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How can Credit VaR be defined?

  1. As the total expected loss of the portfolio

  2. As the standard deviation of the credit losses

  3. As the quantile of the credit loss adjusted for the expected loss

  4. As the maximum potential loss in a normal market condition

The correct answer is: As the quantile of the credit loss adjusted for the expected loss

Credit Value at Risk (Credit VaR) is a risk measurement tool that estimates the potential loss a credit portfolio might incur over a specific time frame with a certain level of confidence, adjusted for expected losses. The concept revolves around assessing the worst-case scenario, encapsulated within a statistical framework. Choosing the quantile of credit loss adjusted for the expected loss is critical because it captures both the average anticipated loss and the potential high-end losses that could occur beyond this anticipated amount. This method allows institutions to gauge the risk of experiencing significant losses while still recognizing that a certain level of loss can typically be expected. In contrast, defining Credit VaR as the total expected loss would miss the variability of actual losses and doesn't account for the uncertain nature of credit risks. Meanwhile, the standard deviation of credit losses measures volatility rather than potential losses at a certain confidence level, and suggesting it as Credit VaR would lead to misconceptions about risk exposure. Lastly, the maximum potential loss in a normal market condition does not provide a clear understanding of the likelihood or statistical nature of losses that could occur, as it might overlook extreme cases or abnormal market conditions. Thus, the definition of Credit VaR as the quantile of credit loss adjusted for expected loss appropriately captures both risk and expected