Financial Economics MSc

This module will offer an introduction to some theoretical concepts related to the allocation of risk by financial institutions. Then it will apply these concepts to the analysis of financial and banking crises.

This module covers monetary aspects of advanced macroeconomics and is suitable for students of mainstream economics, finance and international economics. It focuses on the theory and practice of central banking, monetary policy and control.

It covers concepts such as time inconsistency, the problem of inflation bias with solutions, credibility, transparency and accountability of monetary institutions, inflation targeting and price stability, the choice of instruments for monetary policy and their control, and finally monetary transmission. It combines some theory with evidence and practice.

This module covers foundations of consumer theory, decision-making under risk, elements of the theory of imperfect competition, and incomplete information in markets.

We start by laying the foundations of macroeconomic models with the use of very stylised one and two-period models in which consumers, firms and governments interact in the goods and factor markets. We will discuss how to solve macroeconomic models in the computer with the aid of these simple economies.

We next move to study the determinants of long-run economic growth. The overarching question that we will study is: why are some countries so much richer than others? We will study several mechanisms that can potentially account for these differences, namely, capital accumulation, knowledge production and institutions. This section does not seek to be an exhaustive survey of models of economic growth; it intends to highlight the mechanisms at play in a broad class of models. We will also place a strong emphasis on how to take the predictions derived from these models to the data.

In the last section of the module, we turn our attention towards the ‘short run’. We will embed the consumption and labour supply decision studied at the beginning of the semester into a dynamic stochastic general equilibrium model of the macroeconomy, the standard real business cycle (RBC) model developed by Kydland and Prescott. We will study the investment decision of firms, and close the module by studying the search and matching model of unemployment of Mortensen and Pissarides.

This module provides you with 'hands on' training in the use, presentation and interpretation of economic data, including time series, cross-section and panel data. It comprises of:

• an introduction to basic principles of economic data analysis
• descriptive statistics
• hypothesis testing
• simple and multiple regression
• introduction to panel data
• introduction to dynamic modelling
• time series models

The module will include a series of practical classes using econometrics software packages.

This module covers the following:

• A review of perspectives on the principles and philosophical foundations of economic enquiry
• The construction and evaluation of theories and research programmes
• The role of models and concepts of rationality in economics
• Alternative empirical methods
• Professional practice

A period of research and study designed to allow you to demonstrate familiarity with a particular area of economic theory or policy, or of applied economics or econometrics, and the ability to apply a specific analytical and/or empirical technique.

This module offers an introduction to the economics of corporate finance. It is designed to provide you with the basic theoretical background in this area that is necessary for any applied work. Emphasis is placed on the analysis of simple models and their applications.

The module covers a variety of topics with substantial time devoted for covering issues directly related to the financial needs of firms, such as capital structure, credit rationing and corporate governance.

The module also examines the role of financial intermediaries analysing bank failures and, consequently, the scope for banking regulations. The last part of the module looks closely at the relationship between the financial sector and the real economy thus offering the background for any applied work related to the link between financial development and economic fluctuations.

This module covers the theory for the solution and estimation of dynamic stochastic models that are widely used in all fields of macroeconomics. The module is structured in a way such that you will be exposed both to theory and the practical implementation of the methods taught.

It covers topics from approximation methods for stochastic non-linear macroeconomic models, such as linear and higher-order Taylor approximation as well as dynamic programming techniques. It also exposes students to the empirical evaluation of these models ranging from calibration to classical and Bayesian estimation methods.

The module applies the techniques to contemporary general equilibrium macroeconomic models designed for positive and policy analysis such as the New Keynesian model but also models that are designed to explain partial equilibrium behaviour such as consumer saving and industry investment.

This module examines central theoretical aspects from modern microeconomic theory, paying particular emphasis on game theory, imperfect competition and incomplete information.

The module will cover a selection of topics in applied behavioural economics where a substantial literature has already developed.

Possible areas include behavioural approaches to: labour economics, public economics, financial economics, development economics.

This module employs tools of microeconomic analysis to address topics central to development issues in low-income countries. One part concentrates on issues concerning household behaviour covering intrahousehold allocation, production, risk, migration and rural markets (especially credit), while the second part focuses on poverty and income distribution, covering measurement, income dynamics, and poverty reduction strategies.

Examples of types of policy issues addressed include:

• randomised controlled trials to evaluate policy interventions
• trade policy reform
• welfare impact of economic partnership agreements
• growth and innovation
• dealing with public debt

The module extends the coverage of advanced econometric modelling techniques and considers their application through the study of selected topics in finance and macroeconomics, developing familiarity and critical awareness of empirical research in these areas.

It covers techniques for the analysis of stationary ARMA processes, Vector Autoregressions (VARs), linear regression models, linear systems of simultaneous equations, cointegration, long-run structural VARs, forecasting, and models of changing volatility. The selected topics include the econometric analysis of business cycle fluctuations, wage, price and (un)employment determination, portfolio choice and stock market returns.

This module covers empirical models of international trade and several topics in trade policy. It discusses firms’ decision to export; the evaluation of export promotion policies; the link between globalisation and labour markets; the gravity model of international trade; free trade agreements; multinational firms; the political economy of trade policy.