Explanation:
Sensitivity analysis evaluates how variations in key inputs (e.g., volatility assumptions) affect the model’s output, helping to identify which factors have the most significant impact on VaR. This analysis also ensures that the model remains robust under a range of plausible assumptions.
A is incorrect. Backtesting is a separate process that compares VaR forecasts to actual P&L.
B is incorrect. Accuracy is assessed through backtesting, where predicted VaR values are compared to historical losses. Sensitivity analysis does not evaluate prediction accuracy but instead examines how input changes influence the model’s behavior.
D is incorrect. Regulatory requirements typically involve stress testing and backtesting to ensure compliance, not sensitivity analysis. Sensitivity analysis is focused on understanding how changes in model inputs, like volatility, impact the VaR estimate, rather than aligning the model with regulatory standards.
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Q.6464 A financial analyst is performing sensitivity analysis on a VaR model. What is the primary purpose of such an exercise?
A
To determine the model’s backtesting performance.
B
To evaluate the accuracy of the VaR model in predicting portfolio losses.
C
To identify the key drivers of VaR and assess model robustness.
D
To assess whether the model’s VaR estimates meet regulatory requirements under varying assumptions.