Spatial Finance: How Satellite Data Is Enhancing Financial Models, with Jorge Rojas

In this episode of Financial Modeler’s Corner, Paul Barnhurst sits down with Jorge Rojas, finance professor, consultant, and Advanced Financial Modeler, to explore how emerging technologies are reshaping financial modeling. Jorge shares insights from his latest research on spatial finance and Earth observation data, explaining how satellite imagery, AI, and alternative data sources are transforming forecasting, investment analysis, ESG reporting, and risk management.

Jorge Rojas is a finance professor, consultant, CFA Charterholder, and Advanced Financial Modeler (AFM) with a PhD in Finance from Tulane University, where he also serves as an Adjunct Professor. He has taught finance across the United States, Europe, Asia, and Latin America, and is the author of several books on corporate finance, risk management, and financial modeling

Expect to Learn:

• How satellite data can improve financial forecasting
• Why Monte Carlo simulation is useful for decision-making
• Practical applications of spatial finance
• Tips for building reliable financial models
• Advice for developing your financial modeling skills

Here are a few quotes from the episode:

• "Most useful financial models should be forward-looking and based on current information." - Jorge Rojas
• "Build your model as automated as possible. It takes more time upfront, but it will save you time later." - Jorge Rojas

Jorge Rojas shares practical insights on building stronger financial models by combining sound modeling principles with modern data sources and risk analysis techniques. Whether you're new to financial modeling or an experienced professional, this episode offers valuable lessons to help you make better-informed financial decisions.

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Company: https://orcid.org/0009-0002-4136-7995

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In Today’s Episode:

[00:00] – Trailer

[03:08] – Financial Modeling Horror Story

[04:35] – Why Jorge Enjoys Teaching

[07:38] – CFA & AFM Certifications

[12:18] – Introduction to Spatial Finance

[17:01] – Satellite Data in Finance

[25:41] – Monte Carlo Simulation

[32:20] – Modeling Agricultural Risk

[37:57] – Rapid Fire Questions

[45:29] – Advice for Financial Modelers