Obiettivi formativi
To provide students with a comprehensive perspective on risk management and pricing concepts, tools and techniques.
To develop analytical thinking in understanding and implementing risk management practices/policies.
To engage students in active discovery of risk management principles.
To identify and explain the full risk management process in terms of identification of risks and associated potential costs.
Prerequisiti
Students attending this course are expected to have a basic knowledge
of: i) probability/statistics, ii) mathematical finance and
iii) asset pricing. Some exposure to stochastic processes and partial differential equations would be helpful, but not mandatory.
Risultati di apprendimento attesi
At the end of the course students are expected to be able to realize,
understand and master various state-of-the-art risk management theories and practices.
Contenuti Del Corso
The course is designed to introduce and discuss various risk management concepts, tools and techniques for banks and insurance companies. Using integrated approaches, the course will emphasize discussion on the design and implementation of risk management practices. Attention will be devoted also to the new developments in terms of financial regulation by explaining how the new regulatory framework will affect risk management in the next future. All the models presented will be empirically implemented.
Testi Di Riferimento
John C. Hull, Risk Management and Financial Institutions
John C. Hull, Options, Futures, and Other Derivatives
John C. Hull, Machine Learning in Business
Additional readings
Donald R. van Deventer, Kenji Imai, Mark Mesler, Advanced Financial Risk Management
Szego (ed), Risk Measures for the 21th Century
Duffie, D., Singleton, K.J.. Credit Risk: Pricing, Management, and Measurement
Metodologie Didattiche
The class will be based on lectures, readings and practice sessions aimed at developing an experiential learning approach. Leading risk managers and financial regulators will be invited to share their experience in class with students. All the material will be posted on the course web platform.
Modalità di verifica dell'apprendimento
First exams (December 2024 and January 2025)
Research project (to be done in groups): 40%.
Final exam (written): 60%.
Following exams
Final exam (written): 100%.
The research project will be orally presented by the group members before the written exam. The final written exam will be done with "closed book". Students may not bring notes or other material, but only a calculator.
All the questions in the exams are similar to the exercises at the end of each chapter of the textbook. Some questions are quantitative (i.e. require some computation).
Criteri per l’assegnazione dell’elaborato finale
It will be followed a policy of merit that rewards students more prepared.
Settimana 1
Concepts and the economics of Risk Management (on campus)
Settimana 1
Concepts and the economics of Risk Management
Settimana 2
Definition of market risk and the concept of sensitivity
Settimana 3
Tools for Market Risk Management (financial derivatives/options)
Settimana 4
Structured finance and non linear portfolios: replicating portfolio analysis and Monte Carlo simulation.
Settimana 5
Profit and loss distribution analysis for linear portfolios: parametric VaR approach
Settimana 6
Beyond non-normal returns: historical simulation and stress testing
Settimana 2
Definition of market risk and the concept of sensitivity (on line)
Settimana 7
Credit Risk and counterparty default: structural vs. Intensity based models
Settimana 8
Interest Rate Risk and Liquidity risk: two sides of the same coin. Modelling and measurement approach
Settimana 9
Risk management, pro-cyclicality induced by risk measures and model risk
Settimana 10
Risk Management and AI
Settimana 11
Taxonomy and challenges of “new risks”: ESG and cyber risks
Settimana 3
Tools for Market Risk Management (financial derivatives/options) (on line)
Settimana 12
The rationale of financial regulation in banking, insurance and finance and its evolution
Settimana 4
Structured finance and non linear portfolios: replicating portfolio analysis and Monte Carlo simulation. (on campus)
Settimana 5
Profit and loss distribution analysis for linear portfolios: parametric VaR approach (on campus)
Settimana 6
Beyond non-normal returns: historical simulation and stress testing (on line)
Settimana 7
Credit Risk: structural vs. Intensity based models (on line)
Settimana 8
Credit risk and counterparty default: basic definitions. (on campus)
Settimana 9
Credit derivatives and term structure of default probabilities. (on campus)
Settimana 10
The practice of Risk Management (on line)
Settimana 11
The evolution of financial regulation (on line)
Settimana 12
Key topics in financial regulation (on campus)