• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
Free ACCA & CIMA online courses from OpenTuition

Free ACCA & CIMA online courses from OpenTuition

Free Notes, Lectures, Tests and Forums for ACCA and CIMA exams

  • ACCA
  • CIMA
  • FIA
  • OBU
  • Books
  • Forums
  • Ask AI
  • Search
  • Register
  • Login
  • ACCA Forums
  • Ask ACCA Tutor
  • CIMA Forums
  • Ask CIMA Tutor
  • FIA
  • OBU
  • Buy/Sell Books
  • All Forums
  • Latest Topics

20% off ACCA & CIMA Books

OpenTuition recommends the new interactive BPP books for March and June 2025 exams.
Get your discount code >>

Multiplicative

Forums › ACCA Forums › ACCA MA Management Accounting Forums › Multiplicative

  • This topic has 3 replies, 4 voices, and was last updated 6 years ago by nadeeshaa.
Viewing 4 posts - 1 through 4 (of 4 total)
  • Author
    Posts
  • April 18, 2015 at 8:14 pm #241760
    Miney85
    Participant
    • Topics: 2
    • Replies: 0
    • ☆

    Dear John,
    I am doing my revision and can’t understand this question.

    From BPP revision book.

    Q) Unemployment numbers actually recorded in a town for the second qua quaterrter of the year 2000 were 4700.
    The underlying trend at this point was 4300 people and thr seasonal factor is 0.92. Using multiplicative model for seasonal adjustment, what is the seasonally-adjusted fingure(in whole numbers) for the quarter?

    Thank you in advance.

    Regards,
    Yooji

    May 29, 2015 at 10:47 am #250137
    omar
    Member
    • Topics: 15
    • Replies: 18
    • ☆

    miney seasonal adjustment is another term used for trend and its calculated as follows

    actual series=trend + seasonal variation
    4700=y x 0.92
    y=4700/0.92
    y=5108.7

    August 27, 2015 at 1:34 pm #268785
    umidjon1990
    Member
    • Topics: 5
    • Replies: 10
    • ☆

    What is 4300 given for then?

    February 12, 2019 at 5:47 am #504836
    nadeeshaa
    Member
    • Topics: 0
    • Replies: 15
    • ☆

    H is forecasting its sales for next year using a combination of time series and regression analysis models. An analysis of past sales units has produced the following equation for the quarterly sales trend :

    Y = 26x + 8850

    Where the value of x represents the quarterly accounting period and the value of y represents the quarterly sales trend in units. Quarter 1 of next year will have a value of x of 25.

    The quarterly seasonal variations have been measured using the multiplicative model are :

    Quarter 1 -15%
    Quarter 2 -5%
    Quarter 3 +5%
    Quarter 4 +15%

    Production is planned to occur at a constant rate throughout the year.

    The company does not hold inventories at the end of any year.

    The difference between the budgeted sales for quarter 1 and quarter 4 next year are what?

    The answer given is 2940 units. Could you please explain me how that answer arrived?

  • Author
    Posts
Viewing 4 posts - 1 through 4 (of 4 total)
  • You must be logged in to reply to this topic.
Log In

Primary Sidebar

Donate
If you have benefited from our materials, please donate

ACCA News:

ACCA My Exam Performance for non-variant

Applied Skills exams is available NOW

ACCA Options:  “Read the Mind of the Marker” articles

Subscribe to ACCA’s Student Accountant Direct

ACCA CBE 2025 Exams

How was your exam, and what was the exam result?

BT CBE exam was.. | MA CBE exam was..
FA CBE exam was.. | LW CBE exam was..

Donate

If you have benefited from OpenTuition please donate.

PQ Magazine

Latest Comments

  • Nicholas1239798 on IASB Conceptual Framework – Introduction – ACCA Financial Reporting (FR)
  • Starmoon123 on Strategy formulation (Part 2) – ACCA (AFM) lectures
  • nosiphoceliwedlamini@gmail.com on Revenue – Example 5 (profitable contracts) – ACCA Financial Reporting (FR)
  • amaanalli on Fraud, bribery, whistle-blowing and company ethics – ACCA Strategic Business Leader (SBL)
  • verweijlisa on Group SPL – Group profit on disposal – ACCA Financial Reporting (FR)

Copyright © 2025 · Support · Contact · Advertising · OpenLicense · About · Sitemap · Comments · Log in