Reactive Publishing

Applied Financial Engineering delivers a rigorous, practitioner-oriented treatment of the quantitative methods that underpin modern derivatives pricing, risk measurement, and portfolio construction.

The book develops the core mathematical and computational toolkit required to move from theoretical models to implementable solutions. Readers progress from foundational stochastic processes and no-arbitrage pricing to the practical construction of pricing engines, risk systems, and allocation frameworks used in institutional settings.

Key areas covered include:

• Stochastic calculus and numerical methods for derivative valuation
• Risk-neutral pricing, Greeks, and model calibration
• Market, credit, and liquidity risk measurement
• Portfolio optimization under realistic constraints
• Simulation techniques for stress testing and scenario analysis
• Integration of quantitative models into trading and risk workflows

Written for quantitative analysts, risk managers, portfolio managers, and advanced students, the text emphasizes clarity of derivation, numerical stability, and the practical limitations of models in live markets. Equations are accompanied by implementation considerations, and theoretical results are consistently linked to the decisions practitioners actually face.

This is a focused technical resource for professionals who need to understand, build, and critically evaluate quantitative systems for derivatives, risk, and portfolio construction.