AI Academy

Market Microstructure

Instructor: Marco Pagano Duration: 15 hours to complete 3 weeks at 5 hours a week
Objective 1 security market; trading; market liquidity and funding liquidity
Algorithms
Equities
Market Data
Financial Regulation
Financial Market
Market Dynamics
Order Processing
Securities Trading
Market Liquidity
Technical Analysis

Derivatives

Instructor: Giuliano Curatola Duration: 8 hours to complete Recommended experience
Objective 1 Evaluate the effect of investment strategies on the risk and return of a portfolio
Objective 2 Evaluate different uses of financial derivatives (e.g., hedging, speculation)
Objective 3 Evaluate different pricing models to calculate the price of the various financial instruments
Objective 4 Develop and employ theoretical asset pricing models to price these derivative instruments
Mathematical Modeling
Equities
Simulation and Simulation Software
Securities (Finance)
Financial Market
Futures Exchange
Investments
Risk Modeling
Actuarial Science
Probability
Financial Modeling
Finance
Financial Trading
Derivatives
Numerical Analysis

Financial Intermediation

Instructor: Tommaso Oliviero , Ettore Panetti Duration: 1 week to complete at 10 hours a week
Objective 1 analyze business models and their impact on the functioning and stability of the banking sector starting from the databases available online;
Objective 2 evaluate the critical issues and specificities of the modern banking system in contexts where the development of the financial market is limited;
Objective 3 apply banking sector innovations in institutions;identify financial intermediation risks and contribute to long-term economic growth.
Objective 4 analyze banking system effects on market efficiency and stability; evaluate the impact of fintech on financial intermediation.
Econometrics
Economics
Financial Analysis
Commercial Banking
Financial Regulation
Credit Risk
Financial Statements
FinTech
Financial Market
Market Dynamics
Financial Systems
Banking