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FINM7409 Financial Management for Decision Makers

Creation date：2024-05-04 15:28:04

Belonging category：金融Finance

Tag FINM7409

Financial Management for Decision Makers

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FINM7409 Financial Management for Decision Makers

Assignment 1
Background:
Qantas and Virgin Australia are the two largest Australian airlines. Qantas has made a remarkable
turnaround and was one of the most profitable airlines in the world prior to COVID. On the other hand,
Virgin Australia has been loss making consistently.
As an investment manager, you would like to add one of these two companies to your portfolio, as you
believe the current share price is cheap (assume you are making the investment decision in March 2020).
However, before you make the decision, you would like to do a bit more research on both companies. In
particular, you want to analyse both companies for their performances in the past 5 years (2015 to 2019).
You are also interested in knowing why Virgin Australia was not able to make a profit, when compared to
Qantas. More importantly, given the current downturn, you want to know which company is more resilient
before you make a decision. In this assignment, you are required to use the tools you have learned in
FINM7409 including common size and ratio analysis, to analyse the financial statements of these two
companies. Also, you are required to write a short report summarising your key findings. Detailed
requirements are provided below.
Files Provided:
You will find the following files on Blackboard:
 Assingment_Template.xlsx
o The income statement and balance sheet information has been provided.
o Complete this file for requirements 1 below.
 Qantas FY19 Annual Report.pdf
 Virgin Australia FY19 Annual Report.pdf
Both Qantas and Virgin Australia annual reports are for your background information. You do not need
them to conduct the analysis.
Required:

1. Complete the ‘Ratio Analysis’ worksheet and the common size analysis for income statements in
the file ‘Assignment_Template.xlsx’. In doing so, you will need to fill out the missing numbers in
‘Other Inputs’ worksheet. You can use Yahoo Finance to obtain the share price and dividend
information. Note: Do not change the order or the name of the worksheets.

2. Using the ratio and common size analysis computed above, write a short essay (no more than 700
words) addressing the following questions. Submit your answer as a pdf file.

a. For Qantas and Virgin Australia respectively, what are the trends in gross profit margin,
operating income margin and net income margin from 2015 to 2019? What have been the
key drivers for these trends? You will need to incorporate graphs showing the trends in your
analysis.
FINM7409 Financial Management for Decision Makers Semester 1 2022
Assignment 2
b. Compared to Qantas, why Virgin Australia has been loss making for the period between
2015 and 2019? Which areas should Virgin Australia focus on to improve the profitability of
the business? You will need to incorporate graphs showing the comparison between these
two companies over time.
c. When COVID hit in early 2020, which company was in better position to weather the
downturn (based on FY19 numbers)? Provide justification for your answer.

Mark Allocation:
Excel Computations (Part 1) 30
Report (part 2) 60
Presentation and Grammar 10
Total 100

Final Submission
The ‘Assignment Submission’ folder on Blackboard contains three submissions:
 Part 1 Excel Submission: Submit an excel file containing the answers to parts 1 (use the template
above and re-name the file to “Assignment_xx.xlsx”). This is the version which will be marked and it
is the one you will see in “My Grades”. Note: xx is your student number.

 Part 2 Pdf Submission: Submit the pdf answer to part 2 here (name the file to “Assignment
_xx.pdf”). You may re-submit as often as you like, and the last version should be submitted here
and will be marked, and it is the one you will see in “My Grade”. Note: xx is your student number.

 Part 2 Pdf Turnitin Submission: Submit the pdf answer to part 2 here as well (name the file to
“Assignment_xx.pdf”). Each time you submit the file to Turnitin you will get a report for the
purpose of plagiarism detection. You may re-submit through Turnitin as often as you like, and the
last version should be submitted here and will be marked, and it is the one you will see in “My
Grade”. Note: xx is your student number.

Late submission will incur penalties as outlined in Section 5.3 of the Electronic Course Profile. For
submission extension, please refer to the same section.

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LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 FINC5090 MATH1052 SciComp Elec4622 FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 MAT 237 BISM2201 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SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum

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