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25622 Quantitative Business Analysis

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2019 is available in the Archives.

UTS: Business: Finance
Credit points: 6 cp

Subject level:

Undergraduate

Result type: Grade and marks

Requisite(s): ((26134 Business Statistics OR 26133 Business Information Analysis)) OR (33130 Mathematical Modelling 1 AND 33230c Mathematical Modelling 2)
The lower case 'c' after the subject code indicates that the subject is a corequisite. See definitions for details.
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 35102 Introduction to Analysis and Multivariable Calculus AND 35151 Introduction to Statistics

Description

The subject provides students with essential knowledge and skills required by downstream subjects in the Bachelor of Business (C10026). Students consolidate their mathematical and statistical knowledge, and apply it to financial problems. The subject focuses on developing practical modelling skills sought by financial industry professionals.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:
1. Translate financial problems into mathematical form
2. Demonstrate the use of multivariable calculus to solve (constrained) optimization problems in finance
3. Analyze the relationships between financial quantities using linear (multivariate) regression
4. Interpret confidence intervals and test statistics to evaluate the significance of statistical relationships between financial quantities
5. Use statistical software to analyse financial and economic data

Contribution to the development of graduate attributes

The subject provides students with essential knowledge and skills required by downstream Finance subjects in the Bachelor of Business. Students will consolidate their mathematical and statistical knowledge, and apply it to financial problems. The subject focuses on developing practical modelling skills.

This subject contributes to the development of the following graduate attributes:

  • Critical thinking, creativity and analytical skills
  • Business practice oriented skills

This subject also contributes specifically to develop the following Program Learning Objectives:

  • 2.1: Locate and critically evaluate relevant data and literature to address business problems through a research approach
  • 5.1: Apply technical and professional skills necessary to operate effectively in business and related professions

Teaching and learning strategies

The subject is delivered via a combination of lectures, tutorials, computer practicums, interactive online material, and weekly on-line practice tests. Students are expected to prepare for classes in advance, in order to participate in class and tutorial discussions.

Tutorials are interactive problem-solving sessions, where students collaborate in groups under the guidance of their tutors.

To further assist students in developing their problem-solving skills, a number of videos are embedded in weekly lecture slides available from UTSOnline.

Additional materials illustrating real-world applications of the mathematical and statistical techniques developed in the subject may also be found on UTSOnline. Students will learn how to apply necessary software skills to analyse applications and interpret output from statistical models.

Feedback from weekly on-line practice tests covering the material learned in preceding lectures helps students identify gaps in learning. Practice tests are structured similarly to the subject assessment items and help students prepare for in-class quizzes and final exam. Students are able to gain early feedback on skills that support future academic success, such as identifying areas in need of further improvements by providing students with accuracy of their responses to the questions on the weekly assigned material.

Students participate in a class survey, their responses are recorded and included in a database that is later used as a teaching aid as well as an additional early feedback tool. Students get exposure to survey collection, data cleaning procedures, outlier detection and statistical analysis on the data that they created!

The subject makes extensive use of the U:PASS peer-assisted learning programme, for students wishing to spend more time working on the tutorial problems in a collaborative environment. The Mathematics Study Centre operates drop-in sessions throughout the semester to assist interested students in consolidating their mathematical skills.

Content (topics)

  • Review of basic financial mathematics;
  • Basic algebra;
  • Differentiation and optimization;
  • Introduction to the econometric modelling with applications to financial data;
  • Multiple regression: estimation and inference with applications to finance.

Assessment

Assessment task 1: Assignment (Group)

Intent:

This assessment contributes to the development of the following programme learning objective:

PLO 2.1: Locate and critically evaluate relevant data and literature to address business problems through a research approach

Objective(s):

This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 20%
Criteria:

The criteria for assessment are correct analysis and interpretation of data, and effective communication of conclusions.

Assessment task 2: Quizzes (Individual)

Intent:

This assessment contributes to the development of the following programme learning objective:

PLO 5.1: Apply technical and professional skills necessary to operate effectively in business and related professions

Objective(s):

This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 30%

Assessment task 3: Final Examination (Individual)

Intent:

This assessment contributes to the development of the following programme learning objective:

PLO 5.1: Apply technical and professional skills necessary to operate effectively in business and related professions

Objective(s):

This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 50%
Length:

Two hours plus 10 minutes reading time.

Minimum requirements

Students must achieve at least 50% of the subject’s total marks.

Required texts

We have compiled the following custom text for students.

  • Konstandatos, O (2013) Quantitative Business Analysis: Mathematical Methods for Business and Finance. Pearson Australia. ISBN: 978 1 4860 0669 4 (Referred to as CT)

A hard copy of the textbook is available from the co-op bookshop.

There is also an eBook version which can be purchased for $50 from the following link:

The eBook can be used offline through the Vitalsource bookshelf app (mobile or desktop): http://bookshelf.vitalsource.com.

The custom text is compiled from the following two textbooks, which may also be used. However, the two books below will not be available for purchase from the co-op bookstore as they are no longer the officially supported texts for the subject.

  • Barnett, R.A., Ziegler, M.R. and Byleen, K.E. (2011) College Mathematics for Business, Economics, Life Sciences and Social Sciences, Prentice-Hall, 12th.ed. (Referred to as BZB)
  • Stock, James H. and Mark W. Watson (2012) Introduction to Econometrics, 3rd ed, Addison Wesley. (Referred to as SW)

Recommended texts

Faculty of Business (1999), Guide to Writing Assignments, (available from the Co-op Bookshop).

Other resources

UTSOnline


UTSOnline is a web-based tool that can be accessed from inside and outside UTS via most web-browsers. In this subject UTSOnline will primarily be used for keeping up to date (via Announcements). It will also be used to access additional material.

You should log on regularly to keep up to date with announcements made by the course coordinator, and to download documents that are made available through the Subject Program area.

Note: UTSOnline will not be used for:

  • asking and answering questions and interacting with teaching staff – you should attend tutorials or the Maths Study Centre to engage directly with staff.
  • submitting assessment tasks