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AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.
A mapping between SDCs M&A database and the gvkey's in Compustat
SAMAR is an AI-driven tool designed to automate research and analysis processes for mergers and acquisitions (M&A), facilitating the generation of comprehensive reports. By leveraging advanced artificial intelligence techniques, SAMAR streamlines tasks such as data collection, financial modeling, and risk assessment.
Predicting merger decision outcomes of the European Commission: A Natural Language Processing and Machine Learning approach
A curated list of awesome acquisitions happened. Free feel to add more.
Script to set AutoResponder inbox rule on an Exchange mailbox. This can be used to inform relations and partners sending messages to support mergers, acquisitions or rebranding.
Events study: Kalman filter and neural network applications with a case study on M&A price run-ups
Chinese Investment Analytics
Cultural Due Diligence 2.0 - Winner Qloo LLM Hackathon 🏆
M&A Leadership Simulator puts players in the seat of a leader navigating the human side of a merger — integration decisions, cultural friction, communication timing, and the moments where the deal that looked good on paper starts to unravel in the hallway.
Hypothetical Monopoly Test
📊 Track global M&A deals in real-time, filter by country and sector, and stay informed for smarter investment decisions.
Exam questions from my Master of Business Administration at the University of Padova
LLM-powered system prompts for analyzing M&A NDAs. Delaware-optimized, Buyer/PE perspective.
Global Life Sciences & Health Technologies Outlook (2026-2035) Strategic data frameworks and market intelligence analyzing the convergence of Biopharma, MedTech, and Healthcare Services. This repository hosts models and regulatory analysis focused on Integrated Resilience amidst geopolitical fragmentation, tracking the shift from volume based car
Detailed analysis and success prediction of a Acquisition model under different scenarios that forecast financial synergies and pro forms valuation. Includes dynamic input for seamless evaluation
Proximus, by smartmarkets.ai: precomputed proximity oracle for M&A and vertical index scores. Federal data. 100% census coverage.
AI-powered M&A screening pipeline: Automating financial evaluation and NLP classification for private equity dealflow.
A full-scale corporate finance and valuation framework of the Chevron-Hess Mega-Deal. Built entirely in Python, showcasing data driven DCF, LBO, and synergy analysis for strategic M&A evaluation.
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