formula for the CDS price is obtained so that it can be easily implemented for practical purposes. Finally, numerical experiments are carried out to show quantitatively some properties of the CDS price under the regime-switching model.


2002 ◽  
Vol 6 (2) ◽  
pp. 202-241 ◽  
Author(s):  
Joakim Skalin ◽  
Timo Teräsvirta

The paper discusses a simple univariate nonlinear parametric time-series model for unemployment rates, focusing on the asymmetry observed in many OECD unemployment series. The model is based on a standard logistic smooth transition autoregressive model for the first difference of unemployment, but it also includes a lagged level term. This model allows for asymmetric behavior by permitting “local” nonstationarity in a globally stable model. Linearity tests are performed for a number of quarterly, seasonally unadjusted, unemployment series from OECD countries, and linearity is rejected for a number of them. For a number of series, nonlinearity found by testing can be modeled satisfactorily by use of our smooth transition autoregressive model. The properties of the estimated models, including persistence of the shocks according to them, are illustrated in various ways and discussed. Possible existence of moving equilibria in series not showing asymmetry is investigated and modeled with another smooth transition autoregressive model.


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