Here are earnings per share for two companies by quarter from the first quarter of three years ago through the second quarter of this year. Forecast earnings per share for the rest of this year and next year. Use exponential smoothing to forecast the third period of this year, and the time series decomposition method to forecast the last two quarters of this year and all four quarters of next year.
|
EARNINGS PER SHARE |
||||
| QUARTER | COMPANY A | COMPANY B | ||
| 3 years ago | I | $ 1.66 | $ 0.16 | |
| II | 2.38 | 0.21 | ||
| III | 1.18 | 0.25 | ||
| IV | 1.20 | 0.34 | ||
| 2 years ago | I | 1.64 | 0.26 | |
| II | 2.06 | 0.35 | ||
| III | 1.22 | 0.35 | ||
| IV | 0.32 | 0.45 | ||
| last year | I | 0.32 | 0.33 | |
| II | –0.25 | (loss) | 0.47 | |
| III | –0.91 | (loss) | 0.48 | |
| IV | 0.21 | 0.49 | ||
| this year | I | –1.63 | (loss) | 0.26 |
| II | 0.35 | 0.49 | ||
a. For the exponential smoothing method, choose the first quarter of 3 years ago as the beginning forecast. Make two forecasts: one with α = 0.10 and one with α = 0.30. (Negative values should be indicated by a minus sign. Round your answers to 3 decimal places.)
| Company A | Company B | |||||
| Quarter | Forecast α = 0.10 |
Forecast α = 0.30 |
Forecast α = 0.10 |
Forecast α = 0.30 |
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| 3 years ago | I | |||||
| II | ||||||
| III | ||||||
| IV | ||||||
| 2 years ago | I | |||||
| II | ||||||
| III | ||||||
| IV | ||||||
| last year | I | |||||
| II | ||||||
| III | ||||||
| IV | ||||||
| this year | I | |||||
| II | ||||||
| III | ||||||
b-1. Calculate the MAD for each forecast using data starting with second quarter of 3 years ago through second quarter of this year. (Round your answers to 3 decimal places.)
| MAD | ||
| Company A | Company B | |
| α = 0.10 | ||
| α = 0.30 | ||
Please find attached solution for the problem in the picture attached.
A basic calculation is performed so as an example to explain the formula.


Here are earnings per share for two companies by quarter from the first quarter of three...
Here are earnings per share for two companies by quarter from the first quarter of three years ago through the second quarter of this year. Forecast earnings per share for the rest of this year and next year. Use exponential smoothing to forecast the third period of this year, and the time series decomposition method to forecast the last two quarters of this year and all four quarters of next year. (It is much easier to solve this problem on...
b-2. Using the MAD method of testing the forecasting model's performance, plus actual data from 3 years ago through the second quarter of this year, how well did the model perform? Based on MAD, an a performs better than an a of (Click to select) c. Using the decomp (Click to select) 0.3 0.2 hod of forecasting, forecast earnings per share for the last two quarters of this year and all four quarters of next year. (Negative values should be...
The number of heart surgeries performed at Heartville General Hospital has increased steadily over the past several years. The hospital's administration is seeking the best method to forecast the demand for such surgeries in year 6. The data for the past five years are shown below. 4 Year Demand 1 44 2 47 3 53 5 58 55 The hospital's administration is considering the following forecasting methods. Begin error measurement in year 3, so all methods are compared for the...
Complete PART (b) ONLY. Please use answer from Part
(a). Please complete this using EXCEL; SHow the steps/ excel
calculations.
Month
Actual Demand
1
62
2
65
3
67
4
68
5
71
6
73
7
76
8
78
9
78
10
80
11
84
12
85
part (a)
MY answer to Part (a):
Part (b)
(b) Now calculate all the measures of
forecasting accuracy listed below for the single exponential
smoothing forecast completed in part (a)
-i) MAPE (Mean...
You are an operation manager at Gambas Berhad. You plan to use several forecasting methods for the purpose. The following data represent the actual monthly company sales for 2018. Month Value (RM000 32 41 53 59 46 31 27 24 10 35 54 105 Ja March ril un August ber November December (a) Calculate the Mean Absolute Deviation (MAD) and make a forecast for January 2019 sales based on the following methods: i. 4-month moving average. (5 marks) i. Weighted...
b) In your opinion, which one is most critical in a retail sales environment and why? (3.5 marks) Q 2 (10 marks) A car parts manufacturer has had monthly sales for a five-month period as follows: Sales (000 units) Month January February March April May Forecast June's sales volume, using cach of the following: i. A four-month moving average (2 Marks) ii. Exponential smooth with a smoothing constant of 0.10, assuming a February forecast of 19(000). (2 Marks) iii. The...
Pina Company has four operating divisions. During the first
quarter of 2017, the company reported aggregate income from
operations of $212,300 and the following divisional
results.
Division
I
II
III
IV
Sales
$254,000
$199,000
$501,000
$443,000
Cost of goods sold
204,000
190,000
301,000
247,000
Selling and administrative expenses
69,700
61,000
57,000
55,000
Income (loss) from operations
$ (19,700)
$ (52,000)
$143,000
$141,000
Analysis reveals the following percentages of variable costs in
each division.
I
II
III
IV
Cost of goods...
The quarterly sales in units for “Retailsale Sports” for the last two years are as follows: Quarter Year 1 Year 2 I 440 560 II 460 490 III 420 500 IV 390 400 Using linear regression, a straight line was fitted to the sales data. Assume that the equation of the fitted line is Y = 420 + 6 × t. The first quarter in the data is labeled t = 1. Calculate seasonal indexes for this product using the...
Pina Company has four operating divisions. During the first quarter of 2017, the company reported aggregate income from operations of $212,300 and the following divisional results. Sales Cost of goods sold Selling and administrative expenses Income (loss) from operations $254,000 204,000 69,700 $ (19,700) Division III $199,000 $501,000 190,000 301,000 61,000 57,000 $ (52,000) $143,000 IV $443,000 247,000 55,000 $141,000 Analysis reveals the following percentages of variable costs in each division. Cost of goods sold Selling and administrative expenses I...
answer 1-3 please don't copy from previous post. good luck Problems #3, 5, 7 (P3) The owner of the Chocolate Outlet Store wants to forecast chocolate demand. Demand for the preceding four years is shown in the following table: Year Demand (Pounds) 1 68,800 2 71,000 3 75,500 4 71,200 Forecast demand for Year 5 using the following approaches: (1) a three-year moving average; (2) a three-year weighted moving average using .40 for Year 4, .20 for Year 3, and...