FIN42050

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 Hours:

Approaches to Teaching and Learning:

The key teaching and learning approaches used in the module are lectures, problem-based learning, independent learning and group work.

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

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

How will my Feedback be Delivered?

Not yet recorded.

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:

Core Reading:

• Alexander, Carol (2008), Quantitative Methods in Finance, John Wiley & Sons.
• 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)


Core Reading for Review:

• Jacques, Ian (2018), Mathematics for Economics and Business 9th Edition, Pearson.
• CliffsNotes Praxis II: Middle School Mathematics Test (0069) Test Prep, John Wiley & Sons (22 Oct. 2008).
• How to Solve It: A New Aspect of Mathematical Method Paperback, Editorial Penguin; 2nd edition (26 April 1990).

Recommended Reading For Modelling in Excel:

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

Additional Reading:

• Miller, Michael B. (2012), Mathematics and Statistics for Financial Risk Management, John Wiley & Sons.
• Watsham, Terry J. & Parramore, Keith (1997), Quantitative Methods in Finance (First Edition), Cencage Learning.
• Brealey, Richard A., Myers, Stewart C., Marcus, Alan J., (2012), Fundamentals of Corporate Finance (7th Edition), McGraw Hill International Edition
• 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.

The relevant chapters are listed in the course schedule. Students are strongly encouraged to read the relevant chapters before each class.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.