Aims and Fit of Module

Students will learn how to explain and demonstrate the use of statistics, data collection and analysis, probability theory, correlation and diversification, distributions theory, and the time value of money in financial decision-making.

Learning outcomes

A. Demonstrate a systematic understanding and critical awareness of current issues in the area of professional practice related to quantitative methods in finance.

B. Demonstrate originality in the application of knowledge, together with a practical understanding of established and applied techniques of research and case analysis as used to interpret knowledge and practice in the area.

C. Demonstrate a conceptual understanding that enables the student to evaluate methodologies and develop critiques of them and, where appropriate, propose new practices.

Method of teaching and learning

This module will be taught using a combination of lectures, tutorials and custom exercises in the financial lab.  Learning will also be reinforced by appropriate readings of the textbook supplemented by customized case studies that link with the topics covered elsewhere in the programme (i.e. bond or equity valuation).