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This paper serves as an analysis of the current operational conditions of a real-world company – referred to as “Company X” – with respect to the IC substrate industry. The cost of substrates, a crucial component in the production of Company X’s product, has recently diverged from Company X’s predictions

This paper serves as an analysis of the current operational conditions of a real-world company – referred to as “Company X” – with respect to the IC substrate industry. The cost of substrates, a crucial component in the production of Company X’s product, has recently diverged from Company X’s predictions and is contributing to declining profitability. This analysis aims to discover the underlying cause for price divergence and recommend potential resolutions to improve the forecast of substrate costs and profitability. The paper is organized as follows: Chapter 1 is an introduction to IC substrates and the industry as a whole, Chapter 2 is a breakdown of the specific factors responsible for substrate prices, and Chapter 3 delivers a final recommendation to Company X and concludes the paper.

ContributorsO'Loughlin, Connor (Author) / Fares, Ari (Co-author) / Aggarwal, Bianca (Co-author) / King, Camden (Co-author) / Guillaume, Riley (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2023-05
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Description

This thesis explores how a completely online treatment service can help lower the treatment gap through a financial lens. The thesis then analyzes how an online only model differs from traditional treatment programs with an emphasis on financial data. It includes market models and financial forecasts. The thesis also outlines

This thesis explores how a completely online treatment service can help lower the treatment gap through a financial lens. The thesis then analyzes how an online only model differs from traditional treatment programs with an emphasis on financial data. It includes market models and financial forecasts. The thesis also outlines a business model for an online only treatment center and addresses the financial and operational difficulties in starting such a venture.

ContributorsLefevre, Thomas Owen (Author) / Simonson, Mark (Thesis director) / Shafer, Michael (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
In this paper we conduct an out-of-sample test on gross profitability and investment in the same manner as Davis, Fama, and French (2000) for the pre-Compustat period (1926-1955). We hand-collect financial statement data from Moodys Industrial Manuals using the company PERMNO list first created by DFF. In total, we collect

In this paper we conduct an out-of-sample test on gross profitability and investment in the same manner as Davis, Fama, and French (2000) for the pre-Compustat period (1926-1955). We hand-collect financial statement data from Moodys Industrial Manuals using the company PERMNO list first created by DFF. In total, we collect data from 1,291 firms, largely industrial firms but with some utilities. We then run Fama-Macbeth (1973) regressions using gross profit, scaled operating profit, scaled net income, and investment along with existing variables like book-to-market, market equity, one-month reversal, and one-year momentum. We find that the premiums on gross profitability and investment are not significant for any part of our sample period. For the overall sample period as well as the first half (before the 1933 Securities Act), our accounting data is often missing or cross-sectionally inconsistent. Despite the better-quality data in the period after 1935, however, neither gross profitability not investment have significant Fama-Macbeth slopes. We believe this is caused by inconsistent and incomplete accounting data, chiefly the number of firms that combine SG&A and COGS data into one "cost" number and the inclusion of investment-like costs, like R&D, in COGS or SG&A. This causes gross profitability to not reflect direct economic profitability as closely as in prior research. However, net income has significantly positive coefficients during this period and is not subsumed by gross profitability; this contradicts prior research for the post-1962 period. More data cleaning and analysis is needed in order to form firm conclusions on the gross profitability, net income, and investment premiums during this period.
ContributorsBergauer, Stephen (Co-author) / Pashayev, Iskandar (Co-author) / Wahal, Sunil (Thesis director) / Bessembinder, Hank (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
Since 1994, the Performance Based Studies Research Group at Arizona State University has utilized an approach to industry called Best Value (BV). Since its origin, this approach has been used in 1860 tests creating $6.4 billion dollars of projects and services delivered, at a customer satisfaction rating of 95%. Best

Since 1994, the Performance Based Studies Research Group at Arizona State University has utilized an approach to industry called Best Value (BV). Since its origin, this approach has been used in 1860 tests creating $6.4 billion dollars of projects and services delivered, at a customer satisfaction rating of 95%. Best Value (BV) is rooted in simplicity, and seeks to help organizations hire experts, plan ahead, minimize risk, optimize resources, and optimize resources. This is accomplished largely through the use of a tool the PBSRG calls the Kashiwagi Solution Model (KSM). Kashiwagi Solution Models can be used across every industry from construction to Wall Street to help achieve sustainable success in what is perhaps the most efficient and effective manner available today. Using Best Value (BV) and the Kashiwagi Solution Model (KSM), the author identified groups on Wall Street and throughout the world who deal in a unique entity called "Over-The-Counter (OTC) Derivatives". More specifically, this paper focuses on the current status and ramifications of derivative contracts that two parties enter with the sole intention of speculating. KSMs are used in Information Measurement Theory, which seeks to take seemingly complex subjects and simplify them into terms that everyone can understand. This document uses Information Measurement Theory to explain what OTC derivatives are in the simplest possible way, so that little prior knowledge of finance is required to understand the material. Through research and observation, KSMs can be used to identify the characteristics of groups who deal in OTC derivatives, which contributed to the financial crisis in 2008 and have grown in size and complexity. This document uses dominant information in order to see the potential problems within the OTC derivatives market from 30,000 feet, and offer solutions to those problems. Keywords: simplicity, best value approach, identify characteristics, dominant information
ContributorsBills, Andrew Marius (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Rivera, Alfredo (Committee member) / Department of Finance (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The current state of financial inequality in America is showing multiple economic and social problems that harm the American dream and legacy. It is found that increasing inequality causes slower GDP growth, underinvestment in human capital, and disproportionate shifting of political power to the rich. Researches show that Average Americans

The current state of financial inequality in America is showing multiple economic and social problems that harm the American dream and legacy. It is found that increasing inequality causes slower GDP growth, underinvestment in human capital, and disproportionate shifting of political power to the rich. Researches show that Average Americans do not realize how severe inequality has gotten over the past few decades, but one thing is clear: What they thought as ideal distribution of wealth is nowhere close to the reality. In this thesis, I examine the current state of inequality and how it has changed since the 1980s. Then, I present reasons why inequality has been on an increasing trend and identify what economic policies lead to rising inequality. With analysis of Reaganomics (trickle-down economics), I make an argument that reducing taxes on the rich might provide a short-term boost in the national economy, but such policy soon encounters side effects and is unsustainable. Fighting inequality is an imperative step to boost the American middle class and maintain sustainable and stable economic growth. In order to relieve inequality down closer to what Americans picked as the appropriate level, I present two recommendations that can be effective in fighting inequality. One is to reform the tax policies to make it more progressive especially towards the top 5% and shift the tax burden from the bottom to the top, while implementing stricter regulations regarding tax evasion. Next is to provide disadvantaged students with better access to higher education by subsidizing public universities more and lowering FAFSA rate. Realizing one's earning potential starts with education, and higher education today is more important than any other time in the past. Once these solutions prove effective and inequality is relieved, America will be able to regain her reputation as land of opportunity and enjoy faster economic growth.
ContributorsOh, Jae Yoon (Author) / Hoffman, David (Thesis director) / Sadusky, Brian (Committee member) / Yim, Roy (Committee member) / Department of Finance (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description
We gathered and analyzed key data from a wide-range of competitors in the foundry, fabless, and Integrated design manufacturing business. After detecting a downward trend in the return of invested capital (ROIC) and higher capital intensity of Company X, we searched for alternatives to turn this around. We conclude that,

We gathered and analyzed key data from a wide-range of competitors in the foundry, fabless, and Integrated design manufacturing business. After detecting a downward trend in the return of invested capital (ROIC) and higher capital intensity of Company X, we searched for alternatives to turn this around. We conclude that, to decrease the net PPE of Company X, a sale-leaseback transaction would help Company X reduce their balance sheet and provided financing to advance their manufacturing capabilities.
ContributorsBhat, Arjun Khandige (Co-author) / Brock, Ethan (Co-author) / Gamperl, Max (Co-author) / Gupta, Viraj (Co-author) / Macha, Sanketh (Co-author) / Simonson, Mark (Thesis director) / Duran, Juan Carlos (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This project examines entry-level processors Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and sensitivity

This project examines entry-level processors Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and sensitivity analysis, we analyzed potential paths that Company X could take. Continuing to be mindful of the limitations that certain projected paths would entail. Through our analysis, we were able to form a comprehensive suggestion that had a positive 8-year NPV and improved gross margin percentage.
ContributorsHuseinovic, Ayla (Author) / Jones, Ciara (Co-author) / Mathias, Chase (Co-author) / Kuo, Ian (Co-author) / Simonson, Mark (Thesis director) / Hertz, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2024-05
DescriptionBuck-It is a budgeting application designed to meet the unique needs of college students. As financial literacy is crucial for developing good long-term financial habits, Buck-It aims to promote budgeting among college students through an appealing user interface, robust customization, and effective categorization.
ContributorsDavitt, Ryan (Author) / Doyle, Michael (Co-author) / Walle, Andrew (Co-author) / Vemuri, Rajeev (Co-author) / Baptista, Asher (Co-author) / Byrne, Jared (Thesis director) / Lee, Peggy (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Finance (Contributor)
Created2024-05
DescriptionBuck-It is a budgeting application designed to meet the unique needs of college students. As financial literacy is crucial for developing positive long-term financial habits, Buck-It aims to promote budgeting among college students through an appealing user interface, robust customization, and effective categorization.
ContributorsWalle, Andrew (Author) / Doyle, Michael (Co-author) / Davitt, Ryan (Co-author) / Vemuri , Rajeev (Co-author) / Baptista, Asher (Co-author) / Byrne, Jared (Thesis director) / Lee, Peggy (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our

The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our thesis aims to analyze market dynamics between CPUs and GPUs-whether they present distinct markets or compete against each other. We seek to guide Company X in maximizing profitability and sustaining its pivotal role in the semiconductor industry amidst the AI revolution. Specifically, we discuss optimizing their GPU offering, Falcon Shores, towards specific markets and doubling down on the production of CPUs.
ContributorsLivesay, Thomas (Author) / Kujawa, Brennan (Co-author) / Ulreich-Power, Cameron (Co-author) / Mostaghimi, Dunya (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05