This paper will examine the statistical significance of IRR dispersions caused by adjustments to property conditions. Many different economic metrics affect the returns and performance of real estate assets. During the underwriting process, many of these factors are considered and analyzed to find the true value of the asset given a set of market conditions. Because of the dynamic nature of the market, these factors fluctuate and therefore affect asset returns. Using Argus software, real estate managers can identify these variables and see how their adjustments affect asset returns in real-time. The beginning of this paper will start with an outline of the properties being analyzed, and well as financial information and market assumptions. For the statistical analysis, the Argus inputs that will be analyzed are:
1. Rental Revenue
2. Occupancy Rate
3. Tenant Improvements
4. Leasing Commissions
5. Operating Expenses
6. Capital Expenditures
7. Purchase Price
8. LTV
9. Debt Service Payment
10. Exit Sales Price
For the analysis, each variable will be individually adjusted without any changes to the other variables to ensure that changes in IRR are solely a result of the variable being adjusted. After the sensitivity analysis, each variable will be examined further the showcase differences in disparities and provide managerial insight. Finally, the findings will be applied to a modern-day scenario for additional insight on the practice use of the data. The importance of this data is that once analyzed, it can help real estate managers understand the main determinants of value in commercial real estate investments.