| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 7347343 | 1476499 | 2018 | 20 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												Assessing sovereign default risk: A bottom-up approach
												
											ترجمه فارسی عنوان
													ارزیابی خطر پیش فرض مستقل: رویکرد پایین به بالا 
													
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													علوم انسانی و اجتماعی
													اقتصاد، اقتصادسنجی و امور مالی
													اقتصاد و اقتصادسنجی
												
											چکیده انگلیسی
												This study assesses sovereign default risk of individual U.S. states utilizing information about default risk at the company level. We link integrated risk factors of the private sector to the overall sovereign risk of state governments in conjunction with additional financial variables. Using data on Moody's KMV expected default frequencies (EDFs) on corporate default risk, we derive credit risk indicators for different industries. Building on these measures, we then develop state level credit risk indicators encompassing industry compositions to explain the behaviour of credit default swap (CDS) spreads for individual states. We find that market-based measures of private sector credit risk are strongly associated with subsequent shifts in sovereign credit risk premiums, as measured by CDS spreads. The developed credit risk indicators are highly significant in forecasting sovereign CDS spreads at weekly and monthly sampling frequencies. Overall, our findings suggest a strong predictive link between market expectations of private sector credit quality and expectations of sovereign credit quality - a connection that is not directly discernible from scoring models.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Economic Modelling - Volume 70, April 2018, Pages 525-542
											Journal: Economic Modelling - Volume 70, April 2018, Pages 525-542
نویسندگان
												Feng Liu, Egon Kalotay, Stefan Trück, 
											