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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.
ContributorsLiu, Braden John (Co-author) / Butura, Alexander (Co-author) / Zwillinger, Mason (Co-author) / Farnsworth, Yzaac (Co-author) / Sadusky, Brian (Thesis director) / Avrhami, Matthew (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The intent of this paper is inform and educate people on micro-investing, so they can better understand this new and growing category of investing. Given that micro-investing is a relatively new phenomenon, people naturally have many questions about it. What is micro-investing, and what makes it different from traditional investing? What are the origins of this growing segment of financial technology? What features and characteristics do micro-investing platforms have in common and what differentiates them from each other? Is micro-investing viable and cost effective, and if so, is it right for you? What is the future of micro-investing, and is it here to stay? This paper seeks to answer these questions and additional questions that the reader may have.
Contributorsde la Vara, Nicholas (Author) / Budolfson, Arthur (Thesis director) / Hoffman, David (Committee member) / Department of Finance (Contributor, Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Every year, major companies buy Super Bowl advertisements (‘ads’) to fuel growth through the creation of brand awareness among a large, diverse audience. Although measuring the effectiveness of these marketing tactics is difficult, evaluating the abnormal returns (‘alpha’) of company stocks in the five days following the Super Bowl is effective because it provides insight into how actual returns compare to expected returns (calculated using data from the preceding 250 days). Analysis of a comprehensive sample, which includes all Super Bowl ads for public companies between the years 2015 and 2019, accurately demonstrates the relationship between these returns, illustrating the effectiveness of this type of marketing. To account for variation resulting from different inputs in different financial models, it is important to evaluate alpha based on several, reputable models of expected return to best capture the result. In this study, alpha will be analyzed using the Capital Asset Pricing Model (‘CAPM’) and the Fama and French 3 and 5 factor models. Although the ideology that increased marketing improves stock returns through brand awareness suggests a positive alpha, these models all indicate a statistically significant negative alpha for large, public companies who bought Super Bowl ads over the past five years. Therefore, actual returns, on average, are lower than projected returns for the evaluated five-day window following the Super Bowl. In examining alpha and statistical significance according to these financial models, this thesis will explore different market factors that may explain this counterintuitive result, primarily focusing on the investors’ opinions about this type of marketing. Therefore, in researching various discrepancies contributing to the negative alpha result, this study will accurately assess the effectiveness of Super Bowl advertising in terms of stock performance.
ContributorsWynne, Shannon Elizabeth (Author) / Budolfson, Arthur (Thesis director) / Smith, Geoffrey (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
Opening a business is often an exciting time in one’s life, as they take their business idea into the marketplace. But, most individuals fail to adequately address whether their business can actually succeed before entering the marketplace. The thesis, Creating a Successful Gluten-Free Bakery: A Financial Model and Analysis analyzes whether or not a gluten-free bakery is a viable business to open in today’s marketplace. By costing the main financial variables, creating a financial model of a gluten-free bakery, and running scenario analysis, I was able to find whether or not opening a gluten-free bakery was a viable business in today’s marketplace.
ContributorsDantonio, Adam (Author) / Simonson, Mark (Thesis director) / Arthur, Budolfson (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
Regulations in the financial sector of the United States have had the same purpose of protecting the economy and consumers since their modern establishment. Deregulation in the 1980’s led to an environment that allowed banks to take on high risk choices. This, among other economic circumstances, lead to the 2008 Great Recession that brought down the United States and global economies. The government was forced to act with bailouts to keep many big banks from shutting down. Some were bailed out and others failed to keep the economy stable. In June 2009, the recession was over, but the recovery process was not. To help prevent another crash, the Dodd Frank Act was passed in July 2010. The act is a long and complex legislation with the main purpose of enforcing regulations to keep banks in check to prevent another recession. The Act’s enforcement was felt immediately, forcing businesses to adapt to its regulation standards. Opinions on Dodd-Frank are mixed. Some see it serving its purpose with regulating the financial sector and others see it being a costly burden that has slowed the progress of the economy. As the economy continues to evolve, we can expect changes to the regulations on the financial sector which will continue to cause businesses to adapt, change, and modify their operations.
ContributorsCastro, Jonathan Patrick (Author) / Jordan, Erin (Thesis director) / Sadusky, Brian (Committee member) / Department of Finance (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This thesis discusses the case for Company X to improve its vast supply chain by implementing an artificial intelligence solution in the management of its spare parts inventory for manufacturing-related machinery. Currently, the company utilizes an inventory management system, based on previously set minimum and maximum thresholds, that doesn’t use predictive analytics to stock required spares inventory. This results in unnecessary costs and redundancies within the supply chain resulting in the stockout of spare parts required to repair machinery. Our research aimed to quantify the cost of these stockouts, and ultimately propose a solution to mitigate them. Through discussion with Company X, our findings led us to recommend the use of Artificial Intelligence (A.I.) within the inventory management system to better predict when stockouts would occur. As a result of data availability, our analysis began on a smaller scale, considering only a single manufacturing site at Company X. Later, our findings were extrapolated across all manufacturing sites. The analysis includes the cost of stockouts, the capital that would be saved with A.I. implementation, costs to implement this new A.I. software, and the final net present value (NPV) that Company X could expect in 10 years and 25 years. The NPV calculations explored two scenarios, an external partnership and the purchase of a small private company, that lead to our final recommendations regarding the implementation of an A.I. software solution in Company X’s spares inventory management system. Following the analysis, a qualitative discussion of the potential risks and market opportunities associated with the explored implementation scenarios further guided the determination of our final recommendations.
ContributorsHolohan, Joseph Michael Houston (Co-author) / Shahriari, Rosie (Co-author) / Aun, Jose (Co-author) / Heineke, Christopher (Co-author) / Gurrola, Macario (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Elon Musk is known for making controversial tweets, which often lead to lawsuits. Our thesis focuses on analyzing the effect that these individual tweets have on stock prices. Our hypothesis focuses on the idea that when Elon Musk makes a controversial tweet, the volatility of Tesla stock will increase, while the price of Tesla stock will on average decrease. The thirteen tweets that we are examining are the tweets that we deemed to be most important, which are measured by the amount of press coverage that they have received. We also evaluated the effect that two different lawsuits that stemmed from Musk’s reckless tweets had on Tesla stock. After evaluating the effect that Elon Musk’s tweets had on the stock volume and price, we will then determine whether or not Elon Musk and other CEO’s alike should be able to tweet in a similar manner. In order to analyze stock movement, volume, and significance we imported statistical data from Yahoo Finance and Nasdaq into Excel. From there, We added charts to model the volatility and the direction of price data. Additionally, we created separate indexes to compare stock moves and test for abnormal returns. From these returns we were able to calculate the alpha and beta for Tesla, its peers and competitors. To analyze Musk’s tweets, we collected close to 7,000 tweets and ordered them chronologically in Excel. With the combination of the stock and tweet data, we were in an excellent spot to analyze the data and come to a conclusion.
ContributorsDe Roo, Gilles (Co-author) / Lueck, Elliott (Co-author) / Budolfson, Arthur (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Our project examines The Blackstone Group’s $6.1 billion leveraged buyout of TeamHealth in 2016 in detail, as well as the broader implications of the transaction on the healthcare industry. The transaction was preceded by Blackstone’s initial acquisition of the company in 2005, followed by the company’s subsequent IPO in 2009. Our project first covers the history of the target company and profiles key subsidiaries, with an emphasis on the 2015 $1.6B acquisition of IPC by TeamHealth. We then detail the sources and uses of the transaction and explore Blackstone’s stated transaction rationale. We construct a base case financial model that explores Blackstone’s potential projected internal rate of return based on organic growth and potential synergies with IPC alone and without any further tuck-in acquisitions, as well as an acquisition case model that incorporates several future tuck-in acquisitions. Both cases include a detailed buildout of revenue projections, key income statement and balance sheet drivers (including an analysis of changes in healthcare economics and their impact on our revenue build), and forward-looking assumptions on various items including capital expenditures for the target company. Discounted cash flow analysis and leveraged buyout analysis outputs are detailed and discussed for both the base case and acquisition case. We examine the risks and mitigants associated with the transaction and how they may exacerbate issues in a downside case, namely leverage and public markets-related risks that may affect Blackstone’s strategy. Lastly, we investigate the impact the transaction may have on the broader industry from the patient, payor, and physician perspective.
ContributorsBamford, Maxwell Blake (Co-author) / Jha, Neil (Co-author) / Doughty, Alexander (Co-author) / Leibovit-Reiben, Zachary (Co-author) / Mindlin, Jeff (Thesis director) / Stein, Luke (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
With the rise in education costs and student debt, financial literacy and knowledge has never been more important. Sadly, the current reality is that financial literacy is not a staple in the curriculum for most of the American education system. Budgeting, saving, building credit and many other financial skills are key parts of your life right after college and very few students come out of school with a solid understanding of them. The goal of this paper is to introduce a few key elements of personal finance for those students and recent graduates who have little to no exposure to them. The topics I chose to discuss are budgeting, student loans, investing, and retirement. The numbers and salary figures are from Arizona State Career services to set up scenarios that many ASU graduates will face right out of school. More specifically the budgeting section is set up to mimic what income level, rent expense, and student loan payments graduating Sun Devils can expect to see right out of school. It was also important for me to introduce topics for long term planning like investing and retirement. Setting goals and preparing for the future, no matter how far down the road it seems, are fundamental for establishing a healthy financial foundation. Building a healthy financial foundation takes time, patience and understanding but it is a possibility for everyone. Establishing a very basic knowledge of these topics can help students immensely and utilizing this guide, along with other outside resources, students and graduates will be able to start their journey toward a more secure financial future.
ContributorsOliver, Corbett William (Author) / Brian, Sadusky (Thesis director) / Hoffman, David (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Over 50% of the US population has listened to a podcast as of 2019. That is over 144 million people in the US alone that can potentially generate revenue for a podcast host. In 2017, podcast advertising secured revenues of $314 million. It is expected to grow to $659 million by 2020 (Goldberg). There is a growing market of active podcast listeners for advertisers to tap into. There is so much potential in podcasting that Spotify has recently decided that they are willing to spend $400-500 million on this category alone in 2019. In that large figure they have acquired “Gimlet”, a podcasting company, for 230 million and “Anchor”, a creation/distribution platform (Heater).
These massive amounts of investment in podcasting is assuring for the podcast industry that began as recently as the early 2000’s. There is money to be made for the content creators of podcasts as well. This paper focuses on how podcast hosts can generate the most amount of money. The two forms of producing income is by paid advertisements or donations/crowdfunding. I conducted an experiment using my own podcast to test whether paid advertisements or donations were more effective at making money. My hypothesis for this experiment is if I offer a free podcast for the public to listen to and ask for donations then I think less than 10% of listeners will donate. I believe that paid advertisements will generate more revenue than donations because I believe podcast listeners are not generous enough to donate. My research on how to make the most money podcasting is illustrated in the following pages.
These massive amounts of investment in podcasting is assuring for the podcast industry that began as recently as the early 2000’s. There is money to be made for the content creators of podcasts as well. This paper focuses on how podcast hosts can generate the most amount of money. The two forms of producing income is by paid advertisements or donations/crowdfunding. I conducted an experiment using my own podcast to test whether paid advertisements or donations were more effective at making money. My hypothesis for this experiment is if I offer a free podcast for the public to listen to and ask for donations then I think less than 10% of listeners will donate. I believe that paid advertisements will generate more revenue than donations because I believe podcast listeners are not generous enough to donate. My research on how to make the most money podcasting is illustrated in the following pages.
ContributorsMaldonado, Marcus (Author) / Radway, Debra (Thesis director) / Bonfigilo, Thomas (Committee member) / Department of Finance (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05