Matching Items (6)

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Apple's $246 Billion War Chest

Description

We chose to analyze Apple's current cash and cash equivalents balance of $246.1 billion. To fully understand how to maximize Apple's investment using this cash balance, we performed detailed due

We chose to analyze Apple's current cash and cash equivalents balance of $246.1 billion. To fully understand how to maximize Apple's investment using this cash balance, we performed detailed due diligence on the company. We analyzed the history of apple, a timeline of their major product releases, their financial statements, product mix, and the industries in which they operate. This allowed us to gain a deeper understanding of available opportunities. After doing our due diligence on the company, we look at their current cash levels and potential reasons that the cash balance has been increasing so quickly. Another component of their cash balance is the implications of a tax holiday for repatriation, so we also looked at the potential effects of this on Apple's cash balance. Finally, we begin the main portion of our project where look at the six potential options for the cash. We cover share buybacks, dividends or a special dividend, paying down debt, investing in research and development, making a large acquisition, or continuing to build a high cash balance. We pull data on each of these, look at financial metrics and many different numbers to evaluate which of these six options would maximize shareholder value. A large portion of our work was spent looking at acquisition targets. We finally vetted three potential targets: Tesla, Netflix, and Disney. These companies made sense for a number of different qualitative reasons, but after looking at them from a financial standpoint we concluded Disney was the only company worth modeling out. A detailed financial model was built on Disney to find a purchase price. Included in this was a discounted cash flow analysis, comparable company's analysis, analyzing precedent transactions, and then finding an enterprise value based on the model. We also built an accretion dilution model to see what the effect on earnings per share is and also what the combined entity would look like. In order to present our findings, we built a pitch book. A pitch book is the standard type of presentation that investment banks use in order to show their recommendations to companies.

Contributors

Agent

Created

Date Created
  • 2017-05

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Networking Pricing Analysis

Description

The global network, serving as the backbone of the Internet and the flow of all digital information, has evolved since the birth of the internet in 1983 1. From the

The global network, serving as the backbone of the Internet and the flow of all digital information, has evolved since the birth of the internet in 1983 1. From the first generation of networks that supported the first cell phones, the system has matured to the existing fourth generation (4G), providing greater speed and expanded capabilities beyond basic calling and texting. The goal of our project was to identify how well Company X is positioned to capitalize on the transition to 5G, which will involve almost twice the amount of interconnected devices than today. To do this, we completed the following various tasks: 1. Identify the networking segments to focus our research. 2. Identify the major customers in these segments and how much of the market share each occupies. 3. Analyze the major benchmarks and metrics these customers value when purchasing the microprocessors for their networking devices. 4. Identify Company X's major competitors and their comparable products. 5. Compare the benchmark performances of Company X's offerings and its competitors 6. Create a model that provides a 5-year NPV as well as Company X's market share 7. Employ this model to evaluate various pricing strategies. 8. Determine the optimal pricing strategy and make a final recommendation. As 5G evolves, the demand for high-quality, low-power networking devices (e.g. routers, switches, access points) will increase. After performing our analyses, we will be able to decide how Company X's networking-oriented SoCs (chipset) compare to those of the other major competitors and use this relative performance to determine an appropriate ASP (average selling price) for these SoCs.

Contributors

Agent

Created

Date Created
  • 2018-05

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Company X Supplier Financial Health Model

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

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.

Contributors

Agent

Created

Date Created
  • 2016-05

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Private Equity Real Estate: Market Analysis and Underwriting for Value-Add Commercial Multifamily Investments

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

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.

Contributors

Agent

Created

Date Created
  • 2016-05

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Pledge Funds: Decisions and Analysis in Various Stages of the Deal Process

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

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.

Contributors

Agent

Created

Date Created
  • 2015-05

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Market Analysis of a Potential Discrete GPU Product Offering for the Internet of Things

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

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.

Contributors

Agent

Created

Date Created
  • 2019-05