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Systemic Risk Indicators Based on Nonlinear PolyModel
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Systemic Risk Indicators Based on Nonlinear PolyModel. |
| 개인저자 | Ye, Xingxing. |
| 단체저자명 | State University of New York at Stony Brook. Applied Mathematics and Statistics. |
| 발행사항 | [S.l.]: State University of New York at Stony Brook., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 61 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438208841 |
| 학위논문주기 | Thesis (Ph.D.)--State University of New York at Stony Brook, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Raphael Douady. |
| 요약 | The global financial market has become extremely interconnected as it demonstrates strong nonlinear contagion in time of crisis. As a result, it is necessary to measure financial systemic risk in a comprehensive and nonlinear approach. By establ |
| 일반주제명 | Applied mathematics. Finance. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
