MSc Financial Risk Management

The module aims to equip students with the main principles of Investment Theory. It begins with an overview of the interaction between users and suppliers of capital and the theory behind investor behaviour towards financial risk and reward.

This module focuses on fixed income and equity securities evaluation and provides an introduction to international financial markets and an overview of financial institutions.

Part I of the module applies general valuation methods to specific financial instruments: fixed income and equity securities. It describes the basic characteristics of each security and develops practical strategies for finding its value and assessing its risk.

This module equips you with the quantitative tools used by market participants. The module uses a mixture of (1) lectures where the theory and concepts are introduced and (2) seminars and workshops where we apply the knowledge to practical cases.

It is an introductory applied econometrics module with an emphasis on finance.

This module introduces students to programming in finance. Programming skills are among the most desired in today’s data driven business landscape. Python and SQL languages have become an industry standard and are widely used to produce innovative financial products and services. Common applications include big data analysis and manipulation, algorithmic trading, portfolio analysis, and machine learning algorithms.

The purpose of the module is to provide an understanding of the latest developments in banking regulations that are the main driving force behind changes in our approaches to risk measurement. It focuses on the foundations of market risk analysis and the basic models for assessing market risk. Participants utilise market risk measurement techniques that are used daily in the front and middle offices of banks; particular emphasis is placed on the appraisal of the covariance matrices that are used to measure the market risk of portfolios. They also learn to build various Value-at-Risk (VaR) models for market risk for international portfolios of equities, FX, interest rate products, commodities, derivatives etc. The module has a significant practical component with computer-based workshops that are designed to support the lecture material.

Having established the theoretical basis for security valuation in Part I, this module extends students’ understanding to the valuation of financial instruments and their applications. The module has a significant practical component with seminars that are designed to support the lecture material. Students will be introduced to all types of risks that are embedded in listed and OTC derivatives across all asset classes. They will become familiar with exotic equity options, understand their pay-offs and some simple analytic pricing approximations. They will value some of the most popular swap varieties, and understand how they may be used for managing risk. They will value caps, floors and swaptions, convertible bonds and understand the interplay between market and credit risk factors. They will outline the basic credit derivatives, including total return swaps, default swaps and collateralized debt obligations.

This course introduces students to a set of newly developed techniques to measure and manage credit risk in bank portfolios. In recent years financial institutions have been looking at ways to quantify risk in their corporate loan and mortgage books. The lack of market prices for these types of illiquid assets implies that standard risk assessment procedures can not be employed.

Students select 20 credits from the following;

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 principal aim of the module is to familiarise students with the private equity (PE) and venture capital (VC) fund raising and investment process and with M&A deals. The purpose is to develop students’ appreciation of the practical aspects of investing by PE and VC firms, understanding the dynamics between the PE and VC investor and the entrepreneur, and also the practicalities of raising PE&VC funds from institutional investors and transacting M&A deals.

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 explores how financial investors incorporate sustainability considerations and environmental, social and governance (ESG) criteria into their investment decisions. The module offers an introduction to the main sustainable investment strategies, the main players (governments, supranational institutions, corporations, investment funds, banks) in the sustainable investment space and the application of sustainable investment in different asset classes.

This investment portfolio management module covers key topics, techniques and discussions, including investment styles, in relation to constructing and maintaining an optimal investment portfolio. The teaching approaches all topics from academic and market, practical perspectives. More detailed aims and learning outcomes are included below.

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.

Students select 20 credits from the following;

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.

This module gives students the opportunity to pursue a work placement with an external organisation broadly related to the general sphere of their degree studies. The aim of the module is to allow participants to gain work experience in a career path of interest, develop a wide range of employability skills, build their network and enhance market awareness. The maximum duration of the placement is 3 months and it takes place during the summer period (June-August). Placements should be secured by students independently. The Centre’s career development office can support students in their search and application process. Placements secured by students are subject to the approval of the module convenor. The module is assessed by a 3,000-word project based on the work experience gained.

Industry participants estimate that 70-80% of equity trades are executed through computers. Market-makers in equity, fixed income and currency markets use algorithms to automatically adjust their quotes.

This module aims to provide students with an understanding of financial decision making in the context of alternative investments and to introduce the key principles and techniques of financial engineering used in structured product design.

Sustainability is becoming a priority not only in government policy but also in business strategy. The role of the private sector in achieving sustainable production and consumption models is key to preserve fast depleting natural resources, improve social justice and reduce inequalities, address climate change and loss of biodiversity. This module explores how sustainability can be incorporated in business practices and balanced with corporate growth objectives.