Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

Juan was asked by his boss to develop a forecast model for the WTI Spot crude oil price. Juan was eager to show off his

Juan was asked by his boss to develop a forecast model for the WTI Spot crude oil price. Juan was eager to show off his regression skills and was confident he could build a model that would accurately predict the WTI spot price. After receiving a file of the Cushing OK WTI Spot Price, he got to work. Juan started by first plotting the time series data in Excel and determining if there were any trends or seasonality. He decided to start by building several models.

As Juan was reviewing the modeling results, his colleague, Mary, commented that he might want to try other forecasting methods that are simpler and may provide better forecasts. Mary suggested to try Moving Average and Exponential Smoothing models to try and generate a more accurate forecast

Day Weekly Cushing OK WTI Spot Price FOB Dollars per Barrel
5/26/1995 19.37
5/19/1995 19.98
5/12/1995 19.74
5/5/1995 20.24
4/28/1995 20.29
4/21/1995 20.26
4/14/1995 19.53
4/7/1995 19.43
3/31/1995 19.12
3/24/1995 18.69
3/17/1995 18.13
3/10/1995 18.27
3/3/1995 18.5
2/24/1995 18.75
2/17/1995 18.55
2/10/1995 18.42
2/3/1995 18.5
1/27/1995 18.34
1/20/1995 18.45
1/13/1995 17.55
1/6/1995 17.62
12/30/1994 17.71
12/23/1994 17.1
12/16/1994 16.86
12/9/1994 16.99
12/2/1994 17.78
11/25/1994 17.73
11/18/1994 17.51
11/11/1994 18.25
11/4/1994 18.69
10/28/1994 17.93
10/21/1994 17.35
10/14/1994 17.37
10/7/1994 18.13
9/30/1994 17.83
9/23/1994 17.38
9/16/1994 16.93
9/9/1994 17.65
9/2/1994 17.52
8/26/1994 17.23
8/19/1994 17.85
8/12/1994 18.88
8/5/1994 20.09
7/29/1994 19.66
7/22/1994 19.39
7/15/1994 20.16
7/8/1994 19.39
7/1/1994 19.16
6/24/1994 19.8
6/17/1994 19.61
6/10/1994 18.26
6/3/1994 18.24
5/27/1994 18.14
5/20/1994 18.21
5/13/1994 17.93
5/6/1994 17.2
4/29/1994 16.93
4/22/1994 17.02
4/15/1994 16.07
4/8/1994 15.65
4/1/1994 14.44
3/25/1994 15.15
3/18/1994 14.82
3/11/1994 14.24
3/4/1994 14.68
2/25/1994 14.44
2/18/1994 14.13
2/11/1994 14.87
2/4/1994 15.76
1/28/1994 15.34
1/21/1994 15.02
1/14/1994 14.67
1/7/1994 15.03
12/31/1993 14.21
12/24/1993 14.4
12/17/1993 14.31
12/10/1993 14.68
12/3/1993 15.21
11/26/1993 16.08
11/19/1993 16.75
11/12/1993 16.71
11/5/1993 17.29
10/29/1993 17.37
10/22/1993 18.12
10/15/1993 18.57
10/8/1993 18.46
10/1/1993 18.33
9/24/1993 17.67
9/17/1993 16.94
9/10/1993 16.96
9/3/1993 18.1
8/27/1993 18.49
8/20/1993 17.84
8/13/1993 17.87
8/6/1993 17.67
7/30/1993 18.18
7/23/1993 17.54
7/16/1993 17.72
7/9/1993 18.02
7/2/1993 18.61
6/25/1993 18.52
6/18/1993 18.76
6/11/1993 19.43
6/4/1993 19.95
5/28/1993 19.84
5/21/1993 19.43
5/14/1993 20.06
5/7/1993 20.47
4/30/1993 20.3
4/23/1993 19.95
4/16/1993 20.28
4/9/1993 20.37
4/2/1993 20.44
3/26/1993 20
3/19/1993 20.14
3/12/1993 20.45
3/5/1993 20.69
2/26/1993 20.4
2/19/1993 19.51
2/12/1993 20.13
2/5/1993 20.22
1/29/1993 19.9
1/22/1993 18.61
1/15/1993 18.62
1/8/1993 19
1/1/1993 19.63
12/25/1992 19.91
12/18/1992 19.38
12/11/1992 19.01
12/4/1992 19.38
11/27/1992 20.16
11/20/1992 20.35
11/13/1992 20.37
11/6/1992 20.52
10/30/1992 20.95
10/23/1992 21.58
10/16/1992 22.25
10/9/1992 21.9
10/2/1992 21.81
9/25/1992 21.71
9/18/1992 22.21
9/11/1992 21.94
9/4/1992 21.66
8/28/1992 21.43
8/21/1992 21.39
8/14/1992 21.18
8/7/1992 21.34
7/31/1992 21.95
7/24/1992 21.95
7/17/1992 21.58
7/10/1992 21.48
7/3/1992 22.03
6/26/1992 22.68
6/19/1992 22.26
6/12/1992 22.35
6/5/1992 22.38
5/29/1992 21.98
5/22/1992 20.49
5/15/1992 20.8
5/8/1992 20.86
5/1/1992 20.63
4/24/1992 20.06
4/17/1992 20.06
4/10/1992 20.43
4/3/1992 19.73
3/27/1992 19.09
3/20/1992 19.1
3/13/1992 18.76
3/6/1992 18.55
2/28/1992 18.51
2/21/1992 18.62
2/14/1992 19.49
2/7/1992 19.42
1/31/1992 19.05
1/24/1992 18.66
1/17/1992 18.81
1/10/1992 18.41
1/3/1992 19.11
12/27/1991 18.68
12/20/1991 19.2
12/13/1991 19.64
12/6/1991 20.55
11/29/1991 21.49
11/22/1991 22.04
11/15/1991 22.57
11/8/1991 23.47
11/1/1991 23.32
10/25/1991 23.46
10/18/1991 23.82
10/11/1991 23.08
10/4/1991 22.41
9/27/1991 22.24
9/20/1991 21.85
9/13/1991 21.54
9/6/1991 21.84
8/30/1991 21.98
8/23/1991 21.99
8/16/1991 21.44
8/9/1991 21.5
8/2/1991 21.46
7/26/1991 21.4
7/19/1991 21.91
7/12/1991 21.43
7/5/1991 20.8
6/28/1991 20.21
6/21/1991 20.08
6/14/1991 19.84
6/7/1991 20.63
5/31/1991 21.21
5/24/1991 21.04
5/17/1991 20.95
5/10/1991 21.69
5/3/1991 21.23

QUESTIONS:

1. Generate Moving Averages of 2, 3, 5, and 10 weeks and forecast WTI for the next period.

2. Calculate the MAD for each Moving Average model and comment on which is the best model among these.

3. Generate Exponential Smoothing models with alpha of 0.2, 0.4, 0.6 and 0.8. Forecast WTI for the next period.

4. Calculate the MAD for each Exponential Smoothing model and comment on which is the best model among these.

5. Plot the Moving Average models with the actual WTI on one chart AND on a separate chart plot the Exponential Smoothing models with actual WTI.

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Stage Management

Authors: Lawrence Stern

5th Edition

0615001351, 978-0615001357

More Books

Students also viewed these General Management questions