Why does using just price data often outperform traditional market fundamentals in predicting real estate trends?

In this episode, financial engineer and real estate investor Stefan Tsvetkov explains why relying on price trends can be more accurate than using population, income, or job growth to forecast appreciation. Drawing from years of data modeling and firsthand investment experience, Stefan breaks down the mechanics of momentum in real estate markets and introduces tools for predicting downside risk. He also shares lessons from the 2008 crash to highlight the risks of ignoring valuation. This is a numbers-based look at smarter, leaner ways to evaluate and choose real estate markets.

[00:01 - 06:00] The Case for Price Over Fundamentals

• How price data leads to fewer forecasting errors.
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