bus5sbf statistics for business and finance
STATISTICS FOR BUSINESS AND FINANCE
BUS5SBF
2019
Credit points: 15
Subject outline
In this subject you will develop basic to advanced quantitative and data analytic skills to investigate real life problems in accounting, business and finance. You will focus on volatility measure of portfolio risk return distributions, basic concepts of probability and statistics, methods of statistical inference, measure of linear relationship between various business and financial variables including regression analysis. There is a strong emphasis on the application of these techniques to real world problems in business and finance using MS-Excel (Optional-R language). This subject lays a solid foundation to the further study of advanced data analytics tools applied in business and finance. The contents of the subject are in line with 'Chartered Financial Analyst - CFA' quantitative analysis curriculum and hence follows CFA textbook.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorYuji Tamura
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjects FIN5SBF
Equivalent subjects FIN5SBF
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Quantitive Investment Analysis | Prescribed | DeFusco, R, McLeavy,D., Pinto, J., Runkle,D. (2015) | 3rd. EDN. JOHN WILEY |
| Readings | Quantitative Investment Analysis Workbook | Preliminary | DeFusco, R, McLeavy,D., Pinto, J., Runkle,D. (2015) | 3rd EDN, JOHN WILEY |
| Readings | Business Statistics: Australia New Zealand | Recommended | Selvanathan, E. A., Selvanathan, S., and Keller, G. (2017) | Cengage AU |
| Discipline Specific | Weekly Workbooks | Prescribed | Manzoor, M. and Bhatti, I (2018) | La Trobe Business School |
Graduate capabilities & intended learning outcomes
01. Apply and interpret concepts of descriptive statistics to real life data and interpretation of results
- Activities:
- Online activities (Workbook readings, online videos and online quizzes (both graded and ungraded-test your knowledge) Face-to-face workshop activities on topics covering stock prices, returns distribution and volatility measures with linkage to Descriptive Statistics and data analytics.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
02. Apply probability theory in business and financial decision making
- Activities:
- Online activities (Workbook readings, online videos and online quizzes (both graded and ungraded-test your knowledge) Face-to-face workshops with problem-based activities (computer assisted).
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
03. Use sampling methods to estimate and infer accounting, economics and financial models using data
- Activities:
- Assignment 1: This individual assignment requires computational work based on probability theory, sampling methods and estimation to investigate business and finance related-research questions. The objective of this assignment is to promote critical thinking and report writing.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Develop competency in estimating linear regression models and testing hypothesis
- Activities:
- Assignment 2: This group assignment enables students to enhance their knowledge and skills in statistical inference, regression analysis and interpretation of statistical results at an advanced level.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Develop ability to present work in a professional manner
- Activities:
- Presentation and interpretation of statistical results and report writing related to Multiple regression models related to returns and CAPM Models.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Speaking,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
Select to view your study options…
City Campus, 2019, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
WorkShopWeek: 31 - 43
One 2.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 31 - 41
One 2.0 hours seminar every three weeks on weekdays during the day from week 31 to week 41 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
City Campus, 2019, Summer, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
WorkShopWeek: 45
One 2.0 hours workshop per week on weekdays during the day in week 45 and delivered via blended.
"This workshop/Computer Lab is strongly recommended."
SeminarWeek: 45
One 2.0 hours seminar every three weeks on weekdays during the day in week 45 and delivered via face-to-face.
"This is a revision seminar highly recommended."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
City Campus, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorJae Kim
Class requirements
WorkShopWeek: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 10 - 20
One 2.0 hours seminar every three weeks on weekdays during the day from week 10 to week 20 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
Melbourne, 2019, Summer, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
WorkShopWeek: 45
One 2.0 hours workshop per week on weekdays during the day in week 45 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 45
One 2.0 hours seminar every three weeks on weekdays during the day in week 45 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
Melbourne, 2019, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
WorkShopWeek: 31 - 43
One 2.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 31 - 41
One 2.0 hours seminar every three weeks on weekdays during the day from week 31 to week 41 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
Melbourne, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
WorkShopWeek: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 10 - 20
One 2.0 hours seminar every three weeks on weekdays during the day from week 10 to week 20 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
Online, 2019, Online StudyPeriod 2, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
Unscheduled Online ClassWeek: 10 - 16
One 6.0 hours unscheduled online class per week on any day including weekend from week 10 to week 16 and delivered via online.
"This subject is delivered entirely online. Students are required to undertake online learning and assessment activities."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 030 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 030 | 03, 04, 05 |
| Quiz 1 | equivalent to 375-words. Week 3. Quiz is 50% of the blended version. | 010 | 01, 02 |
| Quiz 2 | equivalent to 375-words. Week 5. Quiz is 50% of the blended version. | 010 | 03, 04, 05 |
| Quiz 3 | equivalent to 750-words. Week 7 | 020 | 03, 04, 05 |
Online, 2019, Online StudyPeriod 4, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
Unscheduled Online ClassWeek: 28 - 34
One 6.0 hours unscheduled online class per week on any day including weekend from week 28 to week 34 and delivered via online.
"This subject is delivered entirely online. Students are required to undertake online learning and assessment activities."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 030 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 030 | 03, 04, 05 |
| Quiz 1 | equivalent to 375-words. Week 3. Quiz is 50% of the blended version. | 010 | 01, 02 |
| Quiz 2 | equivalent to 375-words. Week 5. Quiz is 50% of the blended version. | 010 | 03, 04, 05 |
| Quiz 3 | equivalent to 750-words. Week 7. | 020 | 03, 04, 05 |
Sydney, 2019, Study Period 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
WorkShopWeek: 31 - 42
One 2.0 hours workshop per week on weekdays during the day from week 31 to week 42 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 31 - 40
One 2.0 hours seminar every three weeks on weekdays during the day from week 31 to week 40 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |
Sydney, 2019, Study Period 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorYuji Tamura
Class requirements
WorkShopWeek: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via blended.
"This workshop/Computer Lab is strongly recommended.
"
SeminarWeek: 10 - 20
One 2.0 hours seminar every three weeks on weekdays during the day from week 10 to week 20 and delivered via face-to-face.
"This is a revision seminar highly recommended.
"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | Equivalent to 1000 words | 12 | 01, 02, 03, 04 |
| Assignment 2: Computer-assisted assignment using regression models | Equivalent to 1000 words | 13 | 01, 03, 04, 05 |
| Quizzes | Total 5 online quizzes equivalent to 1500 words combined. Each quiz is worth 6% of the total assessment and is equivalent to 300 words. Students will be assessed every two weeks. | 30 | 01, 02 |
| Homework & Workshop participation | Equivalent to 500 words. | 10 | 01, 02, 03, 04, 05 |
| Final Exam (2 hours) (equivalent to 2000 words) | Duration is 2 hours. | 35 | 01, 02, 03, 04 |