Matching Items (20)
Filtering by
- All Subjects: Internet of Things
- All Subjects: Financial Modeling
- Creators: Simonson, Mark
- Member of: Theses and Dissertations
Description
This thesis examines the value creation potential of renovating an existing commercial real estate asset to a medical office. It begins by examining commercial real estate and the medical sector at a high level. It then discusses the various criteria used to select a subject property for renovation. This renovation is then depicted through a modified pitch book that contains a financial model and pro forma.
ContributorsPeters, Matthew Scott (Co-author) / Larrea, Justin (Co-author) / Berger, Nicholas (Co-author) / Simonson, Mark (Thesis director) / Gray, William (Committee member) / Department of Finance (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This thesis examines the value creation potential of renovating an existing commercial real estate asset to a medical office. It begins by examining commercial real estate and the medical sector at a high level. It then discusses the various criteria used to select a subject property for renovation. This renovation is then depicted through a modified pitch book that contains a financial model and pro forma.
ContributorsLarrea, Justin (Co-author) / Berger, Nicholas (Co-author) / Peters, Matthew (Co-author) / Simonson, Mark (Thesis director) / Gray, William (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This thesis examines the value creation potential of renovating an existing commercial real estate asset to a medical office. It begins by examining commercial real estate and the medical sector at a high level. It then discusses the various criteria used to select a subject property for renovation. This renovation is then depicted through a modified pitch book that contains a financial model and pro forma.
ContributorsBerger, Nicholas James (Co-author) / Larrea, Justin (Co-author) / Peters, Matthew (Co-author) / Simonson, Mark (Thesis director) / Gray, William (Committee member) / School of Accountancy (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The purpose of this thesis was to design a market entrance strategy for Company X to enter the microcontroller (MCU) market within the Internet of Things (IoT). The five IoT segments are automotive; medical; retail; industrial; and military, aerospace, and government. To reach a final decision, we will research the markets, analyze make versus buy scenarios, and deliver a financial analysis on the chosen strategy. Based on the potential financial benefits and compatibility with Company X's current business model, we recommend that Company X enter the automotive segment through mergers & acquisitions (M&A). After analyzing the supply chain structure of the automotive IoT, we advise Company X to acquire Freescale Semiconductor for $46.98 per share.
ContributorsBradley, Rachel (Co-author) / Fankhauser, Elisa (Co-author) / McCoach, Robert (Co-author) / Zheng, Weilin (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of International Letters and Cultures (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
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
There is a growing demand for discrete graphics processing units (dGPU) in the internet of things. Our subject company, Company X, has decided to develop a dGPU to be used in client computing (desktops, laptops, etc). This project will address whether or not company X should invest time and money into adopting their existing client focused dGPU for applications in IoT such as digital signage, gaming, or medical imaging. If this investment is to be made, we will also make specific recommendations about how Company X should enter the IoT space. The project will be completed in 3 stages. The first stage will consist of an analysis of the competitive landscape and research on dGPUs and how they differ from integrated GPUs. Stage two will focus primarily on the IoT space and how the competitors are using dGPUs in the IoT along with an analysis of three potential use cases for Company X’s dGPU. Finally, we will build a comprehensive financial model based on our research of one specific IoT segment where Company X could potentially enter. Based on these stages, we will then offer a conclusion and recommendation on whether Company X should invest in this project.
ContributorsNickel, Jack Peter (Co-author) / Bergauer, Kevin (Co-author) / Morey, Jake (Co-author) / Nickel, Jack (Co-author) / Sethia, Priyanka (Co-author) / Smith, Jesse (Co-author) / Simonson, Mark (Thesis director) / Kreutner, Caleb (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The purpose and goal of this project is to pinpoint a potential use case for Company X to invest in to sell their 5G modems. As 5G technology is growing to be a dominant force in global markets, Company X is looking to capitalize on the emerging technology by selling their 5G modems for Internet of Things applications. Research and gathering of information involved understanding cellular connectivity, modem operations and applications, companies in related industries, the history of the wireless spectrum, the pillars of 5G technology, and the plethora of use cases enabled by 5G. Looking at smart street lights as a potential use case for Company X, analyses were conducted to recommend whether Company X should invest in smart street lights. These analyses ranged from researching Company X’s competitors to performing a pro forma financial analysis to see if it is financially viable for Company X to enter the smart street light industry. The final recommendation is for Company X to not invest in smart street lighting.
ContributorsPannala, Ishan R (Co-author) / Alcaron, Sandra (Co-author) / Nilles, Robert (Co-author) / Wells, Dwight (Co-author) / Simonson, Mark (Thesis director) / Reber, Kevin (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
There is a growing demand for discrete graphics processing units (dGPU) in the internet of things. Our subject company, Company X, has decided to develop a dGPU to be used in client computing (desktops, laptops, etc). This project will address whether or not company X should invest time and money into adopting their existing client focused dGPU for applications in IoT such as digital signage, gaming, or medical imaging. If this investment is to be made, we will also make specific recommendations about how Company X should enter the IoT space. The project will be completed in three stages. The first stage will consist of an analysis of the competitive landscape and research on dGPUs and how they differ from integrated GPUs. Stage two will focus primarily on the IoT space and how the competitors are using dGPUs in the IoT along with an analysis of three potential use cases for Company X’s dGPU. Finally, we will build a comprehensive financial model based on our research of one specific IoT segment where Company X could potentially enter. Based on these stages, we will then offer a conclusion and recommendation on whether Company X should invest in this project.
ContributorsSmith, Jesse Thomas (Co-author) / Nickel, Jack (Co-author) / Sethia, Priyanka (Co-author) / Morey, Jake (Co-author) / Bergauer, Kevin (Co-author) / Simonson, Mark (Thesis director) / Kreutner, Caleb (Committee member) / School of Sustainability (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The basis of this project was to analyze the potential cost savings derived from the implementation of an ultrasonic flaw detector for gas pipes in factories. The group began by researching the market of the Industrial Internet of Things. IIoT is a very attractive market for investment, as connected technologies are become both more advanced and more affordable. Factory automation also saves costs of human capital, maintenance, and bad product cost as well as safety. After doing this preliminary research, the group continued by identifying potential solutions to current shortcomings of the manufacturing status quo. After narrowing down the options, the ultrasonic flaw detector appeared to have the highest potential for success in Company X's factories. The group began doing research on what physical components would go into this solution. They found pricing for all of the various parts of such a device as well as estimated labor, maintenance, and implementation costs. After estimating these costs, the team began the construction of a detailed financial model to generate the hypothetical net present value of such a tool. After presenting two times to a panel of Company X employees, the group decided to focus only on cost savings for Company X, and not the potential revenues of selling the whole solution. They ran a sensitivity analysis on all of the factors that contributed to the NPV of the project, and discovered that the estimated percentage of scrapped product resulting from gas leaks and the percentage of gas lost to leaks contributed the most to the NPV.
ContributorsFlick, Jacob (Co-author) / Alam, Mustafa (Co-author) / Nguyen, Mong (Co-author) / Zhang, Zihan (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / WPC Graduate Programs (Contributor) / School of International Letters and Culture (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Company X is one of the world's largest manufacturer of semiconductors. The company relies on various suppliers in the U.S. and around the globe for its manufacturing process. The financial health of these suppliers is vital to the continuation of Company X's business without any material interruption. Therefore, it is in Company X's interest to monitor its supplier's financial performance. Company X has a supplier financial health model currently in use. Having been developed prior to watershed events like the Great Recession, the current model may not reflect the significant changes in the economic environment due to these events. Company X wants to know if there is a more accurate model for evaluating supplier health that better indicates business risk. The scope of this project will be limited to a sample of 24 suppliers representative of Company X's supplier base that are public companies. While Company X's suppliers consist of both private and public companies, the used of exclusively public companies ensures that we will have sufficient and appropriate data for the necessary analysis. The goal of this project is to discover if there is a more accurate model for evaluating the financial health of publicly traded suppliers that better indicates business risk. Analyzing this problem will require a comprehensive understanding of various financial health models available and their components. The team will study best practice and academia. This comprehension will allow us to customize a model by incorporating metrics that allows greater accuracy in evaluating supplier financial health in accordance with Company X's values.
ContributorsLi, Tong (Co-author) / Gonzalez, Alexandra (Co-author) / Park, Zoon Beom (Co-author) / Vogelsang, Meridith (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05