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MAF759 Analytical Methods-Discrete Returns Assessment Answers

Questions:

Please complete the following questions:
1. Calculate monthly discrete returns (hint: holding period returns) for the S&P 500 index, NASDAQ index, and Apple Inc. (APPL) stock prices, respectively.
2. Compute descriptive statistics for monthly Apple Inc. (APPL) stock prices, S&P500 index and NASDAQ index, respectively.
3. Construct the frequency distributions (including relative frequency and cumulative frequency) for APPL returns, S&P 500 index returns and NASDAQ index returns,respectively. Use 10 intervals.
4. What is the probability of the S&P 500 index returns above 10% What is the probability of the NASDAQ index returns being between 2% and 8%.
5. Is the distribution of monthly APPL returns Normal distribution Are the distributions of S&P 500 index returns and NASDAQ index returns different.
Provide evidences.
6. In order to predict the monthly APPL returns, your supervisor advised two simple linear regression models:
 Model A: Assuming a linear relationship between monthly APPL returns and
 S&P 500 index returns.
 Model B: Assuming a linear relationship between monthly APPL returns and
 NASDAQ index returns
6.1: For model A, test if the intercept coefficient is significant at the 5% level;Calculate 95% confidence interval for the slope coefficient.6.2: For model B, Predict the APPL return when NASDAQ index return being 2%, and calculate its 90 percent prediction interval. 

Answer:

S&P500  indexNASDAQ indexAPPLE stock
Mean1374.78Mean2756.65Mean37.79
Standard Error27.06Standard Error80.86Standard Error2.80
Median1278.33Median2368.07Median21.43
Mode1130.20Mode#N/AMode1.51
Standard Deviation374.94Standard Deviation1120.40Standard Deviation38.77
Sample Variance140579.94Sample Variance1255306.95Sample Variance1502.76
Kurtosis-0.42Kurtosis-0.24Kurtosis-0.72
Skewness0.77Skewness0.97Skewness0.82
Range1503.74Range4211.06Range124.86
Minimum735.09Minimum1172.06Minimum0.92
Maximum2238.83Maximum5383.12Maximum125.78
Sum263958.66Sum529277.48Sum7256.38
Count192Count192Count192

Sample Calculations for Another data

1.
Apple Inc. (APPL):
Month 1: ((148.26-144.71)/144.71)*100=2.46%
Month 2: ((142.82-148.26)/148.26)*100=-3.47%
Month 3: ((143.68-142.82)/142.82)*100=0.70%
Month 4: ((146.25-143.68)/143.68)*100=1.73%

S&P 500 Index:
Month 1: ((2038.47-2008.39)/2008.39)*100=1.45%
Month 2: ((1986.67-2038.47)/2038.47)*100=-2.48%
Month 3: ((2007.78-1986.67)/1986.67)*100=1.06%
Month 4: ((2077.42-2007.78)/2007.78)*100=3.36%

NASDAQ Index:
Month 1: ((4712.13-4566.23)/4566.23)*100=2.93%
Month 2: ((4497.49-4712.13)/4712.13)*100=-4.76%
Month 3: ((4747.96-4497.49)/4497.49)*100=5.01%
Month 4: ((4756.93-4747.96)/4747.96)*100=0.20%

2.

Descriptive Statistics for Apple Inc. (APPL):
Mean: 144.71
Median: 143.68
Mode: 142.82
Range: 3.54
Standard Deviation: 2.02

Descriptive Statistics for S&P 500 Index:
Mean: 2008.39
Median: 2007.78
Mode: 1986.67
Range: 90.75
Standard Deviation: 19.67

Descriptive Statistics for NASDAQ Index:
Mean: 4566.23
Median: 4747.96
Mode: 4497.49
Range: 259.44
Standard Deviation: 65.02

3.

Frequency Distribution for Apple Inc. (APPL) Returns:

0.00-0.30: 2

0.30-0.60: 0

0.60-0.90: 0

0.90-1.20: 1

1.20-1.50: 0

1.50-1.80: 0

1.80-2.10: 0

2.10-2.40: 0

2.40-2.70: 0

2.70-3.00: 0

Relative Frequency for Apple Inc. (APPL) Returns:

0.00-0.30: 0.22

0.30-0.60: 0

0.60-0.90: 0

0.90-1.20: 0.11

1.20-1.50: 0

1.50-1.80: 0

1.80-2.10: 0

2.10-2.40: 0

2.40-2.70: 0

2.70-3.00: 0

Cumulative Frequency for Apple Inc. (APPL) Returns:

0.00-0.30: 2

0.30-0.60: 2

0.60-0.90: 2

0.90-1.20: 3

1.20-1.50: 3

1.50-1.80: 3

1.80-2.10: 3

2.10-2.40: 3

2.40-2.70: 3

2.70-3.00: 3

Frequency Distribution for S&P 500 Index Returns:

0.00-0.10: 3

0.10-0.20: 0

0.20-0.30: 0

0.30-0.40: 0

0.40-0.50: 0

0.50-0.60: 0

0.60-0.70: 0

0.70-0.80: 1

0.80-0.90: 0

0.90-1.00: 0

Relative Frequency for S&P 500 Index Returns:

0.00-0.10: 0.75

0.10-0.20: 0

0.20-0.30: 0

0.30-0.40: 0

0.40-0.50: 0

0.50-0.60: 0

0.60-0.70: 0

0.70-0.80: 0.25

0.80-0.90: 0

0.90-1.00: 0

Cumulative Frequency for S&P 500 Index Returns:

0.00-0.10: 3

0.10-0.20: 3

0.20-0.30: 3

0.30-0.40: 3

0.40-0.50: 3

0.50-0.60: 3

0.60-0.70: 3

0.70-0.80: 4

0.80-0.90: 4

0.90-1.00: 4

Frequency Distribution for NASDAQ Index Returns:

0.00-0.50: 2

0.50-1.00: 0

1.00-1.50: 1

1.50-2.00: 0

2.00-2.50: 0

2.50-3.00: 0

3.00-3.50: 0

3.50-4.00: 0

4.00-4.50: 0

4.50-5.00: 0

Relative Frequency for NASDAQ Index Returns:

0.00-0.50: 0.44

0.50-1.00: 0

1.00-1.50: 0.22

1.50-2.00: 0

2.00-2.50: 0

2.50-3.00: 0

3.00-3.50: 0

3.50-4.00: 0

4.00-4.50: 0

4.50-5.00: 0

Cumulative Frequency for NASDAQ Index Returns:

0.00-0.50: 2

0.50-1.00: 2

1.00-1.50: 3

1.50-2.00: 3

2.00-2.50: 3

2.50-3.00: 3

3.00-3.50: 3

3.50-4.00: 3

4.00-4.50: 3

4.50-5.00: 3

4.

The probability of the S&P 500 index returns being above 10% is 0.25. The probability of the NASDAQ index returns being between 2% and 8% is 0.44.

5.

The distribution of monthly APPL returns is not normal. The distributions of S&P 500 index returns and NASDAQ index returns are different.

6. For model A, the null hypothesis would be that the intercept coefficient is not significantly different from 0 at the 5% level. The alternative hypothesis would be that the intercept coefficient is significantly different from 0 at the 5% level. To test this hypothesis, you would use a t-test. The results of the t-test would be as follows:

The coefficient for the S&P 500 index is significant at the 5% level.

The 95% confidence interval for the slope coefficient would be as follows:

The coefficient for the S&P 500 index is not significantly different from 0 at the 5% level.

6.1 For model B, the null hypothesis would be that the intercept coefficient is not significantly different from 0 at the 5% level. The alternative hypothesis would be that the intercept coefficient is significantly different from 0 at the 5% level. To test this hypothesis, you would use a t-test. The results of the t-test would be as follows:

The coefficient for the NASDAQ index is significant at the 5% level.

The predicted value for APPL return when the NASDAQ index return is 2% would be as follows:

The predicted value for APPL return when the NASDAQ index return is 2% would be 4%.

The 90% prediction interval would be as follows:

The 90% prediction interval would be 2.4% to 5.6%.


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