Calculate Fisher's Ideal Index from the following data and prove that it satisfies boththe time reversal and factor reversal tests:19931994CommoditiesPriceValuePriceValueA88010120101201296540550D456360E2010025150

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Answered: Calculate Fisher's Ideal Index from the…

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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Hudson Marine provides boats sales, service, and maintenance. Boat trailers are one of its top sales items. Suppose the quarterly sales values for the seven years of historical data are as follows. Do not round intermediate calculations. a. Compute the centered moving average values (first find Four-Quarter Moving Average) for this time series (to 3 decimals). Centered Moving Average t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Sales 5 17 8 6 9 16 16 7 14 24 22 12 18 26 26 20 24 33 28 23 22 36 29 18 28 42 33 28 9.625 Year 1 2 3 4 5 6 7 Quarter 1 5 9 14 18 24 22 28 Quarter 2 17 16 24 26 33 36 42 Quarter 3 B 16 22 26 28 29 33 Quarter 4 6 7 12 20 23 18 28 Total Yearly Sales 36 48 72 90 108 105 131
2 20. Input the data from the table into a spreadsheet. 4 Compute the serial correlation in decade returns for each asset class and for inflation. Annual Returns, Correlation by Decade and Asset Class Serial Instructor Notes: Make sure students enter data as decimals. Point out to students that serial correlation with so few data points is inherently inaccurate. Correlation is found by comparing decade to previous decade.
Consider the following. March April May Month Demand. January 29 February March June April July May June July What is the forecast for July based on a three-month weighted moving average applied to the above past demand data and using the weights: data)? Show all the forecasts for April through June along with the answer Month Demand Forecast January 29 February 46 58 59 46 74 58 59 = 74 88 53 10 10 1:35:14 and (largest weight is for most recent 10
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21. Calculate Fisher's Ideal Index from the data given below and show that it satisfies the Time Reversal and Factor reversal tests. Year General Price Base Year Price Quantity Commodity Quantity 10 15 12 A 12 20 5 B 15 9 20 24 14 D 5 16
please answer both parts within 30 minutes..
Observations of the demand for a certain part stocked at a parts supply depot during the calendaryear 2013 were: Month Demand Month Demand Jan 89 july 223 Feb 57 august 286 mar 144 sept 212 april 221 oct 275 may 177 nov 188 june 280 dec 312 a) Using a four-month moving average, determine the one-step-ahead forecast for Julythrough December 2013.b) Using a four-month moving average, determine the two-step-ahead forecast for Julythrough December 2013.c) Obtain the MAD for the forecasts obtained in the above sections. Which method gavebetter results? Based on forecasting theory, which method should have given betterresults?
Develop a three-period moving average forecast for periods 13-15. Period 10 11 12 13 14 Demand 265 359 436 261 462 Calculate the forecasts for periods 13-15 by using a three-period moving average model (enter your responses rounded to the nearest whole number). Period Demand Forecast 10 265 11 359 12 436 13 261
Example 20.15) Calculate (a) a weighted average of price relatives and (b) a weighted aggregate price index, both for year 2 (based on year 1), for the following commodities: Price (Rs) Commodity Weight Year 1 Year 2 A 5 215 210 B 10 250 275 C 4 1,100 1,300 D 8 950 950 E 13 170 200

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Calculate Fisher's Ideal Index from the following data and prove that it satisfies both the time reversal and factor reversal tests: 1993 1994 Commodities Price Value Price Value A 8 80 10 120 в 10 120 12 96 5 40 5 50 D 4 56 3 60 E 20 100 25 150