
Answer-first summary for fast verification
Answer: 0.4578
## Explanation To solve this VaR change problem, we need to calculate the daily VaR for both the original and new portfolios. ### Step 1: Calculate Daily Volatilities - Daily volatility = Annual volatility / √250 - σ_A_daily = 25% / √250 = 0.25 / 15.8114 = 0.01581 - σ_B_daily = 20% / √250 = 0.20 / 15.8114 = 0.01265 ### Step 2: Original Portfolio (A=100, B=50) Portfolio variance: σ²_p = w_A²σ_A² + w_B²σ_B² + 2w_Aw_Bρσ_Aσ_B = (100²)(0.01581²) + (50²)(0.01265²) + 2(100)(50)(0.2)(0.01581)(0.01265) = (10000)(0.00025) + (2500)(0.00016) + 2(100)(50)(0.2)(0.0002) = 2.5 + 0.4 + 0.4 = 3.3 σ_p = √3.3 = 1.8166 Daily VaR (99%) = 2.326 × σ_p = 2.326 × 1.8166 = 4.225 ### Step 3: New Portfolio (A=50, B=100) Portfolio variance: σ²_p = (50²)(0.01581²) + (100²)(0.01265²) + 2(50)(100)(0.2)(0.01581)(0.01265) = (2500)(0.00025) + (10000)(0.00016) + 2(50)(100)(0.2)(0.0002) = 0.625 + 1.6 + 0.4 = 2.625 σ_p = √2.625 = 1.6202 Daily VaR (99%) = 2.326 × 1.6202 = 3.768 ### Step 4: Calculate Change VaR change = New VaR - Original VaR = 3.768 - 4.225 = -0.457 Since the question asks "how would the daily VaR change" and the options are positive values, we take the absolute value: 0.4578 **Therefore, the correct answer is B. 0.4578**
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The bank's trading book consists of the following two assets:
| Asset | Annual Return | Volatility of Annual Return | Value |
|---|---|---|---|
| A | 10% | 25% | 100 |
| B | 20% | 20% | 50 |
Correlation (A, B) = 0.2
How would the daily VaR at 99% level change if the bank sells 50 worth of asset A and buys 50 worth of asset B? Assume there are 250 trading days in a year. (μ₁-day = 0)
A
0.2286
B
0.4578
C
0.7705
D
0.7798