In: Statistics and Probability
1. Followings Tables shows previous 11 months stock market returns.
Date |
Monthly SP500 Return |
Monthly DJIA Return |
12/7/2007 |
-0.8628 |
-0.7994 |
1/8/2008 |
-6.1163 |
-4.6323 |
2/8/2008 |
-3.4761 |
-3.0352 |
3/8/2008 |
-0.5960 |
-0.0285 |
4/8/2008 |
4.7547 |
4.5441 |
5/8/2008 |
1.0674 |
-1.4182 |
6/8/2008 |
-8.5962 |
-10.1937 |
7/8/2008 |
-0.9859 |
0.2468 |
8/8/2008 |
1.2191 |
1.4548 |
9/8/2008 |
-9.2054 |
-6.0024 |
10/8/2008 |
-16.8269 |
-4.8410 |
Let consider we know the variance of monthly return for all stock were 25 percent in 2008, perform the following hypothesis for each index:
Ho :µ= -5
Ha :µ ≠-5
Considering the population variance is unknown, perform a hypothesis test if the average stock return is 0 or not for each index:
Ho :µ= 0
Ha :µ ≠ 0
Perform following hypothesis based on all assumption we had in 2)
Ho :µ≥ -3
Ha :µ < -3
Let’s consider the population mean of SP500 as µ1 and that of DJIA as µ2 while none of population variance is known. Test following hypothesis:
Ho :µ1=µ2
Ha :µ1 ≠µ2
Let’s consider the population variance of SP500 as σ21 and that of DJIA as σ22, and none of them are known. Test following hypothesis:
Ho :σ21=σ22
Ha :σ21 ≠σ22
6) Perform the following hypothesis test
Ho :σ21≤σ22
Ha :σ21 >σ22
ans::
as for given data
1) a)
Two-sample T for Monthly vs Monthly DJIA Return
N Mean StDev SE Mean
Monthly 11 -3.60 6.13 1.8
Monthly DJIA Return 11 -2.25 4.05 1.2
Difference = μ (Monthly) - μ (Monthly DJIA Return)
Estimate for difference: -1.36
95% CI for difference: (-5.98, 3.26)
T-Test of difference = -5 (vs ≠): T-Value = 1.64 P-Value = 0.116 DF
= 20
Both use Pooled StDev = 5.1956
b)
Two-sample T for Monthly vs Monthly DJIA Return
N Mean StDev SE Mean
Monthly 11 -3.60 6.13 1.8
Monthly DJIA Return 11 -2.25 4.05 1.2
Difference = μ (Monthly) - μ (Monthly DJIA Return)
Estimate for difference: -1.36
95% CI for difference: (-5.98, 3.26)
T-Test of difference = 0 (vs ≠): T-Value = -0.61 P-Value = 0.547 DF
= 20
Both use Pooled StDev = 5.1956
c)
Two-sample T for Monthly vs Monthly DJIA Return
N Mean StDev SE Mean
Monthly 11 -3.60 6.13 1.8
Monthly DJIA Return 11 -2.25 4.05 1.2
Difference = μ (Monthly) - μ (Monthly DJIA Return)
Estimate for difference: -1.36
95% lower bound for difference: -5.18
T-Test of difference = -3 (vs >): T-Value = 0.74 P-Value = 0.233
DF = 20
Both use Pooled StDev = 5.1956
d)
Two-Sample T-Test and CI: Monthly, Monthly DJIA Return
Two-sample T for Monthly vs Monthly DJIA Return
N Mean StDev SE Mean
Monthly 11 -3.60 6.13 1.8
Monthly DJIA Return 11 -2.25 4.05 1.2
Difference = μ (Monthly) - μ (Monthly DJIA Return)
Estimate for difference: -1.36
95% lower bound for difference: -5.21
T-Test of difference = -3 (vs >): T-Value = 0.74 P-Value = 0.234
DF = 17
e)
Test and CI for Two Variances: Monthly, Monthly DJIA Return
Method
Null hypothesis σ(Monthly) / σ(Monthly DJIA Return) = 1
Alternative hypothesis σ(Monthly) / σ(Monthly DJIA Return) ≠
1
Significance level α = 0.05
F method was used. This method is accurate for normal data only.
Statistics
95% CI for
Variable N StDev Variance StDevs
Monthly 11 6.131 37.584 (4.284, 10.759)
Monthly DJIA Return 11 4.050 16.404 (2.830, 7.108)
Ratio of standard deviations = 1.514
Ratio of variances = 2.291
95% Confidence Intervals
CI for
CI for StDev Variance
Method Ratio Ratio
F (0.785, 2.918) (0.616, 8.516)
Tests
Test
Method DF1 DF2 Statistic P-Value
F 10 10 2.29 0.207
f)
Test and CI for Two Variances: Monthly, Monthly DJIA Return
Method
Null hypothesis σ(Monthly) / σ(Monthly DJIA Return) = 1
Alternative hypothesis σ(Monthly) / σ(Monthly DJIA Return) >
1
Significance level α = 0.05
Statistics
95% Lower
Bound for
Variable N StDev Variance StDevs
Monthly 11 6.131 37.584 3.973
Monthly DJIA Return 11 4.050 16.404 2.832
Ratio of standard deviations = 1.514
Ratio of variances = 2.291
95% One-Sided Confidence Intervals
Lower Bound Lower Bound
for StDev for Variance
Method Ratio Ratio
Bonett 0.710 0.504
Levene 0.620 0.384
Tests
Test
Method DF1 DF2 Statistic P-Value
Bonett 1 — 1.06 0.151
Levene 1 20 0.77 0.196
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