Abstract: We present a new mathematical model for multi-name credit which employs stochastic flocking. Flocking mechanisms have been used in a variety of models of biological, sociological and physical aggregation phenomena. As a direct application of a flocking mechanism, we introduce a credit risk model based on community flocking for a credit worthiness index(CWI). Correlations between different credit worthiness indices are explained in terms of an interaction rate from the flocking system. Based on the flocking model for CWI, we provide a credit curve for individual names and a default time distribution. We study how to price credit derivatives such as a credit default swap(CDS) and a collateralized debt obligation(CDO) with the proposed model.
CREST|複雑な金融商品の数学的構造と無限次元解析
本文へジャンプ
□2010.5.11 16:20~17:50 開催
A Mathematical Model for Multi-Name Credit Based on Community Flocking
講演者:Dr. Kiseop Lee, Department of Mathematics, University of Louisville (US)

講演内容


 
サイト管理者へのメール | 免責事項 | 2010年4月9日更新

立命館大学ーファイナンス研究センター 
Copyright c 2010 JST/CREST コハツ・チーム