2. Following is the result (abstract) of the exponential trend model estimated for NYSE volume Dependent Variable: NYSEVOL Sample: 1900M01 2004M04 Included observations: 1252 NYSEVOL=C(1) *EXP(C(2) *T) C(1) C(2) Coefficient 0.001764 0.01346 Std. Error t-Statistic Prob. 0.000253 6.980175 0.000118 114.069 0 0
2. Following is the result (abstract) of the exponential trend model estimated for NYSE volume Dependent Variable: NYSEVOL Sample: 1900M01 2004M04 Included observations: 1252 NYSEVOL=C(1) *EXP(C(2) *T) C(1) C(2) Coefficient 0.001764 0.01346 Std. Error t-Statistic Prob. 0.000253 6.980175 0.000118 114.069 0 0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![2. Following is the result (abstract) of the exponential trend model estimated for NYSE volume:
Dependent Variable: NYSEVOL
Sample: 1900M01 2004M04
Included observations: 1252
NYSEVOL=C(1)*EXP(C(2)*T)
C(1)
C(2)
R-squared
Adjusted R-squared
2004M05
Coefficient
0.001764
0.01346
Fill in the following table (show steps)
Period Forecast of NYSEVOL
2004M06
Std. Error t-Statistic Prob.
6.980175
114.069
0.000253
0.000118
0.973366 Mean dependent var
0.973345
S.D. dependent var
Actual
30000.65
28799.13
0
0
2199.099
5970.693
Forecast errors](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F076d342c-b6a7-43ec-9645-fafd8eba6242%2F28f169c1-ca32-4fc4-95e9-fefc10145b42%2Fmuesof_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2. Following is the result (abstract) of the exponential trend model estimated for NYSE volume:
Dependent Variable: NYSEVOL
Sample: 1900M01 2004M04
Included observations: 1252
NYSEVOL=C(1)*EXP(C(2)*T)
C(1)
C(2)
R-squared
Adjusted R-squared
2004M05
Coefficient
0.001764
0.01346
Fill in the following table (show steps)
Period Forecast of NYSEVOL
2004M06
Std. Error t-Statistic Prob.
6.980175
114.069
0.000253
0.000118
0.973366 Mean dependent var
0.973345
S.D. dependent var
Actual
30000.65
28799.13
0
0
2199.099
5970.693
Forecast errors
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