Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- AI, changing regulatory and governance landscape and broader financial stability
- the tools of predictive and generative AI
- the role of banks and the central bank and how they influence the economy, including consumer prices and asset prices.
- application of of predictive AI in financial intermediation and central banking
- transformational effect of generative AI on banks and central banks
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- assess the role and impact of banks and the central bank, and the need for appropriate regulation and supervision.
- understand the impact of AI on banking regulation and governance
- understand the impact of predictive and generative AI on the functions of banks and central banks
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- learn tools of predictive and generative AI and their application using Python
- analytical thinking using financial data, by utilising AI and empirical research methodology
- develop skills in critically assessing and using official banks and central banks’ statements
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Independent Study | 126 |
| Teaching | 24 |
| Total study time | 150 |
Resources & Reading list
General Resources
Federal Reserve Bulletin. Journal / Working Paper Series
Federal Reserve Bank of New York Quarterly Review. Journal / Working Paper Series
Journal of Money, Credit and Banking. Journal
Journal of Financial Stability. Journal
Bank of England Quarterly Bulletin. Journal / Working Paper Series
Journal of Banking and Finance. Journal
Journal of Financial Intermediation. Journal
Internet Resources
Artificial intelligence in UK financial services - 2024.
Intelligent financial system: how AI is transforming finance..
The financial stability implications of artificial intelligence.
Barcelona 7: Artificial Intelligence in Finance,.
The economic potential of generative AI.
Journal Articles
Nergiz Dincer, Barry Eichengreen, and Joan J. Martinez (2024). Central bank independence: Views from history and machine learning.. ANNUAL REVIEW OF ECONOMICS.
Textbooks
Mishkin (2016). The Economics of Money, Banking and Financial Markets. Pearson.
Andriy Burkov (2019). The hundred-page machine learning book .
Casu, Girardone and Molyneux (2015). Introduction to Banking. Pearson.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Examination | 70% |
| Analysis and report | 30% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |