The module covers the building blocks of econometrics and analytical techniques used in finance. Via case studies and computer modelling exercises, students learn how to apply these techniques to real data. Emphasis is placed on practical applications of the techniques in the global financial markets.

This module provides an overview of the key building blocks in modern finance theory and introduces techniques for analysing and valuing different classes of risky assets such as equities and derivatives contracts. It also develops ways of optimally selecting portfolios of such assets and develops models of how these portfolios can be priced in financial markets. The techniques introduced in this module are widely applied in other elements of the programme. The module includes simulated trading sessions in our state of the art dealing rooms, where participants are introduced to real world pricing and trading strategies (INVEST sessions).

The module aims to build on the techniques for portfolio selection that have been introduced in the Securities, Futures and Options module. The module examines the issues involved in understanding the investment market, constructing a competitive investment portfolio (of an active, passive or smart beta style), evaluating the performance of that portfolio, and adjusting its composition through time. It will also consider issues revolving around the management of risk. The compulsory, practical project of the course will provide students with hands-on experience in constructing and managing a realistic investment portfolio.

Building on the material introduced in Quantitative Methods for Finance, this module covers a number of more advanced techniques that are relevant for financial applications, and in particular for modelling and forecasting financial time series. These include an introduction to maximum likelihood estimation and two-stage least squares, models of volatility, simulation techniques, and multivariate models. Case studies from the academic finance literature are employed to demonstrate potential uses of each approach. Extensive use is also made of financial econometrics software to demonstrate how the techniques are applied in practice.

The aim of the research project is to allow students to define and execute a piece of research in finance on a topic of their choice, with direction from an academic supervisor and with assistance from a doctoral student support supervisor.

Fixed Income Cash and Derivative Markets applies more advanced valuation and risk assessment methods that build on the knowledge introduced in the fixed income component of the first term Fixed Income and Equity Investments module: It describes the basic characteristics of fixed income derivatives, structured products and credit sensitive securities and develops practical strategies for valuation and risk assessment. It also considers how the markets for these securities are related and begins the task of showing how these relationships can be exploited for trading or investment. The module is designed not only for students wanting a more advanced knowledge of the fixed income markets, but also for students wishing to take the exam for the ICMA Fixed Income Certificate (ICMA FIC)

This module aims to provide students with a detailed knowledge of the commodity derivatives markets. It examines the aspects of pricing and trading physical derivatives, with emphasis on the energy and shipping (freight) sectors. The course is designed using real-life trading examples, stimulating students, who wish to follow a sales and trading career, to approach derivatives pricing from first principles.

The evolution of algorithmic trading, the proliferation of alternative trading platforms for trading the same security and the development of new products and assets with limited liquidity have contributed to raising the awareness of academics and traders on the importance of understanding and properly managing liquidity and execution risks. The objective of this course is to give students an introduction to the concepts of market and asset liquidity, trade execution risk and an overview of the methods for managing these types of liquidity risk. This module will not discuss about funding liquidity and managing liquidity in a bank. The issues discussed in this course are important when developing trading strategies, valuing portfolios, liquidating large positions and transitioning assets to new investments.

This module aims to provide students with an understanding of financial decision making in the context of the energy industry. The course will combine theoretical models with practical applications. It focuses on energy markets (products, companies, production and consumption), capital budgeting in energy companies, financing of energy companies, energy derivatives and trading in energy markets. A number of case studies in energy finances are utilised.

This module is designed for advanced Master’s students and doctoral students. It has a very high technical content. It aims to equip the students with the foundations of theoretical asset pricing and with the relevant skills for performing empirical tests. Additionally, a few important corporate finance topics will be covered in the format of student presentations. The objective of the module is to prepare students to become independent and quality researchers.

The module is less quantitative option open to all MSc students that builds on the coverage of futures contracts from term 1. By the end of the module it is expected that students will be aware of the different ways of constructing stock market indices and the implications of these differences, how futures contracts are traded and the identity of some of the close substitutes for trading index futures, how futures can be priced using an arbitrage relationship, how futures can be used for hedging the price risk of the underlying, and the various uses that fund managers make of these instruments.