FIN42050 Quant. Methods for Finance

Learning Outcomes:

On completion of this module, students are expected to be able to
1. Demonstrate a knowledge and understanding of the key practical and theoretical components of quantitative financial methods.
2. Apply quantitative techniques to practical real world problems in finance.
3. Implement a range of applied quantitative techniques using spreadsheets.
4. Develop research skills including data analysis.

Indicative Module Content:

1. Few Aspects of Logic, Set Theory
2. Introduction to Finance and Time value of money
3. Linear Algebra
4. Calculus
5. Probability and Statistics

Student Effort Type	Hours
Specified Learning Activities	10
Autonomous Student Learning	66
Lectures	18
Tutorial	6
Total	100

Not applicable to this module.

Not applicable to this module.
 

Assessment Strategy  

Description	Timing		Component Scale		% of Final Grade
Examination: Final examination	2 hour End of Trimester Exam	No	Alternative linear conversion grade scale 40%	No	50
Continuous Assessment: Online Quizzes on Tutorial Questions will be graded on a 2 marks per each of the 5 tutorials basis.	Throughout the Trimester	n/a	Alternative linear conversion grade scale 40%	No	10
Examination: Midterm examination	Week 5	No	Alternative linear conversion grade scale 40%	No	40

 

Resit In	Terminal Exam
Spring	Yes - 2 Hour

• Group/class feedback, post-assessment
• Online automated feedback
• Self-assessment activities

Not yet recorded.

The course will mainly follow the outline of the following textbook:

Mathematics for Economists by Carl P. Simon and Lawrence Blume, International Edition ISBN 978-0-393-95733-4 (Wil be referred to as S&B)

There are some notes prepared and available to students on Brightspace. Students are expected to download and read these before coming to the relevant lecture.
The notes and the lecture slides are complements and are not meant to substitute each other, any practical examples and financial applications will be covered during the lectures.

Students may find that the following textbooks will be helpful in their learning as these deal with explain the topics covered in great detail:
• Knut Sydsaeter, Peter Hammond, Arne Strom, Andrés Carvajal (2016), Essential Mathematics for Economic Analysis, 5th Edition, Pearson Education Limited. ISBN: 9781292074610 (Wil be referred to as SHSC)
• Ronald J. Harshbarger, James J. Reynolds (2013), Mathematical Applications for the Management, Life, and Social Sciences, International Editon, 10th Edition, Cengage Learning UK. ISBN: 9781133108481 (Will be referred to as HR)

Recommended Reading for Modelling in Excel:

Sengupta, Chandon (2010), Financial Analysis and Modelling Using Excel and VBA, John Wiley & Sons.

Name	Role
Zhannur Issayev	Tutor
Ronald Wafula	Tutor
Gabija Zdanceviciute	Tutor

Autumn
Lecture	Offering 1	Week(s) - -1, 0, 1, 2, 3, 4	Fri 13:30 - 15:20
Lecture	Offering 1	Week(s) - 0, 1, 2, 3, 4, 5	Mon 13:30 - 15:20
External & School Exams	Offering 1	Week(s) - 6	Thurs 10:00 - 11:50
Tutorial	Offering 1	Week(s) - 3, 5	Tues 17:00 - 18:30
External & School Exams	Offering 1	Week(s) - 3	Wed 10:00 - 11:50
Tutorial	Offering 1	Week(s) - 5	Wed 17:00 - 18:50
Lecture	Offering 2	Week(s) - -1, 0, 1, 2, 3, 4	Fri 08:30 - 10:20
Lecture	Offering 2	Week(s) - 0, 1, 2, 3, 4, 5	Mon 16:00 - 17:50
External & School Exams	Offering 2	Week(s) - 6	Thurs 10:00 - 11:50
Tutorial	Offering 2	Week(s) - 3, 5	Tues 17:00 - 18:30
External & School Exams	Offering 2	Week(s) - 3	Wed 10:00 - 11:50
Tutorial	Offering 2	Week(s) - 5	Wed 17:00 - 18:50
Lecture	Offering 3	Week(s) - -1, 0, 1, 2, 3, 4	Fri 11:00 - 12:50
Lecture	Offering 3	Week(s) - 0, 1, 2, 3, 4, 5	Mon 11:00 - 12:50
External & School Exams	Offering 3	Week(s) - 6	Thurs 10:00 - 11:50
Tutorial	Offering 3	Week(s) - 3, 5	Tues 17:00 - 18:30
External & School Exams	Offering 3	Week(s) - 3	Wed 10:00 - 11:50
Tutorial	Offering 3	Week(s) - 5	Wed 17:00 - 18:50
Autumn