State of the market | Probability | Expected Return X | Expected Return Y |
---|---|---|---|
Boom | 5% | +30% | +2% |
Normal | 15% | +3% | -5% |
Recession | 80% | -5% | -10% |
1) IN the context of scenario analysis: what is expected return? What is Standard Deviation? How are they used to analyze possible securities?
2) Ca lulate the expdected return and standard deviation of stock X and stock Y.
1.
Scenario analysis refers to analysis of possible future events for example in above case, Boom, Normal & Recession are three scenario in future for the market.
In the context of scenario analysis - Expected Return {E(r)}
Expected Return E(r) is the weighted average of return of all possible scenario where weights are probability of scenario.
where,
R = Expected Return in different scenario
P = Probability of different scenario
In the context of scenario
analysis - Standard deviation ()
Standard deviation is a measure of deviation of return from Expected return E(r). In the context of scenario analysis, standard deviation weighted average of square of deviation where weights are probability of possible scenario.
Where
R = Return in different scenario
E(r) = Expected Return as explained above
P = Probability of different scenario
2.
Calculation of Expected Return and Standard deviation of Stock X and Stock Y
STOCK-X | |||||
State of the Market | Probability (P) | Return X (Rx) | (P*Rx) | D={Rx - E(rx)}^2 | (D*P) |
Boom | 0.05 | 0.3 | 0.015 | 0.10272 | 0.00514 |
Normal | 0.15 | 0.03 | 0.0045 | 0.00255 | 0.00038 |
Recession | 0.80 | -0.05 | -0.04 | 0.00087 | 0.00070 |
Expected Return E(rx) | -0.0205 |
Standard deviation ( |
0.00621 | ||
STOCK -Y | |||||
State of the Market | Probability (P) | Return Y (Ry) | (P*Ry) | D={Ry - E(ry)}^2 | (D*P) |
Boom | 0.05 | 0.02 | 0.001 | 0.01134 | 0.00057 |
Normal | 0.15 | -0.05 | -0.0075 | 0.00133 | 0.00020 |
Recession | 0.80 | -0.1 | -0.08 | 0.00018 | 0.00015 |
Expected Return E(ry) | -0.0865 |
Standard deviation ( |
0.00091 |
Please refer to below image for excel formula reference -
Formula reference -
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