Matching Items (25)
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- All Subjects: Finance
- Creators: School of Mathematical and Statistical Sciences
- Creators: Stein, Luke
- Member of: Theses and Dissertations
- 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
This paper explores the history of sovereign debt default in developing economies and attempts to highlight the mistakes and accomplishments toward achieving debt sustainability. In the past century, developing economies have received considerable investment due to higher returns and a degree of disregard for the risks accompanying these investments. As the former Citibank chairman, Walter Wriston articulated, "Countries don't go bust" (This Time is Different, 51). Still, unexpected negative externalities have shattered this idea as the majority of developing economies follow a cyclical pattern of default. As coined by Reinhart and Rogoff, sovereign governments that fall into this continuous cycle have become known as serial defaulters. Most developed markets have not defaulted since World War II, thus escaping this persistent trap. Still, there have been developing economies that have been able to transition out of serial defaulting. These economies are able to leverage debt to compound growth without incurring the protracted consequences of a default. Although the cases are few, we argue that developing markets such as Chile, Mexico, Russia, and Uruguay have been able to escape this vicious cycle. Thus, our research indicates that collaborative debt restructurings coupled with long term economic policies are imperative to transitioning out of debt intolerance and into a sustainable debt position. Successful economies are able to leverage debt to create strong foundational growth rather than gambling with debt in the hopes of achieving rapid catch- up growth.
ContributorsPitt, Ryan (Co-author) / Martinez, Nick (Co-author) / Choueiri, Robert (Co-author) / Goegan, Brian (Thesis director) / Silverman, Daniel (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
This paper provides evidence through an event study, portfolio simulation, and regression analysis that insider trading, when appropriately aggregated, has predictive power for abnormal risk-adjusted returns on some country and sector exchange traded funds (ETFs). I examine ETFs because of their broad scope and liquidity. ETF markets are relatively efficient and, thus, the effects I document are unlikely to appear in ETF markets. My evidence that aggregated insider trading predicts abnormal returns in some ETFs suggests that aggregated insider trading is likely to have predictive power for financial assets traded in less efficient markets. My analysis depends on specialized insider trading data covering 88 countries is generously provided by 2iQ.
ContributorsKerker, Mackenzie Alan (Author) / Coles, Jeffrey (Thesis director) / Mcauley, Daniel (Committee member) / Licon, Wendell (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor)
Created2014-05
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
A Guide to Financial Mathematics is a comprehensive and easy-to-use study guide for students studying for the one of the first actuarial exams, Exam FM. While there are many resources available to students to study for these exams, this study is free to the students and offers an approach to the material similar to that of which is presented in class at ASU. The guide is available to students and professors in the new Actuarial Science degree program offered by ASU. There are twelve chapters, including financial calculator tips, detailed notes, examples, and practice exercises. Included at the end of the guide is a list of referenced material.
ContributorsDougher, Caroline Marie (Author) / Milovanovic, Jelena (Thesis director) / Boggess, May (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
The COVID-19 pandemic has and will continue to radically shift the workplace. An increasing percentage of the workforce desires flexible working options and, as such, firms are likely to require less office space going forward. Additionally, the economic downturn caused by the pandemic provides an opportunity for companies to secure favorable rent rates on new lease agreements. This project aims to evaluate and measure Company X’s potential cost savings from terminating current leases and downsizing office space in five selected cities. Along with city-specific real estate market research and forecasts, we employ a four-stage model of Company X’s real estate negotiation process to analyze whether existing lease agreements in these cities should be renewed or terminated.
ContributorsSaker, Logan (Co-author) / Ries, Sarah (Co-author) / Hegardt, Brandon (Co-author) / Patterson, Jack (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Over the course of six months, we have worked in partnership with Arizona State University and a leading producer of semiconductor chips in the United States market (referred to as the "Company"), lending our skills in finance, statistics, model building, and external insight. We attempt to design models that help predict how much time it takes to implement a cost-saving project. These projects had previously been considered only on the merit of cost savings, but with an added dimension of time, we hope to forecast time according to a number of variables. With such a forecast, we can then apply it to an expense project prioritization model which relates time and cost savings together, compares many different projects simultaneously, and returns a series of present value calculations over different ranges of time. The goal is twofold: assist with an accurate prediction of a project's time to implementation, and provide a basis to compare different projects based on their present values, ultimately helping to reduce the Company's manufacturing costs and improve gross margins. We believe this approach, and the research found toward this goal, is most valuable for the Company. Two coaches from the Company have provided assistance and clarified our questions when necessary throughout our research. In this paper, we begin by defining the problem, setting an objective, and establishing a checklist to monitor our progress. Next, our attention shifts to the data: making observations, trimming the dataset, framing and scoping the variables to be used for the analysis portion of the paper. Before creating a hypothesis, we perform a preliminary statistical analysis of certain individual variables to enrich our variable selection process. After the hypothesis, we run multiple linear regressions with project duration as the dependent variable. After regression analysis and a test for robustness, we shift our focus to an intuitive model based on rules of thumb. We relate these models to an expense project prioritization tool developed using Microsoft Excel software. Our deliverables to the Company come in the form of (1) a rules of thumb intuitive model and (2) an expense project prioritization tool.
ContributorsAl-Assi, Hashim (Co-author) / Chiang, Robert (Co-author) / Liu, Andrew (Co-author) / Ludwick, David (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
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
The purpose of this paper is to review the effects of the Dodd-Frank Title VII Clearing Regulations on the Over-the-counter (OTC) derivatives market and to analyze if the benefits of the Title VII regulations have outweighed the costs in the OTC derivatives market by reducing systematic(market) risk and protecting market participants or if the Title VII regulations’ costs have made things worse by lessening opportunities in the OTC derivatives market and stifling economics benefits by over regulating the market. This paper strives to examine this issue by explaining how OTC are said to have played a part in the 2008 Financial crisis. Next, we give a general overview of financial securities, and what OTC are. Then we will give a general overview of what the Dodd-Frank Wall Street Reform and Consumer Protection Acts are, which are the regulations to come out of the 2008 Financial crisis. Then the paper will dive into Dodd-Frank Title VII Clearing Regulations and how they regulated OTC derivatives in the aftermath of the 2008 Financial crisis. Next, we discuss the Clearing House industry. Then the paper explores the major change of central clearing versus the previous bilateral clearing system. The paper will then cover how these rules have affected OTC derivatives market by examining the works of authors, who both support the regulations and others, who oppose the regulations by looking at logical arguments, historical evidence, and empirical evidence. Finally, we conclude that based on all the evidence how the Dodd-Frank Title VII Clearing Regulations effects on the OTC derivatives market are inconclusive at this time.
ContributorsThacker, Harshit (Co-author) / Charette, John (Co-author) / Aragon, George (Thesis director) / Stein, Luke (Committee member) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The purpose of this paper is to review the effects of the Dodd-Frank Title VII Clearing Regulations on the Over-the-counter (OTC) derivatives market and to analyze if the benefits of the Title VII regulations have outweighed the costs in the OTC derivatives market by reducing systematic(market) risk and protecting market participants or if the Title VII regulations’ costs have made things worse by lessening opportunities in the OTC derivatives market and stifling economics benefits by over regulating the market. This paper strives to examine this issue by explaining how OTC are said to have played a part in the 2008 Financial crisis. Next, we give a general overview of financial securities, and what OTC are. Then we will give a general overview of what the Dodd-Frank Wall Street Reform and Consumer Protection Acts are, which are the regulations to come out of the 2008 Financial crisis. Then the paper will dive into Dodd-Frank Title VII Clearing Regulations and how they regulated OTC derivatives in the aftermath of the 2008 Financial crisis. Next, we discuss the Clearing House industry. Then the paper explores the major change of central clearing versus the previous bilateral clearing system. The paper will then cover how these rules have affected OTC derivatives market by examining the works of authors, who both support the regulations and others, who oppose the regulations by looking at logical arguments, historical evidence, and empirical evidence. Finally, we conclude that based on all the evidence how the Dodd-Frank Title VII Clearing Regulations effects on the OTC derivatives market are inconclusive at this time.
ContributorsCharette, John (Co-author) / Thacker, Harshit (Co-author) / Aragon, George (Thesis director) / Stein, Luke (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05