Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
This track focuses on the essential mathematical concepts and tools that underpin quantitative finance. Topics include stochastic calculus, martingales, and the mathematical modeling of financial markets.
Explore various models for pricing financial derivatives, including both discrete and continuous-time frameworks. Special emphasis will be placed on the Black-Scholes model and its multidimensional extensions.
This session examines admissible strategies and the conditions for arbitrage in complete markets. Discussions will include theoretical foundations and practical implications for market efficiency.
Delve into the complexities of stochastic volatility models and their applications in pricing derivatives. This track will cover advanced techniques and their impact on investment strategies.
Investigate the optimal stopping problem and its relevance in various financial contexts, including option pricing and investment decisions. Participants will explore both theoretical and numerical approaches.
This track focuses on the application of Fourier methods for pricing derivatives and analyzing financial data. Participants will learn how these techniques can enhance model accuracy and efficiency.
Examine the quantitative approaches to risk management within banking and finance sectors. Topics include risk assessment models, regulatory frameworks, and the role of derivatives in hedging.
Explore innovative investment strategies informed by quantitative analysis and mathematical modeling. This track will highlight empirical evidence and case studies demonstrating successful applications.
This session will cover numerical techniques used in financial modeling, including Monte Carlo simulations and finite difference methods. Participants will gain insights into the practical implementation of these methods.
Investigate the interplay between quantitative finance and behavioral factors influencing market dynamics. This track will address how psychological biases can affect investment decisions and market outcomes.
Explore the latest advancements in financial technology and their implications for quantitative finance and risk management. Discussions will include algorithmic trading, blockchain, and machine learning applications.