Real Estate Analyst

What Real Estate Markets Actually Are

An accurate mental model of how real estate markets work: the two markets that operate on every building, what moves supply, demand and prices, who the players are and what the rules do, how money and time reach a value, the public decisions that create and destroy it, the failure patterns that repeat, and the questions that prevent most beginners' mistakes.

Asset Classes and Demand Drivers

How residential, retail, office, industrial, and hospitality assets behave, and the demand drivers behind each.

Market Research Fundamentals

Run a real estate market study end to end — from question to defensible recommendation. Framing the study around the decision it serves, mapping supply and weighting a pipeline by evidence of progress, building top-down and bottom-up demand and reconciling them when they diverge, pricing, absorption and benchmarking, primary research and triangulating weak data, and reading where the market sits in its cycle so a forecast carries a basis, a horizon and a falsifier. Ends with an applied toolkit of templates and two worked market studies.

Real Estate Data Workflows

Collect, clean, and analyse property data responsibly.

Writing Market Commentary

Structure and write market analysis clients trust and act on — the question behind the brief, evidence that survives challenge, calibrated language, honest forecasts, and the four documents an analyst actually writes.

Investment Analysis Essentials

Analyse a real estate investment the way an investment committee will read it: the two engines of return, cash flows and cap rates, NPV, IRR and the equity multiple, debt and leverage, defensible underwriting and scenario analysis in emerging markets, and the exit and hold decisions that drive most of the answer. Ends with a recommendation you can defend — including the decision to decline — and an applied toolkit of memo, model, calculator and scenario templates.

Highest and Best Use in Practice

Determine the use that is legally permissible, physically possible, financially feasible and maximally productive — then price it, compare it against real alternatives, and write a recommendation that survives challenge.