Applied Risk Management
Valuation of Derivatives Under AI and Data Science Technologies
~ ARMDAT ~
A 21-Chapter Contemporary e-book with WinORS Software Support
Text-Leveling, ML, Agentic AI and Intelligent Algorithms
ARMDAT integrates internet platforms, mobile technologies, and AI analytics into a modern framework, highlighting AI as a text-leveling tool and advances in cognitive support. Its pedagogy, grounded in real-time data and coverage of ESG, the OBBBA, and prediction markets, builds confidence in communicating analytical strategies.
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The WinORS Software Framework
WinORS delivers practical cloud- and browser-based quantitative software for today's decision-makers in an AI-driven world. Grounded in current academic research, WinORS combines predictive modeling using an optimized K4 Radial Basis Function Neural Network (K4-RBFN), support for multiple conversational AI chatbots, and commercial-grade, multi-objective behavioral portfolio optimization. Its portfolio analytics incorporate advanced covariance and correlation stabilization methods. At the same time, its derivatives tools include sophisticated option-pricing calculators with detailed elasticity measures, single- and multi-factor hedge ratios for equity and fixed-income securities and portfolios, portfolio-margin accounting, and scenario-based probabilistic simulations for historical and forward-looking valuation analysis.
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AI and Data Science in Applied Security and Investment Management: Diagonal Models for Portfolio Diversification
Multiobjective and Behavioral Portfolio Optimization
This book targets researchers and practitioners facing increasing methodological complexity driven by rapid technological change. Focusing on modern financial markets where automated trading underpins investment decisions, it delivers the latest theoretical advances to help decision-makers compete in an algorithm-driven environment.