首页
网站开发
桌面应用
管理软件
微信开发
App开发
嵌入式软件
工具软件
数据采集与分析
其他
首页
>
> 详细
代做IB9150、代写c/c++,Java设计编程
项目预算:
开发周期:
发布时间:
要求地区:
University of Warwick
Module Code: IB9150 Module Title: Forecasting for Decision Makers
School Year: 2023-24
Individual Assignment Question and Guidance
3,000 words:
This is a strict limit, not a guideline: any piece submitted with more words than the limit will
result in the excess not being marked. Note: any +10% word limit rule that may be applied in
other modules is not applicable here.
You are asked to analyse market size growth and market share prospects of a consumer brand
within a specific country, including an analysis of the country’s growth prospects.
As part of your research, you should download data from Passport/Euromonitor (library link:
http://webcat.warwick.ac.uk/record=e1000180~S1). See pre-recorded video on module page
Day 1.
(1) Choose first the country you would like to focus your analysis on. You are not allowed to
choose a country you are a citizen of. At the country level, download data on past annual
economic growth (real GDP growth), including forecasts up to 2028, by selecting
“economies”, “economy, finance and trade”, and “real GDP growth”, and then search for
the country you are interested in. Download data for the longest time series available.
Your analysis may be supported by the country reports available under “analysis” on the
“economies” “economy, finance and trade” tab.
(2) Your next choice is to choose an industry in the “industries” tab (say alcoholic drinks
under drinks).
(3) Then select a “category”, “geography”, and “statistic” in the “explore statistics” tab (as,
for example, “Beer, Germany, market size”). There are two main time series you should
focus your analysis on. The first one is a measure of the market size for your choice of
country/industry/category, usually measured as retail value RSP in local currency at
constant prices (headline units are in volume or dollars, but you are able to see the
values in local currency at constant prices on downloaded report data). You should use
the longest time series available and store five years of forecasts. The second time series
is the brand share for a specific brand (change the statistic option to “brand shares”). A
suggestion is to use the “country report” for your “category” and “geography” under
“explore analysis” in the industries tab to pick a brand with a reasonably large market
share (as, for example, “Krombacher”, which is a brand within “Beer in Germany”). The
database allows you to download the market share for the brand over the last ten years.
You should also consider alternative sources of information on the brand you have
chosen such that you have enough information to carry out an in-depth analysis of the
prospects of the brand for the next five years.
Page 2 of 3
The essay should include:
1) An analysis of economic growth forecasts over the next five years (2024-2028) for the
country you chose. You should provide your own forecasts, including an explanation of
how you computed them, why you choose that method and comparison with available
alternatives (including those from Passport/Euromonitor but also with other
professional and institutional forecasts). You should consider sources of uncertainty
when calculating and analysing forecasts.
2) An analysis of market size forecasts (total sales for the industry/category chosen) over
the next five years. You should compute your own forecasts, including an explanation of
how you compute them, and why you choose that method. Discuss them compared to
Passport/Euromonitor forecasts. You should consider sources of uncertainty when
calculating and analysing forecasts.
3) An analysis of how the prospects for the market share of the brand you are analysing is
expected to evolve in the next five years. The analysis should include quantitative
forecasts for the brand market share and make use of your previous analysis (items 1
and 2) to support a reflection on the uncertainties facing the brand.
Your essay should be well-structured (divided into sections, including an introduction, conclusion
and references) and show that you can provide forecasts and analysis of sources of uncertainty
to support a clear vision of the five-year outlook of a consumer brand in a country of your choice.
Maximum Length: 3000 words (this is a strict limit, not a guideline)
Assessment Weighting: 80%
Submission Deadline: Thursday 20th June before 12:00:00 (noon, UK time)
Marks Released by: Thursday 18th July
(we will aim to release marks by this date, but in the event of an unavoidable
delay a message will be posted on the module page)
Use of Artificial Intelligence
The University recognises an increasing number of technologies such as Artificial Intelligence and that
they may be applicable in your completing this assessment. The assessment brief sets out specific
requirements or restrictions, and your student handbook has further guidance and advice.
You are reminded that the inappropriate use of such a technology may constitute a breach of University
policy, such as the Proofreading Policy or Regulation 11 (Academic Integrity). If you breach these policies,
it may have significant consequences for your studies. Please make sure you read and understand the
assessment brief and how AI may or may not be used.
Page 3 of 3
You should ensure you include an assignment cover sheet which requires you to explain the use of any
AI. Failure to disclose at the point of submission may be prejudicial in any later investigations should they
arise.
For this assessment, AI is:
PROBHIBITED OR RESTRICTED
Please select the most appropriate text for your purposes.
You MUST NOT use any generative Artificial Intelligence in this assessment unless specifically authorised
for reasonable adjustments. You MAY use non-generative tools such as a spell-check, basic grammar
check (non-generative), calculator or similar. If you have any doubts about a tool or service you plan to
use please contact the module leader.
Submitting your work
Before you submit your assessment, you should ensure you are familiar with the guidance and rules
in the “Your Assessments” section of your Student Handbook, paying particular attention to:
Inserting a completed assignment coversheet as the first page of your submission
Academic Integrity (including Plagiarism)
Referencing
Word Count Policy and Formatting
Confidentiality of your work
Extensions and late submission of work
Guidelines for Online Submission
Mitigating Circumstances
Mitigating circumstances MUST be submitted within 20 working days following the submission
deadline. Mitigating circumstances not submitted by the relevant deadline are not required to be
considered by the School/Department and may have to be considered by an Academic Appeals
Committee as part of an academic appeal – for further information, please see:
Please see your Student Handbook for more guidance on mitigating circumstances
软件开发、广告设计客服
QQ:99515681
邮箱:99515681@qq.com
工作时间:8:00-23:00
微信:codinghelp
热点项目
更多
代做 program、代写 c++设计程...
2024-12-23
comp2012j 代写、代做 java 设...
2024-12-23
代做 data 编程、代写 python/...
2024-12-23
代做en.553.413-613 applied s...
2024-12-23
代做steady-state analvsis代做...
2024-12-23
代写photo essay of a deciduo...
2024-12-23
代写gpa analyzer调试c/c++语言
2024-12-23
代做comp 330 (fall 2024): as...
2024-12-23
代写pstat 160a fall 2024 - a...
2024-12-23
代做pstat 160a: stochastic p...
2024-12-23
代做7ssgn110 environmental d...
2024-12-23
代做compsci 4039 programming...
2024-12-23
代做lab exercise 8: dictiona...
2024-12-23
热点标签
mktg2509
csci 2600
38170
lng302
csse3010
phas3226
77938
arch1162
engn4536/engn6536
acx5903
comp151101
phl245
cse12
comp9312
stat3016/6016
phas0038
comp2140
6qqmb312
xjco3011
rest0005
ematm0051
5qqmn219
lubs5062m
eee8155
cege0100
eap033
artd1109
mat246
etc3430
ecmm462
mis102
inft6800
ddes9903
comp6521
comp9517
comp3331/9331
comp4337
comp6008
comp9414
bu.231.790.81
man00150m
csb352h
math1041
eengm4100
isys1002
08
6057cem
mktg3504
mthm036
mtrx1701
mth3241
eeee3086
cmp-7038b
cmp-7000a
ints4010
econ2151
infs5710
fins5516
fin3309
fins5510
gsoe9340
math2007
math2036
soee5010
mark3088
infs3605
elec9714
comp2271
ma214
comp2211
infs3604
600426
sit254
acct3091
bbt405
msin0116
com107/com113
mark5826
sit120
comp9021
eco2101
eeen40700
cs253
ece3114
ecmm447
chns3000
math377
itd102
comp9444
comp(2041|9044)
econ0060
econ7230
mgt001371
ecs-323
cs6250
mgdi60012
mdia2012
comm221001
comm5000
ma1008
engl642
econ241
com333
math367
mis201
nbs-7041x
meek16104
econ2003
comm1190
mbas902
comp-1027
dpst1091
comp7315
eppd1033
m06
ee3025
msci231
bb113/bbs1063
fc709
comp3425
comp9417
econ42915
cb9101
math1102e
chme0017
fc307
mkt60104
5522usst
litr1-uc6201.200
ee1102
cosc2803
math39512
omp9727
int2067/int5051
bsb151
mgt253
fc021
babs2202
mis2002s
phya21
18-213
cege0012
mdia1002
math38032
mech5125
07
cisc102
mgx3110
cs240
11175
fin3020s
eco3420
ictten622
comp9727
cpt111
de114102d
mgm320h5s
bafi1019
math21112
efim20036
mn-3503
fins5568
110.807
bcpm000028
info6030
bma0092
bcpm0054
math20212
ce335
cs365
cenv6141
ftec5580
math2010
ec3450
comm1170
ecmt1010
csci-ua.0480-003
econ12-200
ib3960
ectb60h3f
cs247—assignment
tk3163
ics3u
ib3j80
comp20008
comp9334
eppd1063
acct2343
cct109
isys1055/3412
math350-real
math2014
eec180
stat141b
econ2101
msinm014/msing014/msing014b
fit2004
comp643
bu1002
cm2030
联系我们
- QQ: 9951568
© 2021
www.rj363.com
软件定制开发网!