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Federal Reserve Interest Rate Management: Combatting Speculation of Market Volatility and Recessionary Sentiment

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Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on

Abstract: Handling the multiple functions of monetary policy that protect the U.S. economy not only on a short term, but also long-term scale is a complicated responsibility assigned to Federal Reserve, in which their actions present a profound impact on consumer confidence towards financial markets and global economies. Specifically, one of the most important goals of the Federal Reserve is to mitigate the risk of the United States to enter a recession, while maintaining a balanced approach when making those policy decisions. In this thesis, we focus on the monetary policy of the Federal Reserve, particularly, their role in controlling interest rates to prevent recessionary sentiment in the current state of the economy. Since 2008, markets have been stronger and previous policies like Dodd-Frank have ensured that market collapses during the Great Recession do not repeat itself. Yet, fluctuations in the yield curve, polarizing investment views, and unsettled consumer confidence has pointed to another recession in the near future. In this case, we will look at the way the Fed has implemented short term policies to lower this risk in order to fight volatile markets, however, fluctuating interest rates has its consequences. The goal of this thesis is to analyze the various ways the Fed has managed interest rates in the past and present, and further, to offer a framework to serve as the most effective policy to combat volatility and recessionary sentiment in the U.S. economy.

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Date Created
2020-05

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Networking Pricing Analysis

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This thesis examines the impact of price changes of select microprocessors on the market share and 5-year gross profit net present values of Company X in the networking market through a multi-step analysis. The networking market includes segments including media

This thesis examines the impact of price changes of select microprocessors on the market share and 5-year gross profit net present values of Company X in the networking market through a multi-step analysis. The networking market includes segments including media processing, cloud services, security, routers & switches, and access points. For this thesis our team focused on the routers & switches, as well as the security segments. Company X wants to capitalize on the expected growth of the networking market as it transitions to its fifth generation (henceforth referred to as 5G) by positioning itself favorably in its customers eyes through high quality products offered at competitive prices. Our team performed a quantitative analysis of benchmark data to measure the performances of Company X's products against those of its competitors. We collected this data from third party computer reviewers, as well as the published reports of Company X and its competitors. Through the use of a preference matrix, we then normalized this performance data to adjust for different scales. In order to provide a well-rounded analysis, we adjusted these normalized performances for power consumption (using thermal design power as a proxy) as well as price. We believe these adjusted performances are more valuable than raw benchmark data, as they appeal to the demands of price-sensitive customers. Based on these comparisons, our team was able to assess price changes for their market and discounted financial impact on Company X. Our findings challenge the current pricing of one of the two products being analyzed and suggests a 9% decrease in the price of said product. This recommendation most effectively positions Company X for the development of 5G by offering the best balance of market share and NPV.

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Date Created
2018-05

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Banking Regulation: An Analysis of Dodd-Frank

Description

Dodd-Frank should be celebrated for its success in stabilizing the financial sector following the last financial crisis. Some of its measures have not only contained financial disaster but contributed to economic growth. These elements of Dodd-Frank have been identified as

Dodd-Frank should be celebrated for its success in stabilizing the financial sector following the last financial crisis. Some of its measures have not only contained financial disaster but contributed to economic growth. These elements of Dodd-Frank have been identified as "clear wins" and include the increase of financial institutions' capital requirements, the single-point-of-entry approach to regulating financial firms, and the creation of the Consumer Financial Protection Bureau (CFPB). The single-point-of-entry strategy (SPOE), specifically, has done much to bring an end to the age of "too big to fail" institutions. By identifying firms that could expect to be aided in case of financial crisis, the SPOE approach reduces uncertainty among financial institutions. Moreover, SPOE eliminates the significant source of risk by establishing clear protocols for resolving failed financial firms. Dodd-Frank has also taken measures to better protect consumers with the creation of the CFPB. Some of the CFPB's stabilizing actions have included the removal of deceptive financial products, setting guidelines for qualified mortgages, and other regulatory safeguards on money transfers. Despite the CFPB's many triumphs, however, there is room for improvement, especially in the agency's ability to reduce regulatory redundancies in supervision and collaboration with other financial sector controllers. The significant strengths of Dodd-Frank are evident in its elements that have secured financial stability. However, it is important to also consider any potential to stifle healthy economic growth. There are several areas for legislative amendments and reforms in order to improve the performance of Dodd-Frank given its sweeping regulatory impact. Several governing redundancies now exist with the creation of new regulatory authorities. Special efforts to increase the authority of the Financial Sector Oversight Council (FSOC) and preserving the impartiality of the Office of Financial Research (OFR) are specific examples of reforms still needed to elevate the effectiveness of Dodd-Frank. In addition, Dodd-Frank could do more to clarify the Volcker Rule in order to ease banks' burden to comply with excessive oversight. Going forward, policymakers must be willing to adjust parts of Dodd-Frank that encroach too far on the private sector's ability to foster efficiency or development. In addition, identifying and monitoring areas of the legislation deemed "too soon to tell" will provide insight on the accuracy and benefit of some Dodd-Frank measures.

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Date Created
2018-05

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The Monetary and Non-Monetary Value of a Real Estate License

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My Honors Thesis is about answering a central question regarding the business of real estate: "What is the return on investment of obtaining a real estate license?" I focused my research on the monetary, time, and other value factors that

My Honors Thesis is about answering a central question regarding the business of real estate: "What is the return on investment of obtaining a real estate license?" I focused my research on the monetary, time, and other value factors that affect the initial cost of securing a real estate salesperson license in the State of Arizona (costs) and the amount of money a licensed salesperson makes as a result of having a salesperson license (income). Licensees make this trade-off: the cost in terms of real dollars to obtain a license, as well as the opportunity costs associated with the time to secure, start using, and begin to earn money by way of a salesperson license. To answer the central question I conducted a survey of active licensees in order to determine the value ascribed to holding a real estate salesperson license. Through my research, I concluded that there is not a single number that can be assigned to a real estate license that indicates its value, but the data collected reveals that the return on investment has the potential to be great. Upfront costs and fees necessary to obtain a license are insignificant when the commission a licensee can then make from a single transaction is enough to cover those expenses. Therefore, based on the survey results and research into the initial costs associated with obtaining a real estate license, there appears to be sufficient data to support a positive return on investment and warrant obtaining a real estate license.

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Agent

Created

Date Created
2018-05

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Monetization of Autonomous Vehicle Data

Description

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: 1. Understand if there is monetization potential in autonomous vehicle data 2. Create a financial model of what detailing the viability of AV data monetization 3. Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data.

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Agent

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Date Created
2018-05

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The Monetization of Autonomous Vehicle Data

Description

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use

Autonomous vehicles (AV) are capable of producing massive amounts of real time and precise data. This data has the ability to present new business possibilities across a vast amount of markets. These possibilities range from simple applications to unprecedented use cases. With this in mind, the three main objectives we sought to accomplish in our thesis were to: Understand if there is monetization potential in autonomous vehicle data Create a financial model of what detailing the viability of AV data monetization Discover how a particular company (Company X) can take advantage of this opportunity, and outline how that company might access this autonomous vehicle data. First, in order to brainstorm how this data could be monetized, we generated potential use cases, defined probable customers of these use cases, and how the data could generate value to customers as a means to understand what the "price" of autonomous vehicle data might be. While we came up with an extensive list of potential data monetization use cases, we evaluated our list of use cases against six criteria to narrow our focus into the following five: Government, Insurance Companies, Mapping, Marketing purposes, and Freight. Based on our research, we decided to move forward with the insurance industry as a proof of concept for autonomous vehicle data monetization. Based on our modeling, we concluded there is a significant market for autonomous vehicle data monetization moving forward. Data accessibility is a key driver in how profitable a particular company and their competitors can be in this space. In order to effectively monetize this data, it would first be important to understand the method by which a company obtains access to the data in the first place. Ultimately, based on our analysis, Company X has positioned itself well to take advantage of the new trends in autonomous vehicle technology. With more strategic investments and innovation, Company X can be a key benefactor of this unprecedented space in the near future.

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Agent

Created

Date Created
2018-05

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How to Make the Most Money Podcasting

Description

Over 50% of the US population has listened to a podcast as of 2019. That is over 144 million people in the US alone that can potentially generate revenue for a podcast host. In 2017, podcast advertising secured revenues of

Over 50% of the US population has listened to a podcast as of 2019. That is over 144 million people in the US alone that can potentially generate revenue for a podcast host. In 2017, podcast advertising secured revenues of $314 million. It is expected to grow to $659 million by 2020 (Goldberg). There is a growing market of active podcast listeners for advertisers to tap into. There is so much potential in podcasting that Spotify has recently decided that they are willing to spend $400-500 million on this category alone in 2019. In that large figure they have acquired “Gimlet”, a podcasting company, for 230 million and “Anchor”, a creation/distribution platform (Heater).
These massive amounts of investment in podcasting is assuring for the podcast industry that began as recently as the early 2000’s. There is money to be made for the content creators of podcasts as well. This paper focuses on how podcast hosts can generate the most amount of money. The two forms of producing income is by paid advertisements or donations/crowdfunding. I conducted an experiment using my own podcast to test whether paid advertisements or donations were more effective at making money. My hypothesis for this experiment is if I offer a free podcast for the public to listen to and ask for donations then I think less than 10% of listeners will donate. I believe that paid advertisements will generate more revenue than donations because I believe podcast listeners are not generous enough to donate. My research on how to make the most money podcasting is illustrated in the following pages.

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Agent

Created

Date Created
2019-05

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The Emergence of Micro-Investing Brokerage and Trading Platforms

Description

The intent of this paper is inform and educate people on micro-investing, so they can better understand this new and growing category of investing. Given that micro-investing is a relatively new phenomenon, people naturally have many questions about it. What

The intent of this paper is inform and educate people on micro-investing, so they can better understand this new and growing category of investing. Given that micro-investing is a relatively new phenomenon, people naturally have many questions about it. What is micro-investing, and what makes it different from traditional investing? What are the origins of this growing segment of financial technology? What features and characteristics do micro-investing platforms have in common and what differentiates them from each other? Is micro-investing viable and cost effective, and if so, is it right for you? What is the future of micro-investing, and is it here to stay? This paper seeks to answer these questions and additional questions that the reader may have.

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Agent

Created

Date Created
2019-05

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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 in client computing (desktops, laptops, etc). This project will address

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.

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Agent

Created

Date Created
2019-05

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Uncertainty of the Stock Market and its Effect on the U.S. Economy

Description

The purpose of this thesis is to educate the reader and share the relevant areas of the United States and its ever-so unpredictable stock and real estate market. It will further detail, how investing in stocks can be beneficial or

The purpose of this thesis is to educate the reader and share the relevant areas of the United States and its ever-so unpredictable stock and real estate market. It will further detail, how investing in stocks can be beneficial or negative to one’s financial portfolio. This article explains and dissects the areas of the U.S. market and possibly dependent economy. The foundational definition and the basics of buying, selling and trading in the stock market is a very intricate process. There are various causes and concerns about how the stock market affects the economy and vice versa, how the economy affects the financial markets. As a theoretical framework, this topic will take a deep dive into the 2008 recession and the devastating effects it had on the global economy and financial markets. Furthermore, I will explain what steps the government took, the key decisions and incentives placed to pull itself out and what strategies and laws were passed to ensure that such a drastic crash would not repeat.
The goal of this thesis is to further educate the reader about the realities of the U.S stock market. Whether that be the risks or the benefits, it is important for every young adult and those that have invested in the past, to have extensive knowledge about how our stock market. It is true that the stock market affects the overall economy, however, it can be said that the economy has a significant effect on the stock market as well. Investing in the stock market is not something that Americans are forced to learn about, and many millennials have the, “Why should I care about that?” mindset when it comes to learning about the pros and cons of the Financial markets. This trend is very alarming because when done right, investing in the stock market can truly pay dividends. A cultural shift towards learning financial nuances should be incorporated in all education and more of the next generation should be educated and given this awareness. This article will not address the newer entrants such as crypto-currency, because that is more of a fad rather than a largescale market that would affect the overall economy.
The second goal with this thesis is to explain how the stock market affects the overall economy, as it is one of many significant factors. This goal may be slightly more difficult as there are so many variables in the US economy, such as changes in the global economy. One can also argue that the stock market is a supplement of the current economy. Addressing the financial markets and behavior, this conclusion will eventually address different variables and focus on the markets and how they affect the United States economy.

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Agent

Created

Date Created
2019-05