The module aims to introduce students to concepts of risk measurement and analysis of financial data, and provides knowledge and basic skills required for risk measurement, technical analysis of financial data, investment decision-making, portfolio selection and optimisation.
This module aims to teach students to use pricing theory for derivatives, such as options, futures and forwards, using a risk-neutral probability and stochastic differential equations (SDEs), and explores discrete and continuous time models of stochastic processes with applications to pricing, such as the Black-Scholes equation for options pricing.
The module provides knowledge and basic skills required for financial product development, risk analysis, investment decision-making, portfolio selection and optimisation, as well as pricing of financial instruments.
The module deals with information and communication technology to carry out financial market analysis in detail, and gives students the skills and ideas to implement computational approaches to financial problems.
This module aims to give students a solid grounding in some of the most important methods employed by statisticians by providing a deeper understanding of probability theory, inference theory and random processes.
The project allows students to consolidate their learning in a substantial piece of independent work utilising the skills and knowledge developed in the taught content.
This module aims to identify the major sources of risk involved in international economic and financial activity; develop the tools and techniques necessary to manage these risks and enable a critical appreciation of the interaction between corporate decision-making and capital market behaviour.
This module aims to build stochastic models for time series data sets, to understand or model the stochastic mechanism that gives rise to an observed series, and to predict or forecast the future values of a series.
This module gives students knowledge of the major concepts of decisions and game theories, and an understanding of the interrelation of these concepts, to determine the best strategy mathematically in order to optimize outcomes.
You can find more information about this course in the programme specification. Module and programme information is indicative and may be subject to change.