This blog is a practical guide for real estate professionals on the importance and application of the Debt Yield Ratio. It highlights the Debt Yield Ratio as a key metric for assessing the risk and making informed decisions in real estate investments.
Explore how AI, specifically GPT-4, is transforming real estate financial modelling in our latest blog. Dive into practical demonstrations, real-world applications, and valuable insights from our recent Financial Modelling Mastermind session. Learn how to integrate AI tools like ChatGPT into your workflow to enhance accuracy, productivity, and presentation. Featuring attendee testimonials and a candid discussion on the challenges and future prospects of AI in financial modelling. Stay ahead in the real estate sector with these cutting-edge strategies.
In a recent webinar, I had the chance to dive into some important topics around debt structuring, particularly focusing on capital structure, lending criteria, and different debt repayment methods. My goal was to help participants gain a better understanding of these concepts so they can make smarter decisions in real estate investment. Let me share some of the key points we covered.
During our recent Cambridge Finance Mastermind Session, we looked into how Visual Basic for Applications (VBA) can make your real estate financial models in Excel more efficient and automated. Automation with VBA: VBA enables automation of repetitive tasks in real estate financial models, improving efficiency and accuracy by reducing manual data entry and human error. What we discussed: IRR and Target Pricing: Using VBA to automate Internal Rate of Return (IRR) calculations and target pricing, including how to record macros and refine code for precise automation. User-Friendly Features: Enhancing user interaction with features like assigning macros to buttons, making financial models more accessible and easier to use.