| 研究生: |
郭東霖 Kuo, Tung-Lin |
|---|---|
| 論文名稱: |
利用均數複歸馬可夫模型評估公司債的信用風險 Markov Model for Credit Risk with Mean-Reverting Transition Probabilities |
| 指導教授: |
王澤世
Wang, Tse-Shih |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 財務金融研究所 Graduate Institute of Finance |
| 論文出版年: | 2006 |
| 畢業學年度: | 94 |
| 語文別: | 英文 |
| 論文頁數: | 72 |
| 中文關鍵詞: | 馬可夫鍊 、信用價差 、違約機率 、Vesicek 模型 |
| 外文關鍵詞: | Markov model, Credit spread, Default probability, Vesicek model |
| 相關次數: | 點閱:86 下載:2 |
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本文以Moody所發佈的2004年之一年期債券評等推移機率矩陣作為馬可夫(Markov)原始矩陣。並修正Kodera(2001)的模型,以國庫券利率代表總體經濟變數來取代其所原先設定的隨機變數,利用Vesicek 模型,估計未來20年的每年預期利率。接著,利用Bloomberg資料庫找出各種債信評等於2004年底的利率期間結構,藉以算出合理的債券價格。利用債券價格、回覆率及原始矩陣計算風險溢酬調整項,藉由風險溢酬調整項、利率預估值與原始矩陣的結合,便可計算在風險中立的情況下,未來各期間的債信評等推移矩陣。再由這些矩陣,找出債信評等轉移機率,也得以計算風險中立下的違約機率及信用價差。在違約機率與信用價差的估計方面,本文特別引進利率預估值,使得在評估未來的信用風險的過程中,也能夠考量當時的景氣概況。
The article showed the 1-year credit rating transition matrix which was published by Moody in 2004 and took it as an original matrix. The interest rates in this article were estimated by the Vesicek model for 20 years and were regarded as an important economic variable which would affect the credit risk. In order to calculate the reasonable bond price, we searched for the term structure of interest rates at each rating from the Bloomberg database. Then the bond price, recovery rate and original matrix could be used to evaluate the risk premium adjustment. We could make use of risk premium adjustment, the original matrix and the expected interest rates to evaluate the credit rating transition matrix in the risk-neutral world. From the matrix, we could get the credit rating transition probabilities, default probabilities and credit spreads of each rating. The contribution of the article was putting the expected interest rates into the Markov model. As a result, the economic condition would be considered while evaluating the credit risk.
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