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The module content includes:

• an examination of the theories of the retail bank
• an overview of the sector
• central banking
• bank capital
• analysis of the balance sheet and income statement of banks
• bank data and performance analysis using FRA
• managing liquidity and liabilities
• asset management and the lending decision
• managing the investment function
• the use of loan sales and securitisation

This module covers the context of financial services with a particular focus on the UK, including:

• current regulatory developments, consumer policy initiatives and current market developments and controversies
• a focus on the challenges associated with the marketing of financial services and how the principles and tactics of marketing are employed in financial services markets 
• coverage of the debate surrounding the importance of ethics and professionalism in financial services provision 
• detailed analysis of consumer behaviour and in particular decision making in financial services markets

The module covers:

• investment, capital structure and divident decisions from a shareholder value perspective
• capital market behaviour (background)
• mergers
• real options

This module covers:

• bank data sources
• analysing bank data
• panel data analysis
• bank modelling theory
• estimating asset scale bank economies
• estimating translog and share equations (clustering)

Equity, fixed income and derivative securities will be considered individually and portfolios. These will be presented as extensions of previously studied material as well as new topics.

Among individual security classes topics will be:

• Equities: Mean-variance efficient portfolios, CAPM, dividend discount valuation
• Fixed Income: Basic bond terminology and valuation, interest rate term structure and forward rates, duration, convexity and hedging
• Derivatives: Common options, real options
• Principles of financial derivative valuation and analytic and numerical methods for valuation

This module covers:

• a re-examination of bank asset transformation and risk exposure
• measuring and managing credit risk
• measuring and managing liquidity risk
• measuring and managing interest rate risk
• market risk exposure and management
• using bank capital in risk management
• operational and conduct risk
• the use of derivatives in bank risk management

The module covers:

• Introduction and historical overview
• Statistical underpinnings of quantitative risk management
• Measures of financial risk
• Risk measurement in practice: Parametric approaches, non-parametric approaches, Monte Carlo approaches, extreme value approaches
• Liquidity risk
• Backtesting
• Credit risk

This module provides a comprehensive exploration of key topics in international finance, structured around two main themes:

• the Global Financial Environment
• Foreign Exchange Theories and Markets.

Students will gain insights into the opportunities and challenges of multinational financial management, the international monetary system, and the balance of payments, equipping them with a solid understanding of the global financial landscape.

The module then focuses on the mechanisms and theories underpinning foreign exchange markets, covering international parity conditions, foreign currency derivatives, exchange rate determination, and transaction and translation exposure.

Additionally, the course integrates Environmental, Social, and Governance (ESG) considerations, examining how sustainability concerns influence multinational financial strategies, currency markets, and risk management. 

This module covers bank regulation, stress tests, digital banking, and current issues.

This module provides a comprehensive introduction to blockchain technology and cryptocurrency, covering key concepts such as distributed ledger technology (DLT), cryptographic foundations, and consensus mechanisms.

You will explore major blockchain ecosystems, including Bitcoin and Ethereum, and examine their impact on financial markets, digital assets, and decentralized finance (DeFi).

The module also extends beyond finance, addressing applications in areas like supply chain management, identity verification, and the emerging metaverse.  

Module description to be confirmed.

The module aims to allow you to synthesise, apply, and extend the knowledge you have gained in the taught component of the programme by engaging in primary data collection. Through investigating a current research topic and gathering original data, you will develop a deeper theoretical and practical understanding of contemporary issues in your area, while also enhancing your research, communication, and data analysis skills.

The Business Project requires students, working as groups, to undertake research in a topic which is relevant to business, management, marketing, finance, accounting, or information system. You must choose their research topic that is relevant to your named degree programme. The specific topic is subject to a formal approval process.

The module is intended for you to apply knowledge, concepts, skills, and techniques, acquired during the taught stage of your programme to real-world, business scenarios. You will be presented with real-word business problems for which you are required to review relevant literature, conduct research, analyse data, and formulate viable solutions.

* Option of a Business Project subject to availability and a student selection process.