Find out more about studying MRes Finance at University of Essex? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.
Master of Research - MRes
University of Essex
Full Time
Oct 2027
1 Year
Finance refers to a wide range of topics within a vast research field which covers themes including: econometrics, portfolio analysis and hedging financial risk. You will explore qualitative and quantitative methods of research specifically designed to reflect the field of banking and finance.MRes Finance is designed for those wishing to follow a career in research and/or academia, there is a strong research focus in this degree, although there are some taught elements which will support your knowledge of the research field. An MRes is the ideal first step if you hope to progress to doctoral studies, such as a PhD. Essex Business School is helping to create the business leaders of the future; those who are creative, innovative and ethically aware. 90% of University of Essex’s postgraduate graduates are in employment or further study (Graduate Outcomes 2021).Our Student Support team work closely with the University’s Employability and Careers service to help you with careers information and advice and CV support. They will help you find work experience, internships, placements and voluntary opportunities and provide access to employer talks on campus. We also work closely with the Essex Startups team to support our budding entrepreneurs get their business ideas off the ground.
Your dissertation is the culmination of your Masters programme, where you apply the knowledge gained on your course to produce an extended independent piece of work. You generate an original idea, analyse literature and current knowledge and produce a coherent argument that shows your ability to relate theory to practice. Your dissertation will help you develop vital skills for the workplace, as well as the ability to analyse real problems through an academic lens. You are assigned a supervisor for the duration of your project.
Gain a formal introduction to asset pricing theories and empirical findings. You review the fundamental theories of the expected utility, asset pricing kernels, and risk-neutral valuation, covering the Capital Asset Pricing Model (CAPM), and linear factor models arising from the Arbitrage Pricing Theory (APT). You also discuss empirical asset pricing studies.
Understand the process of portfolio management. You cover the main concepts such as efficient diversification, managing risk exposures, and the valuation of financial assets that are at the core of managing investment portfolios, and pay special attention to the practicalities of the implementation of these concepts.
This course will provide you with a thorough grounding in both the theory and practice of time series econometrics with applications to topics relevant to finance. This knowledge, along with training in industry standard computing software, will be highly beneficial to students undertaking further study or wishing to work in the financial sector.
The recent financial crisis and credit crunch have demonstrated that risk management was too narrowly defined. In this course you examine the Value at Risk (VAR) measure of financial risk developed in the 1990s, before discussing the new post-crisis Regulatory environment.
This module provides you with an understanding of non-time-series data analytic approaches in finance. It covers methods for cross-sectional, panel and qualitative analysis and their applications whereby all topics are illustrated with relevant examples. Cross-sectional data are organised over individual groups (eg households, firms or countries) and have no time dimension. They may include discontinuous data (eg binary), qualitative or categorical data and are essentially non-numerical. Examples include: survey responses, textual analysis of social media or interviews. Panel data or longitudinal data are multi-dimensional data streams involving measurements over time. As such, panel data consists of researcher's observations of numerous phenomena that were collected over several time periods for the same group of units or entities. For example, a panel data set may be one that follows a given sample of individuals over time and records observations or information on each individual in the sample. The nature and advantages of panel data has led to numerous applications in finance and economics research.
This module covers topics in mathematics that are required in Masters-level finance courses at the University of Essex. You focus on the basics of linear algebra, differential calculus including optimisation and dynamics.
