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- All Subjects: Commercial real estate
- All Subjects: REIT
- Creators: Koblenz, Blair
- Creators: Berger, Nicholas James
This thesis examines the value creation potential of renovating an existing commercial real estate asset to a medical office. It begins by examining commercial real estate and the medical sector at a high level. It then discusses the various criteria used to select a subject property for renovation. This renovation is then depicted through a modified pitch book that contains a financial model and pro forma.
This thesis investigates the performance of publicly traded equity real estate investment trusts (REITs) in the United States (U.S.) and their sensitivity to underlying macroeconomic factors. Specifically, this study employs a quantitative research analysis that utilizes technical, correlation, and regression analyses to identify how different REIT sectors react to changes in economic conditions. Data for the study was collected from publicly available and reliable sources, including the National Association of Real Estate Investment Trusts (Nareit) and the Federal Reserve Economic Data (FRED). Four areas of research guide the study. First, the study explores the relationship between different REIT property sectors and the underlying causes of similarities and differences in sector performance. Second, the study examines how macroeconomic variables, such as GDP, inflation, and interest rates, affect the performance of publicly traded equity REITs. Third, the study investigates the significance of the relationship between macroeconomic factors and REIT sector performance to assess the varying impact on different property types. Finally, the study explores whether a model can be developed to predict the performance of REIT sectors based on macroeconomic variables. Overall, the findings in this study will provide valuable insights into how REITs across and within property types perform and react to changes in the macroeconomic environment. Furthermore, because real estate represents a significant component of the economy, it can offer investors valuable insights into broader economic trends and conditions, contributing to a better understanding of economic cycles and identifying potential opportunities and risks.
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.