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FINM2001 Housekeeping issues
Creation date：2024-06-01 14:12:19
Belonging category：金融Finance
Housekeeping issues

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Assignment

FINM2001
Overview
This assignment is to apply the concepts and theories in the corporate finance class and perform
critical analysis for a company you picked using real market and financial data.
You are expected to submit two individual reports during the semester. (See deadlines below.)
The Task

If you use any data in the analysis, you should keep a copy of these data for verification
purposes. However, you do not need to attach the data in your submission. Whenever possible,
please relate your discussion to the specific situation of your firm – a general statement may
not be sufficient. This is an essential requirement of the assignment. The format of your answer
should be structured -- take the answer as a very short essay: there is a key point to start with,
followed by some supporting evidence or arguments. You should keep you answer brief, but
to the point.
2
Report 1 (total 15 marks)
1. Provide the following information about your company.
a. (1 marks) Name, ticker symbol, industry, and business description
b. (2 marks) What makes you become interested in this company
2. Use the information disclosed (for example, in the annual reports) to discuss the following
questions.
a. (4 marks) To finance their business activity, firms could use various sources of
capital such as debt and equity. Provide a summary for the source of financing
capital structure for your firm. This may include (but not limited to): book value of
total debt, book value of total equity, and the ratio between these two (debt equity
ratio). Note that some firms (not common) may not have any debt (zero debt firm).
b. (3 marks) Compare the debt equity ratio of your firm with at least one other peer
firm in the same/similar industry. What are the potential factors that drive the
similarity or difference of debt equity ratio among firms in same/similar industry?
Propose your explanations.
c. (3 marks) Calculate the market value of equity, which is the total number of shares
outstanding times the share price (preferably at the end of the finance reporting
period). Calculate the ratio between book value of debt and market value of equity.
This ratio could be very different from the ratio between book value of debt and
book value of equity in question 2 (a). Provide a brief explanation for the conceptual
difference.
3. Find beta coefficient on internet (from Yahoo Finance, for example).
a. (2 marks) What is its magnitude? What does it imply?
3
Housekeeping issues
1. This assignment will be handled and marked by your tutor. Before the submission, it
is important for you to join one of the tutorial groups. If there is issue related to
joining groups, please email the RSFAS office at [email protected].
2. Format: your submission should be a single MS Word file that follows the requirements
below:
a. Font: Times New Roman, size 12pts; Single line spacing; 2.54 cm margin to
each side (A4 size)
b. Page limit: Report 1: Two pages. (everything included)
c. Due date: Report1: 17:00 31st March 2023(AEST)
d. The file name is “uXXXXX your name tutorial group course code”. For
example, your file name could be “u123456 Jack Brabham Tut01 FINM2001”.
3. Support and consultations: if you need any clarification during the writing of your
assignment, please contact your tutor. Their contact information is available on the
wattle website. Your tutors could provide clarification, in case there is any confusion.
However, given this is part of the assessment, they could write the assignment for you
in any way.
4. Submission: this assignment must be completed individually and submit using Turnitin
in the wattle website. The submission deadline is 17:00 31st March 2023(AEST). You
are strongly encouraged not to submit at the last minute to avoid potential crash
of the wattle site.
5. Late submission: Unless there is a special arrangement, no submission after the due
date will be permitted. If an assessment task is not submitted by the due date, a mark of
0 will be awarded. Application for an extension should be filed before the deadline.
Given that enough time has been provided to handle electronic submission, reasons
such as computer crash or loss of USB would not be accepted for extension.
Case category
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CMP7000A CMP-7038B Math 263 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 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. 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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