Learning means transforming content into judgment.
A space supporting classes and courses: interactive labs, subjects, exercises, cases, spreadsheets, readings and tools for deeper study — in or outside the classroom.
The proposal is to organize learning experiences: problems, models, exercises and tools that require students to interpret, decide and justify.
Tools for learning by doing.
Financial Analysis Lab
An interactive environment for entering data, calculating indicators, interpreting results and testing the integration between financial statements and financial analysis.
Open lab · Portuguese interface →Budget Lab
Interactive budgeting workshop integrating income statement, cash flow and balance sheet, with checkpoints, support materials and classroom resources. The lab interface is currently in Portuguese.
Open lab · Portuguese interface →An expanding teaching map.
The areas below bring together recurring themes in my classes and courses. Some already have dedicated tools; others will receive materials gradually.
Corporate Finance
Capital structure, cost of capital, investment decisions, value creation and corporate financial decisions.
Investments & Portfolio Management
Risk and return, diversification, allocation, efficient frontier and investment decisions.
Valuation & Project Evaluation
Discounted cash flow, cost of capital, multiples, projects and scenario analysis.
Private Equity, Venture Capital & Startups
Investment, valuation, structuring, governance, monitoring and exit.
Behavioral Finance & Economics
Biases, heuristics, expectations and decision under risk and uncertainty.
Accounting & Financial Analysis
Balance sheet, income statement, cash flow, indicators, working capital and performance.
Financial Mathematics & Fixed Income
Time value of money, rates, bonds, duration, pricing and Excel.
ESG, Impact & Sustainable Finance
Impact, responsible investment, ESG instruments and sustainable financial decisions.
Business Economics & Decision-Making
Incentives, economic environment, strategy, scenarios and business decisions.
Critical Thinking, Philosophy & AI
Doubt, argumentation, biases, uncertainty and critical use of artificial intelligence.
Different formats for different problems.
Not every piece of content needs to become a PDF. The format should serve the kind of learning it is meant to provoke.
Tools do not replace judgment.
Spreadsheets, models, simulators, and AI can expand analytical capacity, but they do not define the problem on their own or choose the relevant criteria.
That is why the Teaching area combines calculation and interpretation. Students are invited to reach an answer — and also explain why it makes sense, which assumptions support it and where its limits lie.
The goal is to bring theory, experience, technology and decision closer together without turning any of them into a shortcut for thought.
From calculation to judgment.
The labs and subjects connect to two broader axes of the site: deciding under uncertainty and using technology without outsourcing one's own criteria.
Decision-making under uncertainty
Models, probabilities, biases, risk, and responsibility when no analysis can eliminate uncertainty completely.
Open pillar page →Technology, AI & attention
How digital tools and artificial intelligence can extend analysis without replacing verification, context, and judgment.
Open pillar page →Better a few genuinely useful resources than an endless folder of files.
The area will continue to grow subject by subject, with curation and a focus on materials that can actually be used in class or individual study.