The Royal Institute of Property Surveyors says the value of commercial properties in the UK will fall by more than 50% by the end of 2010 (see Guardian article here). Is that forecast plausible? Could it happen here in the US? The answer to both questions is yes.
Income property value is a function of the cash flow it generates. The cash flow has the following components:
- Gross Potential Income (GPI) – This is the total rent the property generates if it is 100% occupied.
- Vacancy/Collection Loss/Concessions – This is a deduction for any unleased space, bad debt, or discounted rent.
- Effective Gross Income (EGI) – GPI less Vacancy/Collection Loss/Concessions
- Operating Expenses – Expenses related to property operations The usual categories are real estate taxes, insurance, utilities, repair and maintenance, management fees, payroll, administrative expenses (advertising, telephone, etc.), and a reserve for capital items.
- Net Operating Income – The EGI less Operating Expenses.
The value of the property is the capitalized value of the NOI, and is determined by dividing the NOI by a capitalization rate (cap rate). The cap rate is the annual rate of return on an all cash purchase of the property. You determine the applicable cap rate for a property by looking at the cap rates of comparable properties which have recently sold in a project’s market (more here if you are not familiar with cap rates).
Here’s an example:
What does it take to produce a 50% decline in the value? Let’s say rents fall 10%, vacancies increase to 15%, operating expenses increase to 55% of EGI, and cap rates increase to 7%. Here is the math:
How plausible is it that such declines and increases will occur? Very plausible – all such changes are well within the shifts which have occurred in previous severe recessions.
I was at a dinner the night before an Urban Land Institute forecasting conference last month, and the keynote speaker (an economist with a major accounting firm) mentioned their commercial property forecasting model had more than 60 variables. Almost always these models are proprietary and we never get to see how they work, and even if we did get to see them, most of us are not going to question the math. Instead, we decide whether or not to believe the forecast based on the reputation of the person or firm presenting the forecast. In, the end, this is not all that different than just relying on the opinion of the professional that seems to make the most sense.