Derivatives Pricing
Mathematical models for valuing financial derivatives, including options, futures, and swaps using stochastic calculus and partial differential equations.
Explore the intersection of mathematics, computer science, and financial theory through comprehensive tools and analysis.
Mathematical models for valuing financial derivatives, including options, futures, and swaps using stochastic calculus and partial differential equations.
Quantitative approaches to measuring and managing financial risk, including Value at Risk (VaR), stress testing, and scenario analysis.
Modern portfolio theory implementation, efficient frontier analysis, and advanced asset allocation strategies.
Application of Itô's lemma and stochastic differential equations in financial modeling.
Implementation of neural networks and deep learning for financial prediction and risk assessment.
Exploring quantum algorithms for portfolio optimization and risk calculation.
Smart contracts and decentralized finance (DeFi) mathematical models.