FINAN303-23A (TGA)

Computer Modelling in Finance

15 Points

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Division of Management
School of Accounting, Finance and Economics

Staff

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Convenor(s)

Yang Hu

Yang Hu
4676
MSB.3.26
See Moodle
yang.hu@waikato.ac.nz

Lecturer(s)

Yang Hu

Yang Hu
4676
MSB.3.26
See Moodle
yang.hu@waikato.ac.nz

Administrator(s)

: leanne.cooper@waikato.ac.nz
: uwt@waikato.ac.nz
: tiruni.john@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: yilan.chen@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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This paper enables students to understand financial modelling and its usefulness in financial decision making. It ensures that students have skills in financial problem solving from a corporate perspective using Excel functions and visual basic programming codes.

Students should check the Moodle page for latest updates for this course.

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How this paper will be taught

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The objective of this paper is to equip students with financial modelling skills using a computer spreadsheet, including generic skills such as performing sensitivity analyses, running simulations and solving valuation problems in finance. The paper will also introduce students to more advanced programming techniques in financial modelling, including defining often used financial functions and performing complex tasks with Visual Basic programming codes.
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Required Readings

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Analyse, summarise and prepare raw data [LO2]
    Linked to the following assessments:
  • Apply, interpret and communicate the results of the models developed [LO4]
    Linked to the following assessments:
  • Develop simple computer models to solve financial problems [LO3]
    Linked to the following assessments:
  • Understand the principles of specific statistical techniques [LO1]
    Linked to the following assessments:
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Assessments

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How you will be assessed

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The application for special consideration can be found under Files. Further information is available at
http://www.waikato.ac.nz/sasd/examinations/exams3.shtml
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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Individual Assignment 1
30 Mar 2023
5:00 PM
20
  • Online: Submit through Moodle
2. Test 1
5 Apr 2023
6:00 PM
30
  • Online: Submit through Moodle
3. Online Quiz
25 May 2023
6:00 PM
20
  • Online: Submit through Moodle
4. Test 2
1 Jun 2023
6:00 PM
30
  • Online: Submit through Moodle
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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