GEN1000 for students admitted to Year 1 before AY2025/26, Year 2 before AY2026/27, or Year 3 before AY2027/28, except with the permission of the Module Coordinator
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This module discusses the quantitative dimensions of financial risk management and the impact of technological innovations. It focuses on analysing and quantifying financial risks which may lead to setbacks or suboptimal outcomes for the community. Students are expected to apply knowledge of financial risk management and develop a quantitative mindset to solve financial risk-related problems. The ethical considerations of financial risk management will be discussed. With the help of state-of-the-art technology (such as Machine Learning), students are expected to demonstrate technological mindset in navigating uncertainties and contributing to the well-being of the broader community by using a wide range of quantitative risk management techniques.
Upon completion of this module, students should be able to:
1. Introduction
1.1. Overview of risks in financial activities
1.2. Historical development of risk management in finance
1.3. Evolution and development of quantitative risk control techniques
1.4. Impact and social implication of financial risk management and the related quantitative risk control techniques
1.5. Introduction to regression analysis
2. Understanding and communicating financial risks with examples
2.1. Interest rate risk
2.2. Systemic risk
2.3. Other financial risks
2.4. Ethical consideration
3. Using Machine Learning technology with its related software (for example: SAS) to manage financial risk quantitatively
3.1. How technology improves financial risk management and risk control techniques
3.2. Financial risk identification and assessment
3.3. Quantitative risk analysis
3.4. Financial risk monitoring and reporting with creative digital visualization
