The researcher combines his personal case study with a literature review to present his real estate investment model, exploring commercial and residential real estate investment opportunities and risks in the current market economy. The main premise of the model is that using financial acumen and systems models as the approach to investing in real estate provides the opportunity for high rates of return due to a variety of innate factors. The model explores the risks and opportunities of investing by: a) The use of leverage in property acquisitions; b) Accessing significant IRS tax advantages for investors, including the use of depreciation schedules, cost segregation models, 1031 tax-deferred exchanges, and tax-free cash-out refinancing. Risks in residential and commercial real estate can result from internal factors within the owner’s control or be caused by external factors beyond the investor’s control. AI, machine learning, and dynamic factor models for real estate investment are explored.
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Denis Burke (2025) studied this question.
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