Module: | MODULE B: RISK MANAGEMENT
Q353: Consider the following statements regarding the Monte Carlo Simulation method for measuring market risk:
1. It involves generating thousands of random price paths for underlying assets to build a comprehensive distribution of portfolio returns.
2. It is highly effective for capturing non-linear risks, such as the curvature risks inherent in complex options portfolios.
3. Unlike the Historical Simulation method, Monte Carlo relies entirely on a fixed lookback period of past market prices and cannot simulate unprecedented scenarios.
2. It is highly effective for capturing non-linear risks, such as the curvature risks inherent in complex options portfolios.
3. Unlike the Historical Simulation method, Monte Carlo relies entirely on a fixed lookback period of past market prices and cannot simulate unprecedented scenarios.
✅ Correct Answer: A
The correct answer is A. Statement 1 is correct: Monte Carlo Simulation uses stochastic calculus and random number generation to simulate thousands (or millions) of potential future price paths for underlying assets, building a full probability distribution of outcomes.
Statement 2 is correct: Because it re-evaluates the entire portfolio under every simulated path, it is the most accurate method for capturing complex, non-linear risks, such as those found in options (Gamma/Curvature risk) and exotic derivatives.
Statement 3 is incorrect: The statement falsely describes the limitation of the Historical Simulation method, not Monte Carlo.
Monte Carlo's primary advantage is that it is NOT constrained by past historical data; it can simulate unprecedented, extreme black swan scenarios that have never actually occurred in the market's history.
Statement 2 is correct: Because it re-evaluates the entire portfolio under every simulated path, it is the most accurate method for capturing complex, non-linear risks, such as those found in options (Gamma/Curvature risk) and exotic derivatives.
Statement 3 is incorrect: The statement falsely describes the limitation of the Historical Simulation method, not Monte Carlo.
Monte Carlo's primary advantage is that it is NOT constrained by past historical data; it can simulate unprecedented, extreme black swan scenarios that have never actually occurred in the market's history.