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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

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.

ContributorsBerger, Nicholas James (Co-author) / Larrea, Justin (Co-author) / Peters, Matthew (Co-author) / Simonson, Mark (Thesis director) / Gray, William (Committee member) / School of Accountancy (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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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

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.

ContributorsMartin, Virginia (Author) / Koblenz, Blair (Thesis director) / Stapp, Mark (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / Department of Finance (Contributor)
Created2023-05
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This paper takes a critical look at single-family real estate investment trusts’ generative returns since the 2008 Housing Crisis. The research paper presents an overview of REITs legal qualifications, the 2008 Housing Crisis and how the crisis led to the advent of the single-family home REIT industry, a case study

This paper takes a critical look at single-family real estate investment trusts’ generative returns since the 2008 Housing Crisis. The research paper presents an overview of REITs legal qualifications, the 2008 Housing Crisis and how the crisis led to the advent of the single-family home REIT industry, a case study on a single-family home REIT, the current market sentiment, trends that are impacting the performance of publicly traded single-family home REITs, and future opportunity for maximizing returns in the sector. Home pricing discrepancies will arise from the lack of housing starts and increased demand for available homes, leading to diminished returns with pure acquisition strategies. After detailing accessible empirical data on the American single-family home industry, we seek to find alternatives for single-family home REITs to continue to post their prior yield to investors after the 2008 Housing Crisis. Strategies such as development and expansion into rural markets will be examined as potential growth opportunities for single-family REITs.
ContributorsKania, Adrian Janusz (Co-author) / Buyer, Jason (Co-author) / Lawrence, Licon (Thesis director) / Koblenz, Blair (Committee member) / Department of Finance (Contributor, Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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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

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.
ContributorsMakhija, Aditya (Author) / Stapp, Mark (Thesis director) / Koblenz, Blair (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05