bus5sbf statistics for bus
STATISTICS FOR BUSINESS AND FINANCE
BUS5SBF
2015
Credit points: 15
Subject outline
This subject introduces basic quantitative tools in general, and statistical tools in particular. It teaches students how to apply these tools to solving practical problems in accounting and finance. It focuses on cash flow analysis, volatility measure of portfolio risk return distributions basic concepts of probability and statistics measure of linear relationship between various business and finance variables, methods of inference, regression and hypothesis testing. There is a strong emphasis on the application of these techniques to real world problems in business and finance using SPSS statistical package for social sciences and or excel. This subject lays a solid foundation to the further study of quantitative analysis.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorJae Kim
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. | 2ND. EDN. JOHN WILEY, 2007 |
| Readings | Quantitative investment analysis workbook | Preliminary | DeFusco, R, McLeavy,D., Pinto, J., Runkle,D. | 2ND EDN, JOHN WILEY, 2007 |
Graduate capabilities & intended learning outcomes
01. Demonstrate an understanding of the theory and methodology of cash flow analysis
- Activities:
- Lecturing on cash flow topics with linkage to Statistical methodology
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
02. Understand basic concepts of probability and statistics
- Activities:
- Based on lecture material, weekly computer labs are conducted to impliment statistical computations using SPSS software or Excel
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,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. Estimate and infer using accounting and financing data using sampling mathods
- Activities:
- Assignment 1, computational work, research question and solution to enable critical thinking and report writing
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,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 running linear regressions based on CAPM model and testing hypotheses
- Activities:
- Assignment 2, computational work, interpretation of statistical results and report writing related to regression and hypothesiis testing
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,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, 2015, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
SeminarWeek: 31 - 43
One 3.0 hours seminar per week from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One computer-assisted project | 15 | 01, 02, 03 | |
| one 3-hour final examination | 60 | 01, 02, 03, 04 | |
| two computer-assisted projects | equivalent to 500-words each | 15 | 04 |
| Tute Quizes | 10 | 01, 02, 03, 04 |
Melbourne, 2015, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorJae Kim
Class requirements
Laboratory ClassWeek: 11 - 22
One 1.0 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
"this class is recommended but optional"
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One computer-assisted project | 15 | 01, 02, 03 | |
| one 3-hour final examination | 60 | 01, 02, 03, 04 | |
| two computer-assisted projects | equivalent to 500-words each | 15 | 04 |
| Tute Quizes | 10 | 01, 02, 03, 04 |
Melbourne, 2015, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Laboratory ClassWeek: 31 - 43
One 1.0 hours laboratory class other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"this class is recommended, but optional"
LectureWeek: 31 - 43
One 2.0 hours lecture other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One computer-assisted project | 15 | 01, 02, 03 | |
| one 3-hour final examination | 60 | 01, 02, 03, 04 | |
| two computer-assisted projects | equivalent to 500-words each | 15 | 04 |
| Tute Quizes | 10 | 01, 02, 03, 04 |
Melbourne, 2015, Summer, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorJae Kim
Class requirements
Laboratory ClassWeek: 45
One 1.0 hours laboratory class per week on weekdays during the day in week 45 and delivered via face-to-face.
LectureWeek: 45
One 2.0 hours lecture per week on weekdays during the day in week 45 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| One computer-assisted project | 15 | 01, 02, 03 | |
| one 3-hour final examination | 60 | 01, 02, 03, 04 | |
| two computer-assisted projects | equivalent to 500-words each | 15 | 04 |
| Tute Quizes | 10 | 01, 02, 03, 04 |