Postgraduate Course: Statistics For Finance (CMSE11086)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | This course will train students in the basic tools of Statistics for Finance. "Statistics for Finance" builds on such topics as elementary probability, simple sampling theory and statistical inference. Moments, Quantiles and distributions are introduced.
Lectures are supported by weekly problem solving classes. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Students MUST have passed:
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | For Business School PG students only, or by special permission of the School. Please contact the course secretary. |
Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
150
(
Lecture Hours 20,
Seminar/Tutorial Hours 8,
Summative Assessment Hours 4,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
115 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
An examination counts for 70% of the grade. The remaining 30% is based on a mid-term quiz. |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | Statistics For Finance | 2:00 | |
Learning Outcomes
Knowledge and Understanding
By the end of the course students will be able to:
* Define and illustrate the concepts of probability, random variables, point estimation, interval estimation, hypothesis testing and inference.
* Link theory with empirical applications.
* Understand the importance of assumptions in statistics/econometrics.
* Have a strong enough understanding of the introductory material covered in the course to proceed to the more advanted techniques to be covered in subsequent classes.
Intellectual Skills and Personal Development
The course will develop analytical, numerical and problem-solving skills.
Subject Specific Skills:
Students will gain an ability to understand and use statistics notation and theory to solve a wide range of problems in Finance.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | fin-STATS |
Contacts
| Course organiser | Dr Angelica Gonzalez
Tel: (0131 6)51 3027
Email: angelica.gonzalez@ed.ac.uk |
Course secretary | Miss Rachel Allan
Tel: (0131 6)51 3757
Email: Rachel.Allan@ed.ac.uk |
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