Give step-by-step solution with explanation and final answer:| Roenfeld Corp believes the following probability distribution exists for its stock. What is |
the coefficient of variation on the company's stock? (Hint: you must calculate the
| expected return AND standard deviation to calculate the coefficient of variation)
| State of the economy Probability of State Expected Return
Boom 045 25%
ve | Normal 0.50 15% |
| Recession Kk 00s 5%
Question:
Give step-by-step solution with explanation and final answer:| Roenfeld Corp believes the following probability distribution exists for its stock. What is |
the coefficient of variation on the company's stock? (Hint: you must calculate the
| expected return AND standard deviation to calculate the coefficient of variation)
| State of the economy Probability of State Expected Return
Boom 045 25%
ve | Normal 0.50 15% |
| Recession Kk 00s 5%
This is AI generated Response.
Asked by: nayan
Created at: 2025-09-14 16:54:44
Final Answer:
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# Step-by-Step Solution
Let's solve the problem step by step:
### **Given Data**
| State of Economy | Probability (P) | Return (R) |
|------------------|-----------------|------------|
| Boom | 0.45 | 25% |
| Normal | 0.50 | 15% |
| Recession | 0.05 | 5% |
---
## **Step 1: Calculate Expected Return (\(\bar{R}\))**
\[
\bar{R} = \sum [P_i \times R_i]
\]
\[
\bar{R} = (0.45 \times 0.25) + (0.50 \times 0.15) + (0.05 \times 0.05)
\]
\[
\bar{R} = 0.1125 + 0.075 + 0.0025 = 0.19
\]
**Expected Return = 19%**
---
## **Step 2: Calculate Standard Deviation (\(\sigma\))**
\[
\sigma = \sqrt{\sum [P_i \times (R_i - \bar{R})^2]}
\]
Calculate each squared deviation:
- For Boom: \( (0.25 - 0.19)^2 = (0.06)^2 = 0.0036 \)
- For Normal: \( (0.15 - 0.19)^2 = (-0.04)^2 = 0.0016 \)
- For Recession: \( (0.05 - 0.19)^2 = (-0.14)^2 = 0.0196 \)
Multiply by probabilities:
- Boom: \(0.45 \times 0.0036 = 0.00162\)
- Normal: \(0.50 \times 0.0016 = 0.0008\)
- Recession: \(0.05 \times 0.0196 = 0.00098\)
Sum:
\[
0.00162 + 0.0008 + 0.00098 = 0.0034
\]
Take the square root:
\[
\sigma = \sqrt{0.0034} \approx 0.0583
\]
**Standard Deviation = 5.83%**
---
## **Step 3: Calculate Coefficient of Variation (CV)**
\[
CV = \frac{\sigma}{\bar{R}}
\]
\[
CV = \frac{0.0583}{0.19} \approx 0.307
\]
---
## **Final Answers**
- **Expected Return:** **19%**
- **Standard Deviation:** **5.83%**
- **Coefficient of Variation:** **0.307** (or **30.7%**)
---
### **Summary Table**
| Statistic | Value |
|------------------------|-------------|
| Expected Return (\(\bar{R}\)) | 19% |
| Standard Deviation (\(\sigma\)) | 5.83% |
| Coefficient of Variation (CV) | 0.307 (30.7%) |
---
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