代写1 slide代写留学生Matlab语言程序
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o In this slide, give some information on the industry and three companies you
selected and explain why you selected these, why you think these three companies represent the industry
● Use Excel to display quarterly data and trends for sales and profits (net income and EBITDA for 16 quarters) for the three companies.
o Talk about the general trends in the sector. Note and explain any deviations from these patterns.
o Your charts should be self-explanatory
● Identify and compile two datasets (data other than company financial data) that you think help explain trends in the industry.
o If you were looking at airline travel, you could analyze data sets such as: cost
index of flight fuel, average price per mile traveled, infrastructure investments in airports, etc.
o Develop and test a regression model to help explain industry trends.
. You might need to collect some more data on total industry revenues and/or profits over time.
. I am looking for a strong and thoughtful analytical approach. It is always a good thing if your model has strong statistical significance, but in this case, it is more important that your model demonstrates a solid understanding of industry drivers and dynamics.
. In addition to fundamental drivers, consider other variables to include,
such as trend variables or dummies for seasonality (if you have a seasonal time series).
o 2 - 3 slides.
● Of the three companies you are analyzing, choose one for a more in-depth treatment.
o Develop a predictive model (regression model).
o Have 1 slide to discuss the conditions necessary when fitting a linear regression model
o Use scenario manager to develop three different scenarios for the next quarterly revenue and profit numbers.
. Explain the assumptions underlying your scenarios. Try to come up with scenarios that are rooted in real challenges and opportunities facing the company.
o 2 - 3 slides.
● Summarize your analysis and layout the implications for management and the industry.
o 1 - 2 slides.
o 1 slide for sources and references.
o If necessary, include more detailed analyses or models in a data appendix.