Econometric Advisors' blog
By Christina Tong, Stefan Weiss, Tyler Mangin, Ph.D.
CBRE Econometric Advisors (CBRE EA) now offers a stand-alone effective rent series for the office sector, covering 61 U.S. markets including 834 submarkets on a quarterly basis with data going back to Q4 2010.
The EA Effective Rent series is based on a net present value (NPV) analysis incorporating base rent, term, escalations, free rent, tenant improvement allowances, and a discount rate equal to the long-run returns of the NCREIF office index. We then apply a payment function to identify the fixed rent that has the same NPV as the actual stream of cashflows.
Tenant Improvement Allowances (TIs) are the most frequently discussed and most nebulous of the deal terms that impact effective rent calculations. Unsurprisingly, they were the most complicated to model. Along with individual deal and market factors, we were excited to find that both lagged real Treasury bond yields and lead inflation expectations were significant in predicting deal level TIs.
Leveraging CBRE proprietary voucher data, CBRE EA uses a panel model to predict the gap between asking rent and taking rent. EA’s ability to match individual transactions to suite-level asking rent at the time of transaction allowed for the mapping out of an ask-to-take discount percentage for nearly every transaction in our database. We then modeled how key factors influence and drive this discount, landing at a model for the ask-to-take discount that utilizes deal level factors (lease size, lease term, and lease’s matched asking rent) as well as market level factors such as the vacancy rate and asking rent. This modeled discount is then applied to the EA Asking Rent series to form the EA Taking Rent series (Figure 1).
The EA Taking Rent series was a pivotal step toward an EA Effective Rent series. In addition to accounting for lease term, rent escalations, free rent concessions, and tenant improvement allowances, a key component of an effective rent series is the ability to account for the time value of money. To do this we construct a discount rate which reflects the opportunity cost of capital for the office investment. A return that an investor would expect to gain in other investments of similar risk. Aggregating each of these components via the equation below allows us to compare different transactions with different cash flow schedules to accurately assess the relative value of each transaction (and most importantly, how that ‘true value’ is changing over time and across markets):
Effective Rent = (i )/〖1-(1+i)〗^(-n) ∗ (-TI+R_t/(1+i)^t +R_((t+1) )/(1+i)^(t+1) +R_((t+2) )/(1+i)^(t+2) +…+R_((n))/(1+i)^n )
Where i = Discount rate
R_t = net cash flow per sf at time t
T = 1,t time period
TI= Tenant Improvement
N= number of years (standardized to a 7-year term)
Modeling the components of EA Effective Rent
To model TIs, we leveraged a generalized linear model (GLM) with a Poisson distribution and a log link function. This best fitting model is represented by the equation:
〖log(E(TI〗_jt)) =β0+ β1∗〖LeasingSF〗_jt+ β2∗〖Term〗_jt+β3∗〖TakingRent〗_jt+β4∗〖RealRentGrowth〗_t+β5∗〖RealLagTbond〗_t+β6∗〖LeadInflation〗_t+MarketFE
Where;
〖TI〗_jt = Tenant Improvement Per s.f. for deal j at time t
〖LeasingSF〗_jt = lease square feet for deal j at time t
〖Term〗_jt = lease term in years for deal j at time t
〖TakingRent〗_jt = Taking rent for deal j at time t
〖RealRentGrowth〗_t = inflation adjusted asking rent growth at time t
〖RealLagTbond〗_t = 10-Year Real Treasury Bond Rate at time t-1
〖LeadInflation〗_t = Lead 1-Year Inflation rate at time t
MarketFE= Market level fixed effect
t =1,T time periods
j= 1,N deals
Aside from being statistically significant, the inclusion of the lagged real Treasury bond makes sense as the cost of capital influences an owner’s decisions to ‘lend’ by way of an expensive buildout package. There is also, generally, a substantial lag between when a lease is negotiated and when the final lease is signed.
A similar logic applies to the inclusion of inflation on a one-year lead, as a tenant’s actual cost to construct a buildout assumes expectations of inflation throughout the construction period.
As a last step, we take the coefficients outputted from this model and feed in the market-level taking rent, a fixed lease size to 20,000 sq. ft. and a lease term of seven years. Once again, fixing size and term allows us to standardize and compare the TI (and by extension effective rents) across markets.
Estimating equation 2 gives us the TI values needed to construct an effective rent series going back to 2010 across all 61 of EA’s Tier 1 markets. While every deal contains its own nuances, for simplicity TIs are recognized in period 0 and free rent is recognized in period 1. We then calculate the NPV of the stream of cashflows using an 8.2% discount rate. Lastly, use a simple payment function to identify the fixed payment which, at the same 8.2% discount rate, has the same present value as the actual stream of cash flows.
To ensure a more robust sample, the EA Effective Rent was first modeled on an annual basis and then a quarterly series was interpolated using a cubic spline function.
To gain more granularity, we share down the market level EA Effective Rent to submarkets using the market level relationship between vacancy and effective rent/taking rent discount as a guide. To reduce the impact of vacancy volatilities, we put guardrails on the movement of the effective rent discount based on the submarket’s correlation with the broader market. Submarkets with more volatile vacancy movements will have discounts that more closely match the broader market, and vice versa.
While the EA team is proud to be releasing the EA Effective Rent series to office sector subscribers, we are rapidly pushing the next round of exciting updates. These include:
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