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Answer: Market risk events are easier to map to risk factors than operational risk events.
## Explanation **Correct Answer: A** This is the most valid argument because: - **Market risk events** can be directly mapped to observable market risk factors (interest rates, exchange rates, equity prices, commodity prices, etc.) that have continuous data and clear relationships - **Operational risk events** are much more difficult to map to specific risk factors because they include diverse events like internal fraud, external fraud, employment practices, business disruption, system failures, etc. - Operational risk events are often discrete, infrequent, and lack the continuous data streams available for market risk factors - The causal relationships between operational risk events and underlying factors are less clear and more complex than market risk relationships **Why the other options are incorrect:** - **B**: Quantitative methods for operational risk VaR do exist (Loss Distribution Approach, Scorecard approaches, etc.) - **C**: This is incorrect - market and credit VaR also consider both frequency and severity, though operational risk typically has more emphasis on severity due to potential for extreme losses - **D**: Monte Carlo techniques can and are used for operational risk VaR modeling, though the distributions may not be normal (they often use fat-tailed distributions like lognormal or Pareto)
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Your supervisor is an expert in market and credit risk. He recruits you to manage the operational risk department. He would like to use VaR to measure the firm's operational risk and proposes that you use the same VaR framework previously developed for market and credit risk. Which of the following arguments is a valid argument for why it is difficult to estimate an operational VaR using the same framework as market and credit VaR?
A
Market risk events are easier to map to risk factors than operational risk events.
B
Quantitative methods for estimating operational risk VaR do not exist.
C
Market and credit VaRs are estimated using only frequency distribution, but operational VaR is estimated using both a frequency distribution and a severity distribution.
D
Monte Carlo techniques cannot be used for an operational risk VaR because the underlying risk factors are not normally distributed.