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Finance & Economics

Portfolio simulation, option-pricing, macroeconomic models, stress testing

3 articles

Article

Implementing Regime-Switching Models for Macroeconomic Stress Testing

Regime-switching models capture structural breaks in financial markets by allowing statistical properties to vary across latent economic states. This article covers practical implementation of Hamilton Markov-Switching models in Python, forward simulation for stress testing, and integration with regulatory frameworks such as DFAST and CCAR.

By Jeff 23 views
Article

Agent-Based Modeling for Market Microstructure Analysis

Explore how agent-based modeling revolutionizes market microstructure analysis by simulating heterogeneous traders and order book dynamics. Learn implementation strategies, practical applications in regulatory analysis and algorithmic trading, and advanced techniques for building realistic financial market simulations.

By Jeff 29 views
Article

Advanced Workflow Automation for Finance & Economics Simulations

Discover how advanced workflow automation is transforming financial simulations through AI-powered tools, API integration, and cloud-based processing. Learn the technical frameworks and best practices that enable modern finance professionals to replace manual, error-prone processes with scalable, accurate simulation workflows.

By Jeff 24 views