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Research

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We analyze what actually works in risk intelligence — and document it. Every article is practical, quantified, and immediately applicable.

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Articles in preparation

Our research team is working on further insights into Predictive Risk Analytics, Monte Carlo methods in portfolio management, and the effect size of early warning signals.

Research
Monte Carlo Simulation in Investment Risk Analysis
Platon & Constantinescu (2014) analyze a €51M project with 1,000 simulations. The results are striking.
Research
Agile or Traditional? How Machine Learning Predicts the Right Project Management Method
Ben Kraiem et al. (2023) test 7 ML models on 99 projects. Gradient Boosting achieves 94% accuracy.

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