
Learn to analyze real estate investments using an Excel dynamic model that updates outputs as you change assumptions, following a blue for hard numbers and black for formulas color-code.
Explore how Excel shortcuts speed up tasks and keyboard work without the mouse, boosting interview performance, with a 'shortcut of the week' approach and on-screen tags guiding the next keys.
Analyze real estate cash flow by focusing on the cash flow statement, and build a three-part model: assumptions, cash flow, and output, that tracks gross rental income and capital expenditures.
Establish acquisition assumptions for a real estate model by listing address, gross leasable area, units, density, and tenant, and compute initial and reversionary yields from price, costs, and rental value.
Model operating assumptions for rental income growth, expenses (taxes, utilities, management), tenant contributions, lease types (triple net, net), CPI, capex, reserves, tenant improvements, and renewals.
Apply debt assumptions to the property model, including loan-to-value, issue fees, base-rate-driven interest costs and margins, and define the loan term, amortization, and balloon payment for an interest-only loan.
Determine holding period and exit date, estimate sale price and sale costs, and use market and gross initial yields and the capitalization rate to project value with sensitivity tables.
Learn to configure real estate cash flow timing from the acquisition date, using monthly cycles with quarterly or annual alternatives, and extend series in Excel for budgeting.
Model gross rental income for a single tenant, adjust for holding period to monthly cash flow, apply CPI-based rent increases, and compute operating expenses as a percentage of income.
Calculate net operating income from gross rental income minus operating expenses. Assess the net operating income margin or gross-to-net leakage to measure property efficiency and market comparison.
Learn how to fund capital expenditures with an annual reserve (one percent of acquisition cost) to avoid large equity contributions, using a date-based formula to calculate cash flow from operations.
Lower debt by modeling the loan amount with a 55 percent ltv. Include loan issuance fees, freeze panes, and an if formula tied to the drawdown and acquisition dates.
Estimate interest expense and amortization with a transparent loan outstanding balance approach, using previous period balance times the base rate plus margin divided by 12, and simplify formulas in Excel.
Analyze debt covenants like the interest coverage ratio and debt service coverage ratio used by banks to assess 12-month cash flow risk in real estate financial modeling, including amortization.
Explore how value appreciation adds to profitability and model acquisition, investment, and exit cash flows, including exit costs and loan repayment on exit.
Calculate levered returns by deriving cash flow before tax from investment, financing, and exit; use Excel to compute IRR and equity multiple, revealing the project returns.
Calculate unlevered returns by summing cash flow from operations, investment, and exit, excluding loan repayments to ignore financing, and derive the internal rate of return and equity multiple for profitability.
Explore presenting real estate results in a concise results sheet, detailing inputs, outputs, acquisition costs, cash flow, efficiency improvements, and IRR-driven insights into returns.
Learn to build sensitivity tables to test how sale price and purchase price affect IRR in real estate projects. The method links results across sheets and mitigates Excel calculation limits.
Analyze the real estate investment model outcomes and offer an investment recommendation, noting lease expiry risk, price renegotiation, and leveraged returns driving the IRR toward 10%.
Learn how to analyze real estate investments in Excel and how to make investment recommendations based on your analysis. On this course you will have the opportunity to practice and become a true excel modelling wiz with the four cases included in the course materials.
The models you build will be completely automated and dynamic and will allow you to test your assumptions and run sensitivity analysis on your main investment assumptions.
If you are preparing for an interview for both real estate investment and asset management roles, this course will help you pass the Excel test that is the first stage on the interview process, because it is based on modeling exercises that I have done as part of recruiting processes.
To get the most out of this course you need previous knowledge of Excel and finance, including among other the use of formulas such as EDATE, SUMIF, INDEX, MATCH, and finance concepts related to revenue, costs, profitability and returns, such as the IRR, equity multiple, cash on cash returns and gross and net initial yields.
It's also good to have some knowledge on debt financing such as loan to value, ratios and financial solvency such as debt yield, debt service coverage ratio and interest coverage ratio.