This thesis will be exploring the situation of one of the most vulnerable groups during the COVID-19 pandemic, low-income renters. As businesses and whole states were shutdown, jobs and wages were lost and the over 100 million renters in the United States, many of whom spend a significant chunk of their income on their rent, were forced into a precarious situation. <br/><br/>The Federal Rent Moratorium that is currently in effect bars any evictions for missed rent payments, but these are expenses that if left unpaid, are just continuously accruing. These large sums of rent payments are currently scheduled to be dropped on struggling individuals at the end of the recently extended date of June 30th, 2021. As these renters are unable to pay for their housing, landlords lose the revenue streams from their investment properties, and are in turn unable to cover the debt service on the financing they utilized to acquire the property. In turn, financial institutions can then face widespread defaults on these loans.<br/><br/>The rental property market is massive, as roughly 34% of the American population consist of renters. If left unaddressed, this situation has the potential to cause cataclysmal consequences on the economy, including mass homelessness and foreclosures of rental properties and complexes. Everyone, from the tenants to the bankers and beyond, are stakeholders in this dire situation and this paper will seek to explore the issues, desires, and potential solutions applicable to all parties involved. Beginning with the pre-pandemic outlook of the rental housing market, then examining the impact of the coronavirus and the resulting federal actions, to finally explore solutions that may prevent or mitigate this potential disaster.

This thesis explores the benefits of tax loss harvesting by examining the time period from 1999-2000 to determine the potential profits investors could realize from utilizing this strategy. The first step to accomplishing this was to collect data from the past 20-plus years from the SPDR S&P 500 Exchange Traded Fund (SPY) and its 11 sectors: Energy (XLE), Consumer Staples (XLP), Consumer Discretionary (XLY), Communication Services (XLC), Real Estate (XLRE), Technology (XLK), Utilities (XLU), Materials (XLB), Industrials (XLI), Financials (XLF), and Health Care (XLV). The next step was to clean the data from hundreds of months of opening prices, closing prices, and quarterly dividends into an annual opening price and total annual dividends to calculate a rate of return. Finally, I found the weightings of the S&P 500 and its sectors on January 1st of every year and input this data into a model whose output reflected the growth of a portfolio with and without the use of tax loss harvesting. Once this model was created, I determined the benefits of tax loss harvesting in the present and the value of carrying these losses forward. The outcomes of this thesis solely reflect the benefits of using tax loss harvesting through a passive investment strategy. This research will enrich academic and professional understandings of tax loss harvesting through its clear demonstration of how much tax loss carryforward can be accessed, as well as the opportunity for gains from compounding interest on previous tax savings due to tax loss harvesting.

The growth of fintech companies in developing countries has led to increased levels of economic development and financial inclusion. This thesis explores the reasons for the success of these companies, with a focus on the impact they have on the local economy and their ability to provide financial services to underserved populations. The intent of this thesis is to educate the reader on the overall landscape of financial technology companies in developing countries. The writing will examine the specific types of services offered by these fintech companies that operate in developing countries and the catalysts that make them successful. It will also cover the impact that these companies have on the nations they operate in by looking at contributions to overall economic development and financial inclusion. The results of this literature will have implications for business leaders, policymakers, and investors interested in promoting financial inclusion and economic development through fintech.

This thesis analyzes the relationship between diversity within U. S. boards of directors and overall firm performance. In the summer of 2020, various political and social movements erupted, fighting against police brutality and racial violence. These events were followed by an influx of diversity, equity, and inclusion (DEI) frameworks across corporate America. It was becoming increasingly clear that diversity within company leadership was lacking. A company’s board of directors, who is responsible for creating value for shareholders, was not an accurate representation of the people it served. First, I will begin by discussing the current state of diversity in corporate boards by discussing reasons firms diversify, benefits and risks of a diverse board, and major barriers to diversification efforts. A main goal of directors is to maximize shareholder return, which prompts the question: is there a financial benefit to having directors of different backgrounds, skills, and perspectives? In the second part of my thesis, I explore the correlation of board compositions and the company’s financial performance through a study of 45 Fortune 500 companies. Previous studies have mixed results; some studies concluded that there is a positive correlation, some found a negative correlation, and others were inconclusive. While the results of my study did not demonstrate that a relationship between firm performance and diversity exists, I want to emphasize that it does not mean that diverse boards do not contribute at all to the success of the board. There are various factors that contributed to my results, but regardless of my findings, I believe that further research of this topic is necessary and will be beneficial for those in corporate governance.

This honors thesis for Barrett, the Honors College at Arizona State University provides an analysis of a leveraged buyout (LBO) of Foot Locker. This thesis serves to demonstrate how a fictional private equity firm would acquire a company through an LBO. The project provides insight onto what private equity firms do, the background of Foot Locker, and an industry analysis on the sector that Foot Locker operates in. The thesis looks to provide a deeper understanding of the fair value of Foot Locker using a discounted cash flow (DCF) analysis, comparable company analysis, and precedent transaction analysis. Included is a pitchbook, the DCF model, and LBO model.