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- Creators: Department of Finance
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Description
For this thesis, the authors would like to create a hypothetical Private Equity Real Estate Investment firm that focuses on creating value for partners by taking an opportunistic approach to acquiring under-performing urban multi-family properties with large upside potential for investing. The project will focus on both the market analysis and financial modeling associated with investment strategy and transactions. There is a substantial amount of complexity within commercial real estate and this thesis seeks to offer an accurate and comprehensive documentary of the process, while simplifying it for everyday readers. Additionally, there are a significant amount of risk factors associated with investment decisions, so the best practices from the industry documented in this manuscript are valuable tools for successful investing in the future. To gain the most profound and reliable industry knowledge, the authors leveraged the experience of dozens of industry professionals through research and personal interviews. Through careful analysis, the authors were able to ascertain the current economic position in the real estate cycle and to create a plan for future investing. Additionally, they were able to identify and evaluate a specific asset for purchase. As a result, the authors found that multifamily properties are a sound investment for the next two years and that the company should slowly start to shift directions to office and retail in 2018.
ContributorsBacon, David (Co-author) / Soto, Justin (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Exchange traded funds (ETFs) in many ways are similar to more traditional closed-end mutual funds, although thee differ in a crucial way. ETFs rely on a creation and redemption feature to achieve their functionality and this mechanism is designed to minimize the deviations that occur between the ETF’s listed price and the net asset value of the ETF’s underlying assets. However while this does cause ETF deviations to be generally lower than their mutual fund counterparts, as our paper explores this process does not eliminate these deviations completely. This article builds off an earlier paper by Engle and Sarkar (2006) that investigates these properties of premiums (discounts) of ETFs from their fair market value. And looks to see if these premia have changed in the last 10 years. Our paper then diverges from the original and takes a deeper look into the standard deviations of these premia specifically.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
ContributorsZhang, Jingbo (Co-author, Co-author) / Henning, Thomas (Co-author) / Simonson, Mark (Thesis director) / Licon, L. Wendell (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
My Honors Thesis is about answering a central question regarding the business of real estate: "What is the return on investment of obtaining a real estate license?" I focused my research on the monetary, time, and other value factors that affect the initial cost of securing a real estate salesperson license in the State of Arizona (costs) and the amount of money a licensed salesperson makes as a result of having a salesperson license (income). Licensees make this trade-off: the cost in terms of real dollars to obtain a license, as well as the opportunity costs associated with the time to secure, start using, and begin to earn money by way of a salesperson license. To answer the central question I conducted a survey of active licensees in order to determine the value ascribed to holding a real estate salesperson license. Through my research, I concluded that there is not a single number that can be assigned to a real estate license that indicates its value, but the data collected reveals that the return on investment has the potential to be great. Upfront costs and fees necessary to obtain a license are insignificant when the commission a licensee can then make from a single transaction is enough to cover those expenses. Therefore, based on the survey results and research into the initial costs associated with obtaining a real estate license, there appears to be sufficient data to support a positive return on investment and warrant obtaining a real estate license.
ContributorsSanders, Sarah (Author) / Stapp, Mark (Thesis director) / Koblenz, Blair (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper investigates whether measures of investor sentiment can be used to predict future total returns of the S&P 500 index. Rolling regressions and other statistical techniques are used to determine which indicators contain the most predictive information and which time horizons' returns are "easiest" to predict in a three year data set. The five "most predictive" indicators are used to predict 180 calendar day future returns of the market and simulated investment of hypothetical accounts is conducted in an independent six year data set based on the rolling regression future return predictions. Some indicators, most notably the VIX index, appear to contain predictive information which led to out-performance of the accounts that invested based on the rolling regression model's predictions.
ContributorsDundas, Matthew William (Author) / Boggess, May (Thesis director) / Budolfson, Arthur (Committee member) / Hedegaard, Esben (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor)
Created2013-12
Description
We gathered and analyzed key data from a wide-range of competitors in the foundry, fabless, and Integrated design manufacturing business. After detecting a downward trend in the return of invested capital (ROIC) and higher capital intensity of Company X, we searched for alternatives to turn this around. We conclude that, to decrease the net PPE of Company X, a sale-leaseback transaction would help Company X reduce their balance sheet and provided financing to advance their manufacturing capabilities.
ContributorsBhat, Arjun Khandige (Co-author) / Brock, Ethan (Co-author) / Gamperl, Max (Co-author) / Gupta, Viraj (Co-author) / Macha, Sanketh (Co-author) / Simonson, Mark (Thesis director) / Duran, Juan Carlos (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Abstract<br/>Foreign Direct Investment has been pursued to economically integrate countries and to increase economic development. This has been accomplished partly through the WTO and Free Trade Agreements (FTAs), which have spurred foreign direct investment (FDI) by removing barriers to trade tariff and nontariff. In addition, they also created a framework and legal guidelines and regulations for investment and trade. Research suggests that this is the case when looking at country level data before and after FTAs go into effect. Although the existing literature offers important insights a weakness is it does not often look at the relationship between FTAs and FDI by analyzing firm level data. This is an important relationship to be studied as, beyond governments multinational companies (MNCs) are one of few key actors that can benefit the most and have the capabilities to take advantage of these FTAs. Therefore, studying the relationship between MNCs and their investments both before and after an FTA is signed is important to see if FDI would change in response to Free Trade Agreements and have an impact at the MNC level deployment of FDI. This would be significant to see if the current steady for attracting FDI is working. This is also important as FDI helps countries develop. Therefore, it can be seen as an exceptional contribution to the overall research on the subject. In this paper I will explore how companies have reacted to the formation of FTAs as well as the distinct effects of North-South South-South and North-North Agreements on firm’s investment strategies, using firm level data and drawing on interviews with multiple trade officials.
ContributorsHawks, Noah K (Author) / Gamso, Jonas (Thesis director) / Roy, Nelson (Committee member) / Ault, Joshua (Committee member) / Thunderbird School of Global Management (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The United States and the Soviet Union faced off in Europe, but what did the spread of their influence look like around the globe? This is answered through researching the economic and political nuances of the Cold War.
ContributorsVallely, Ethan (Author) / Niebuhr, Robert (Thesis director) / Collins, Gregory (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2023-05
Description
Using panel data for 28 countries, all within the European Union from the period spanning 2012 to 2019, this paper empirically investigates the following question: do the savings or investment rates have an impact on the overall trade balance of each country? If so, how? With three econometric models, it estimates impacts and variations between all European Union countries, euro countries, and non-euro countries, and evaluates results in the context in which they are measured.
ContributorsBartoszek, Nicole (Author) / Murphy, Alvin (Thesis director) / Bonadurer, Werner (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor)
Created2023-05
Description
This thesis explores the profitability of various technical trading strategies to explore their ability, generate returns in the American stock market. All strategies are based on five popular technical indicators, including the volume-weighted average price, moving average convergent-divergent index, Bollinger bands, support/resistance, and simple momentum trading. Most strategies were tested from 2019-2022 and tested for the SPY and QQQ stocks, representing the S&P 500 and NASDAQ. 3 of the 26 strategies had win rates of over 50%, but several were able to greatly outperform broader market returns. The best performing strategies were based on simple momentum trading, while the MACD and Bollinger Bands produced the worst results. Some strategies based on simple momentum trading or Bollinger bands found results greatly exceeding standard market returns in recent years, but most do not.
ContributorsEberle-Taylor, Nicholas (Author) / Boguth, Oliver (Thesis director) / Ikram, Atif (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2022-05
Description
The Solis Lofts Development Proposal thesis consisted of a full prospective development within the City of Tempe. Our team conducted a vast amount of market research to determine what sector of the market would provide the best return on investment. We organized meetings with local brokers from Cushman & Wakefield, CBRE, JLL, and Colliers International to learn more about the current market environment. Also, we organized meetings with local developers, architects, and lenders. These included Merit Partners, Sunbelt Holdings, MODUS Development, Catclar Investments, 5Visual, Butler Design Group, and Colonial Capital. Through the research we conducted we were able to successfully determine that a multifamily development within the City of Tempe would be a great way to enter the Commercial Real Estate Development field. Our project consisted of the full land acquisition process, architectural site plan review, financial analysis, and completion of the product.
ContributorsFarnsworth, Yzaac (Co-author) / Liu, Braden (Co-author) / Zwillinger, Mason (Co-author) / Butura, Alex (Co-author) / Sadusky, Brian (Thesis director) / Avrhami, Mathew (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05