Journal of Credit Risk
ISSN:
1744-6619 (print)
1755-9723 (online)
Editor-in-chief: Linda Allen and Jens Hilscher
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An analytical value-at-risk approach for a credit portfolio with liquidity horizon and portfolio rebalancing
Haohan Huang, Eugene Wang, Huaxiong Huang and Yong Wang
Need to know
- A two period analytical VaR model is derived via GA approximation.
- The model is applied to IRC and the accuracy of the model is examined by testing against full MC model with portfolio rebalancing.
- Benchmark testing shows that the features of liquidity horizon and constant level of risk are captured adequately in the model.
Abstract
ABSTRACT
We provide a two-period analytical value-at-risk (VaR) approach for the credit portfolio with liquidity horizon and the constant level of risk. Given any time horizon, a two-period credit portfolio loss model is derived and, at the end of the first period, the portfolio is rebalanced to ensure a constant level risk of the portfolio measured by the credit rating. The analyticalVaR is found by extending the granularity adjustment (GA) approximation. The model is applied to incremental risk charge (IRC), with the liquidity horizon of each asset being six months. By testing with the Monte Carlo simulation model, it is shown that the accuracy of the analytic model is acceptable over a large range of parameters. The model behaves similarly to the standard GA in capturing the concentration risk. We also show the features of liquidity horizon and constant level of risk are captured adequately in the model. Our analytical approach behaves better than the standard one-period asymptotic single-risk-factor model with and without GA, to achieve a comparable measure to the IRC.
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