Matching Items (14)
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- All Subjects: Technology
- All Subjects: Private Equity
- Creators: School of Accountancy
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
Description
The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the internet. As the server CPU industry expands and transitions to cloud computing, Company A's Data Center Group will need to expand their server CPU chip product mix to meet new demands of the cloud industry and to maintain high market share. Company A boasts leading performance with their x86 server chips and 95% market segment share. The cloud industry is dominated by seven companies Company A calls "The Super 7." These seven companies include: Amazon, Google, Microsoft, Facebook, Alibaba, Tencent, and Baidu. In the long run, the growing market share of the Super 7 could give them substantial buying power over Company A, which could lead to discounts and margin compression for Company A's main growth engine. Additionally, in the long-run, the substantial growth of the Super 7 could fuel the development of their own design teams and work towards making their own server chips internally, which would be detrimental to Company A's data center revenue. We first researched the server industry and key terminology relevant to our project. We narrowed our scope by focusing most on the cloud computing aspect of the server industry. We then researched what Company A has already been doing in the context of cloud computing and what they are currently doing to address the problem. Next, using our market analysis, we identified key areas we think Company A's data center group should focus on. Using the information available to us, we developed our strategies and recommendations that we think will help Company A's Data Center Group position themselves well in an extremely fast growing cloud computing industry.
ContributorsJurgenson, Alex (Co-author) / Nguyen, Duy (Co-author) / Kolder, Sean (Co-author) / Wang, Chenxi (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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
Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. Multiple sclerosis is a neurological disease that attacks the nerves in the central nervous system of the brain and spinal cord. The severity of multiple sclerosis varies based on the each person and the progression of the disease. There are roughly 2.5 million people that suffer from this disease that life is changed dramatically from being diagnosed with no main way to ease into adjusting to a new lifestyle. The increase of people that are diagnosed with multiple sclerosis, and with a majority of those people being diagnosed in their early 20’s, there is a need for an application that will help patients manage their health. Multiple sclerosis leads to a lifestyle change, which includes various treatment options as well as routine doctor appointments. The creation of the myMS Specialist application will allow patients with multiple sclerosis to live a more comfortable lifestyle while they easily track and manage their health through their mobile devices. Our application has seven components that all play an important role in adjusting to the new everyday lifestyle for a patient with multiple sclerosis. All seven components are largely intertwined with each other to help patients realize patterns in their diet, sleep, exercise and the weather that causes their symptoms to worsen. Our application not only connects to a patient’s doctor so that there is full access of information at all time to the doctor but provides beneficial research to help further the understanding of multiple sclerosis. This application will be marketed and available for purchase to not only patients but doctors. It is our goal to lessen the burden of a new lifestyle to a patient, create constant communication with one’s doctor and provide beneficial data to researchers.
ContributorsSaenz, Devon (Co-author) / Peterson, Tyler (Co-author) / Chomina-Chavez, Aram (Thesis director) / Staats, Cody (Committee member) / W. P. Carey School of Business (Contributor) / Herberger Institute for Design and the Arts (Contributor) / School of Accountancy (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key issue for Company X is how to commercialize RealSense's depth recognition capabilities. This thesis addresses the problem by examining which markets to address and how to monetize this technology. The first part of the analysis identified potential markets for RealSense. This was achieved by evaluating current markets that could benefit from the camera's gesture recognition, 3D scanning, and depth sensing abilities. After identifying seven industries where RealSense could add value, a model of the available, addressable, and obtainable market sizes was developed for each segment. Key competitors and market dynamics were used to estimate the portion of the market that Company X could capture. These models provided a forecast of the discounted gross profits that could be earned over the next five years. These forecasted gross profits, combined with an examination of the competitive landscape and synergistic opportunities, resulted in the selection of the three segments thought to be most profitable to Company X. These segments are smart home, consumer drones, and automotive. The final part of the analysis investigated entrance strategies. Company X's competitive advantages in each space were found by examining the competition, both for the RealSense camera in general and other technologies specific to each industry. Finally, ideas about ways to monetize RealSense were developed by exploring various revenue models and channels.
ContributorsDunn, Nicole (Co-author) / Boudreau, Thomas (Co-author) / Kinzy, Chris (Co-author) / Radigan, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / WPC Graduate Programs (Contributor) / Department of Psychology (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Science (Contributor) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis details our experience assisting BASE Equity Partners, a private equity firm based in New York City, on three prospective agricultural dealership deals over the course of this past academic year. The firm is currently structured as a Fundless Sponsor. This distinct structural trait is common for a type of private equity firm known among practitioners as pledge funds. This creates an interesting element for our experience as there is very limited academic research on these types of firms, which, since the Great Recession, have become popular players in middle-market private equity deals. We, first, provide some historical context on pledge funds and identify their primary differences with traditional private equity. The remainder of the paper documents our experience working on the agricultural dealership deals. We have organized this portion after the manner in which we received assignments. We go into detail on the specific projects with which we were tasked, our interactions with the partners and the major takeaways we had from this learning experience. This thesis paper will enrich the academic knowledge regarding pledge funds—and private equity generally—by documenting a real experience of what it is like performing analyst-level tasks at a real firm. Additionally, we were privy to information that is highly confidential, and though we have protected the confidentiality of the companies through pseudonyms and redaction of confidential material, all of the financial data shown, models provided and qualitative discussion is real.
ContributorsTang, Ivan (Co-author) / Johnson, Bradley (Co-author) / Panosian, Tro (Co-author) / Simonson, Mark (Thesis director) / Bonadurer, Werner (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of English (Contributor) / School of Accountancy (Contributor) / School of International Letters and Cultures (Contributor)
Created2015-05
Description
Executive compensation is broken into two parts: one fixed and one variable. The fixed component of executive compensation is the annual salary and the variable components are performance-based incentives. Clawback provisions of executive compensation are designed to require executives to return performance-based, variable compensation that was erroneously awarded in the year of a misstatement. This research shows the need for the use of a new clawback provision that combines aspects of the two currently in regulation. In our current federal regulation, there are two clawback provisions in play: Section 304 of Sarbanes-Oxley and section 954 of The Dodd\u2014Frank Wall Street Reform and Consumer Protection Act. This paper argues for the use of an optimal clawback provision that combines aspects of both the current SOX provision and the Dodd-Frank provision, by integrating the principles of loss aversion and narcissism. These two factors are important to consider when designing a clawback provision, as it is generally accepted that average individuals are loss averse and executives are becoming increasingly narcissistic. Therefore, when attempting to mitigate the risk of a leader keeping erroneously awarded executive compensation, the decision making factors of narcissism and loss aversion must be taken into account. Additionally, this paper predicts how compensation structures will shift post-implementation. Through a survey analyzing the level of both loss- aversion and narcissism in respondents, the research question justifies the principle that people are loss averse and that a subset of the population show narcissistic tendencies. Both loss aversion and narcissism drove the results to suggest there are benefits to both clawback provisions and that a new provision that combines elements of both is most beneficial in mitigating the risk of executives receiving erroneously awarded compensation. I concluded the most optimal clawback provision is mandatory for all public companies (Dodd-Frank), targets all executives (Dodd-Frank), and requires the recuperation of the entire bonus, not just that which was in excess of what should have been received (SOX).
ContributorsLarscheid, Elizabeth (Author) / Samuelson, Melissa (Thesis director) / Casas-Arce, Pablo (Committee member) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
This paper classifies private equity groups (PEGs) seeking to engage in public to private transactions (PTPs) and determines (primarily through an examination of the implied merger arbitrage spread), whether certain reputational factors associated with the private equity industry affect a firm's ability to acquire a publicly-traded company. We use a sample of 1,027 US-based take private transactions announced between January 5, 2009 and August 2, 2018, where 333 transactions consist of private-equity led take-privates, to investigate how merger arbitrage spreads, offer premiums, and deal closure are impacted based on PEG- and PTP-specific input variables. We find that the merger arbitrage spread of PEG-backed deals are 2-3% wider than strategic deals, hostile deals have a greater merger arbitrage spread, larger bid premiums widen spreads and markets accurately identify deals that will close through a narrower spread. PEG deals offer lower premiums, as well as friendly deals and larger deals. Offer premiums are 8.2% larger among deals that eventually consummate. In a logistic regression, we identified that PEG deals are less likely to close than strategic deals, however friendly deals are much more likely to close and Mega Funds are more likely to consummate deals among their PEG peers. These findings support previous research on PTP deals. The insignificance of PEG-classified variables on arbitrage spreads and premiums suggest that investors do not differentiate PEG-backed deals by PEG due to most PEGs equal ability to raise competitive financing. However, Mega Funds are more likely to close deals, and thus, we identify that merger arbitrage spreads should be narrower among this PEG classification.
ContributorsSliwicki, Austin James (Co-author) / Schifman, Eli (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Economics (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The direction of artificial intelligence is one of the most important and popular topics of technological development. Both experts and the average person agree AI will continue to play a massive role in virtually all industries. Despite this shared belief, AI has continued to progress at a limited rate, limited by conventional schools of thought and mathematical approaches. In order for truly intelligent technology to exist, one must succeed in modeling the human brain as a system, not its functionalities. Conventional AI attempts to account for all the variables and permutations of a given situation rather than creating a closed system that can implicitly utilize data to form completely unique conclusions without human intervention. By bridging the gap between mathematics, biology, and neurology, Igni will become the world's first hyper intelligent artificial intelligence system. In order to understand Igni, one must first understand the progression of conventional AI and its limitations. Then they can understanding the major components of Igni and how this technology overcomes conventional limitations in its journey to revolutionize most industries.
ContributorsYu, Vince Winghang (Co-author) / Patel, Ishan (Co-author) / Dawson, Gregory (Thesis director) / Garverick, Michael (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
Technology is everywhere. It touches every industry and nearly every aspect of our lives. It is paving the way to exciting innovations, solving long-standing problems, and helping us as humans learn at a faster rate than ever before. The Tech Industry is booming, generating an ever-increasing amount of jobs within the workforce. The number of women filling these new jobs, however, has remained static – if not declined. As a female student studying Computer Information Systems, this fact has concerned me for some time and propelled me to dig deeper and get to the root of the problem. It has been no secret that there is a lack of gender equality within the technology industry. Silicon Valley – the tech hub of the United States – has time and again been accused of creating an overwhelming sense of “bro culture”. The numbers are staggeringly obvious – women are entering into the industry at a lower rate than men, women are leaving the industry at a higher rate than men, and women are not being advanced within technology-based careers at the same rate as men. My objective with this creative project was to go beyond the numbers and to understand why this gender gap is still prevalent within the industry and, more importantly, what can be done to shrink the gap. As such, I decided to put faces to the numbers by creating a documentary in which I interviewed eight diverse female professionals with varying backgrounds that are in different stages within their careers in the technology industry. I was able to get real and raw opinions, ideas, and advice from these knowledgeable women to construct my responses to these complex issues. This paper has been structured to outline and analyze the ideas and concepts generated from my interviews of these women.
ContributorsFarias, Isabella Maria (Author) / Moser, Kathleen (Thesis director) / Scott, Kimberly (Committee member) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Leveraged buyouts have gone in and out of popularity over the last four decades. The first wave began in the 1980's with the rising popularity of junk bonds, followed by years of economic downturn, and then a rise and respective fall from the dot com era. However, in the 2000's, attitudes were high and a period of low interest rates, covenant-lite loans, and relaxed lending conditions gave rise to some of the largest leveraged buyouts in US history. As the name implies, leveraged buyouts are predominantly structured with debt, around 70% of the total transaction value. Private equity firms execute leveraged buyouts on companies in strong industries, who have proven, stable cash flows, with the intent of cutting costs, divesting unneeded assets, and making the chain more efficient. After a time period of five to seven years, the private equity firm exits the deal through an initial public offering of the target company, a sale to another buyer, or dividend recapitalization. The Blackstone Group is one of the largest private equity firms in the US, and, with the favorable leveraged buyout conditions, especially in the real estate market, it wanted to build its real estate portfolio with an acquisition of Hilton Hotels & Resorts. At the time of consideration, Hilton was one of the largest hotel companies in the world, but was beginning to lag compared to its competitors Marriott and Starwood. After months of talks, Hilton agreed to be bought out by Blackstone at $47.50/share, for a total purchase price of $26bn. Blackstone had injected $5.7 of its own equity into the deal. The Great Recession caused a lot of investors to worry about Hilton's debt obligations, and Blackstone was able to restructure a significant portion of the debt to benefit both themselves and their creditors. As new CEO, Christopher J. Nassetta was able to strengthen Hilton by rearranging management, increasing franchising fees, expanding its capital-lite segments, and building more rooms internationally, Hilton was able to grow quicker than its competitors from 2007-2013 while minimizing operating expenses. On December 2, 2013, Hilton went public on the NYSE as HLT. Its enterprise value increased from $26bn to $33bn, and Blackstone was able to achieve an internal rate of return of 19%, while continuing to own 75% of Hilton's shares.
ContributorsNelson, Corey Mitchell (Author) / Simonson, Mark (Thesis director) / Aragon, George (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05