Module overview
Aims and Objectives
Learning Outcomes
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
- develop skills in critically assessing and using official banks and central banks’ statements
- analytical thinking using financial data, by utilising AI and empirical research methodology
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- transformational effect of generative AI on banks and central banks
- application of of predictive AI in financial intermediation and central banking
- 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.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- 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
- assess the role and impact of banks and the central bank, and the need for appropriate regulation and supervision.
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Teaching | 24 |
| Independent Study | 126 |
| Total study time | 150 |
Resources & Reading list
General Resources
Federal Reserve Bank of New York Quarterly Review. Journal / Working Paper Series
Journal of Money, Credit and Banking. Journal
Federal Reserve Bulletin. Journal / Working Paper Series
Journal of Financial Intermediation. Journal
Journal of Financial Stability. Journal
Bank of England Quarterly Bulletin. Journal / Working Paper Series
Journal of Banking and Finance. Journal
Internet Resources
Barcelona 7: Artificial Intelligence in Finance,.
The economic potential of generative AI.
Artificial intelligence in UK financial services - 2024.
The financial stability implications of artificial intelligence.
Intelligent financial system: how AI is transforming finance..
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
Andriy Burkov (2019). The hundred-page machine learning book .
Mishkin (2016). The Economics of Money, Banking and Financial Markets. Pearson.
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% |