摘要(英) |
Under current risk management, a bond portfolio is not only concerned about
the default risk, but also needs to study its credit risk. Value-at-Risk (VaR) is used
commonly in risk measurement. In this paper, we apply the CreditMetrics model to assess the VaR of the portfolio of bonds. However, it is hard to assess VaR as the portfolio of bonds is extremely large and complicated. Therefore, using the technique of dimension reduction is needed to reduce the required number of random variables. Here, we introduce the factor model to solve the problem of
dimension reduction. Finally, we also note the difference of VaR before and after
this reduction.
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參考文獻 |
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