Masters in Economics and Finance

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.

Academic authors

Professor Michael Clements

Dr Lisa Schopohl

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).

Academic authors

Dr Konstantina Kappou

Fixed Income and Equity Investments deals with the valuation of fixed income and equity securities. The module focuses on the basic characteristics of these securities and the strategies used for estimating their fundamental value and assessing their risk. Its primary aim is to discuss how certain characteristics and relationships can affect the value of fixed income and equity securities and how can they be exploited to form optimal investment strategies or for the purpose of conducting financial analysis. The analytical techniques introduced in this module are widely applied in other elements of the programme.

Academic authors

Dr Miriam Marra

This module aims to provide students with a detailed understanding of the factors that influence the decision-making processes of individuals and firms, and how these decisions interact with economic policies at the national and international level. This module is intended to form a basic master’s level understanding of the core theories necessary to understand microeconomic policy, and a theoretical basis to understanding economic issues and policies.

Full details for this module can be found on the University of Reading website.

Academic authors

This module is intended to form a basic master’s level understanding of the core theories necessary to understand macroeconomic policy. This module provides a theoretical basis to understanding economic issues and policies. In particular, it is concerned with how economic policies at the national and international level impact growth, employment, inflation, and recessions.

Academic authors

The module is intended to be the next step beyond what is traditionally taught in an undergraduate intermediate course in international finance or international macroeconomics. It will introduce students to the concepts and techniques that are used in modern analysis of the global economy.

This module focuses on both microeconomic and macroeconomic issues of development. It will provide a theoretical and empirical foundation to the economics of developing countries.

This module is intended to cover the most important social economic policy issues of the day. Consequently, the topics may vary from year-to-year in order to reflect contemporary relevance. But, in each case, the emphasis will be on how economic analysis can contribute to the solution of domestic and international social problems. Indicative topics are: poverty, segregation and social exclusion; the economics of crime; education. It should be noted that Housing Economics, Social Policy of Health and Ageing and Climate Change – which are all important social issues – have separate modules available.

Academic authors

This module provides an advanced treatment of individual decision making. The stating point will be the standard theories of decision making under risk (expected utility theory), uncertainty (subjective expected utility theory), and over time (discounted utility), as well as for the combination of risk/uncertainty and time (discounted expected utility theory). Subsequently, these theories will be probed for their descriptive accuracy based actually observed decisions. Building on those, the course will introduce descriptively accurate models of decision making from behavioural economics, and compare them to the standard models.

This master’s module in advanced macroeconomics introduces students to a set of modern computational topics and methods in macroeconomic theory and policy and the corresponding programming techniques and software, namely Dynare/Matlab. Some knowledge of econometrics and statistics would be an advantage, but it is not required. The module consists of five 2-hour slots: an hour of lecture followed immediately by – or often merged with – an hour of lab class, where Dynare/Matlab codes will be circulated and studied in detail

This module presents a number of lessons from theoretical industrial economics for our understanding of corporate decision-making – such as price-setting, output-setting, investment in productive capacity, advertising and collusive behaviour. In this context, the role of industrial competition is emphasised and both the determinants of market structure and the imperatives for competition policy intervention are discussed.

The objective is to introduce the students to programming and its usage for data processing and finance. It deals with how to write programming code, process files, receive input and provide output. Students who complete this course will be able to write programming code in Python, process files, input, output and manage data. Furthermore, students will be able to read and write to Excel and CSV files, connect to databases, obtain and process data from the Web, as well as use Python for Finance and Econometrics applications.

Academic authors

Dr Vu Tran

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.

Academic authors

Professor Michael Clements

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.

Academic authors

Professor Charles Sutcliffe

The main aim of the course is to provide a rigorous grounding of the theory and practice of corporate finance and more specifically the long-term financial management decisions of the firm pertaining to investments, financing and payout and how they affect its value. It deals with how corporations are governed, their financing structures, payout policies, the processes involved in the issuance of public and private equity, as well growing through inorganic investment (mergers and acquisitions).

Academic authors

Professor George Alexandridis

In this course you will learn how big data techniques can be used to solve problems in finance. We will first explore issues related to the collection, organisation and visualisation of large sets of structured and unstructured data. We will then look at methods for storage and computation of big data sets by distributed computing (Hadoop). The module will also explore the use of cloud computing platforms with a focus on the Google Cloud Platform (GCP).

Academic authors

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.

Academic authors

Professor Marcel Prokopczuk

This course 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.

Academic authors

Professor Marcel Prokopczuk

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.

Academic authors

Professor Charles Sutcliffe

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 vacation 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.

Academic authors

Dr Michael Smith