FIN41980 Quant Methods for Av Finance

Academic Year 2020/2021

This module covers the fundamental mathematical and statistical background necessary for the understanding of financial markets broadly and aviation finance in particular. The module will incorporate topics in quantitative methods including calculus, linear algebra, probability and statistics, and linear regression. Further, the module will focus on the application of these topics to problems in aviation finance.

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Curricular information is subject to change

Learning Outcomes:

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 broadly and aviation finance particularly.
3. Implement a range of applied quantitative techniques using spreadsheets.
4. Develop research skills including data analysis.

Indicative Module Content:

1. Soft skills for Finance - Excel
2. Introduction to Quantitative Methods in Finance & Time Value of Money
3. Calculus
4. Probability and Statistics
5. Linear Regression
6. Linear Algebra

Student Effort Type Hours
Lectures

0

Small Group

1

Total

1

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Three examinations worth 20% each Varies over the Trimester n/a Alternative linear conversion grade scale 40% Yes

60

Group Project: Group project that analysis financial data worth 40% Unspecified n/a Alternative linear conversion grade scale 40% Yes

40


Carry forward of passed components
No
 
Resit In Terminal Exam
Spring No
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Autumn
       
Lecture Offering 1 Week(s) - 0 Thurs 13:30 - 14:20 Face to Face
Lecture Offering 1 Week(s) - 0 Thurs 15:30 - 16:20 Face to Face
Lecture Offering 1 Week(s) - -1, 3 Thurs 13:30 - 14:20 Blended
Lecture Offering 1 Week(s) - 1 Thurs 13:30 - 14:20 Blended
Lecture Offering 1 Week(s) - 2, 4 Thurs 13:30 - 14:20 Blended
Lecture Offering 1 Week(s) - -1, 3 Thurs 15:30 - 16:20 Blended
Lecture Offering 1 Week(s) - 1 Thurs 15:30 - 16:20 Blended
Lecture Offering 1 Week(s) - 2, 4 Thurs 15:30 - 16:20 Blended
Lecture Offering 2 Week(s) - 1, 3 Thurs 13:30 - 14:20 Blended
Lecture Offering 2 Week(s) - 2, 4 Thurs 13:30 - 14:20 Blended
Lecture Offering 2 Week(s) - 1, 3 Thurs 15:30 - 16:20 Blended
Lecture Offering 2 Week(s) - 2, 4 Thurs 15:30 - 16:20 Blended
Autumn
       

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