Matching Items (247)
Description
This paper classifies private equity groups (PEGs) seeking to engage in public to private transactions (PTPs) and determines (primarily through an examination of the implied merger arbitrage spread), whether certain reputational factors associated with the private equity industry affect a firm's ability to acquire a publicly-traded company. We use a sample of 1,027 US-based take private transactions announced between January 5, 2009 and August 2, 2018, where 333 transactions consist of private-equity led take-privates, to investigate how merger arbitrage spreads, offer premiums, and deal closure are impacted based on PEG- and PTP-specific input variables. We find that the merger arbitrage spread of PEG-backed deals are 2-3% wider than strategic deals, hostile deals have a greater merger arbitrage spread, larger bid premiums widen spreads and markets accurately identify deals that will close through a narrower spread. PEG deals offer lower premiums, as well as friendly deals and larger deals. Offer premiums are 8.2% larger among deals that eventually consummate. In a logistic regression, we identified that PEG deals are less likely to close than strategic deals, however friendly deals are much more likely to close and Mega Funds are more likely to consummate deals among their PEG peers. These findings support previous research on PTP deals. The insignificance of PEG-classified variables on arbitrage spreads and premiums suggest that investors do not differentiate PEG-backed deals by PEG due to most PEGs equal ability to raise competitive financing. However, Mega Funds are more likely to close deals, and thus, we identify that merger arbitrage spreads should be narrower among this PEG classification.
ContributorsSliwicki, Austin James (Co-author) / Schifman, Eli (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Economics (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This paper investigates the effect of the mismatch between workers' skills and the job requirements on the aggregate output and the earnings distribution. It develops a labor market model in which workers of different skills are allocated across jobs with different skill requirements, and this allocation is distorted by various government regulations. The model is calibrated to match the features of the earnings distribution and the extent of the skill mismatch reported by The Organization for Economic Co-Operation and Development (OECD) for 2015. The model is then used to evaluate the economic outcomes of eliminating government regulations leading to skill mismatch. I find that such a change, despite an almost negligible effect on aggregate output, has quite a significant impact on the distribution of earnings. More formally, output increase by merely 0.045%, while wages allocated to routine workers increases by 1.77% and wages allocated to specialized workers reduced by 10.52%.
ContributorsHerring, Elizabeth Jan (Author) / Vereshchagina, Galina (Thesis director) / Douglas, Kacey (Committee member) / Department of Economics (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Within sixty years, the People’s Republic of China has risen from a struggling post-civil war state to the second largest economy in the world, comprising of 16.71 percent of the global economy as of 2015. While China has grown, its presence internationally has grown as well—China has utilized its capital to foment important relationships and foster soft power dynamics, making billions available in development aid and investment projects across the globe, most notably in Africa and Latin America, where Chinese goods have begun to dominate the markets there as they have in American counterparts. However, within Latin America China has been investing in countries that are traditionally seen as “risky” financial investments. This paper hypothesizes that the returns on Chinese investments in Latin America are not financial, but political—that China is investing in expansion of its soft-power and legitimizing its beginnings of global hegemony. The paper also explores the success of these initiatives by comparing the level of Chinese investment to changes in Latin American foreign policy alignment, discourse, and agreements through utilizing case studies of Venezuela and Bolivia.
ContributorsHochhaus, Natalie (Co-author) / Yan, Jaylia (Co-author) / Thomson, Henry (Thesis director) / Ripley, Charles (Committee member) / School of Politics and Global Studies (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Many fear that the growth of automation and artificial intelligence will lead to massive unemployment since human labor would no longer be needed. Although automation does displace workers from their current jobs, it is unclear the total net effect on jobs this period of advancement will have. One possible solution to help displaced workers is a Universal Basic Income. A Universal Basic Income(UBI) is a set payment paid to all members of society regardless of working status. Compared to current unemployment programs, a Universal Basic Income does not restrict participants in how to spend the money and is more inclusive. This paper examines the effects of a UBI on a person's motivation to work through a study on current college students. There is reason to believe that a Universal Basic Income will lead to fewer people working as people may become dependent on a base payment to meet their basic needs and not look for work. In addition, some people may drop out of their current jobs and rely on a UBI as their main form of income. The current literature does not offer a consensus opinion on this relationship and more studies are being completed with the threat of mass unemployment looming. This study shows the effects of a UBI on participants' willingness to work and then applies these results to the current economic model. With these results and new economic model, a decision about future policies surrounding a UBI can be made.
ContributorsAgarwal, Raghav (Author) / Pulido Hernadez, Carlos (Thesis director) / Foster, William (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper intends to analyze the National Football League (NFL) and the role stadiums play within it. The NFL, being the nation's largest professional sports league, has experienced a large amount of volatility over the past couple of decades. Teams have relocated a significant number of times and stadium projects have grown in size, cost, and frequency. Because of these observations, we chose to focus in on this particular sports league in order to answer our many questions surrounding the role of a professional sports stadium in the economics of a city. We seek to understand the economics these sports stadiums impact on the league and the cities they reside in. To do this, we compiled data of NFL franchise wins, average ticket prices, stadiums, and franchise values, while researching the stadium building process and referencing the opinions of leading sports economists across the nation. Next, we discussed the process of building a stadium, which entails the core steps of design, construction, cost, and funding. We discuss tax-exempt municipal bonds, and explain what an impact economic analysis is and how teams use them to get cities to support their projects. Moreover, we discuss the threats of relocation and how the NFL can exert pressure on stadium project decisions. Finally, we talk about the future of the NFL, with a new trend of empty stadiums and make predictions for upcoming relocation destinations. Based on these findings, we draw conclusions on the economics of sports stadiums and offer our opinion on the current state of the NFL.
ContributorsGuillen, Sergio (Co-author) / Willms, Jacob (Co-author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Research on California water markets has historically made two inaccurate assumptions regarding water rights: that water is a one-dimensional commodity, and that every water rights holder is in the market to sell. In reality, water is a bundled good that comprises varying attributes, and the decision to become a seller often has more to do with politics than price. This thesis analyzes the heterogeneous dimensions of a water right to explain the evolution of supply, demand, and price in California water markets. A dataset of 712 short-term surface water transfers in California from the period of 1990 through 2016 is analyzed to explain market trends and model the price of water. The data comes from a proprietary dataset of water transfers provided by WestWater Research, LLC (WestWater). Transfer data is distinguished based on variables such as buyer and seller experience, perennial crop plantings, seasonal timing of sale, buyer and seller region, water-year type, and end use. A variety of figures present summary statistics of the data. Ordinary Least Squares (OLS) regression is used to identify variables that are statistically significant in estimating the unit price of water in dollars per acre-foot ($/AF). The regression shows that State Water Bank (SWB) purchases, Environmental Water Account (EWA) purchases, environmental end use, North of Delta (NOD) seller location, the San Joaquin Valley Water-Year Index (San Joaquin Index), total perennial crop acreage, and purchases made by South Coast buyers were statistically significant at the 95% or 99% confidence interval. These variables were included in the final econometric model to estimate price.
ContributorsArnao, Audrey Louise (Author) / Hanemann, Michael (Thesis director) / Payne, Matthew (Committee member) / W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Since 2014, the legal marijuana industry has flourished in Colorado, the first state to ever legalize its recreational use in the United States. It is necessary to fully understand the economic impact of the implementation of the recreational system as well as the characteristics of the market for lawmakers, business owners, and voters to make educated decisions on future legislation. This report will delve into these matters in an objective manner to provide all the stakeholders in any present or future recreational marijuana market (users, business owners, legislators) with accurate information on the current state of the industry. Starting with an introduction of the history of marijuana in the United States, as well as the factors that led to its illegality, offers insight into the past and current laws currently impacting the recreational marijuana market in Colorado, with special emphasis on the state regulatory framework in place at this time. The analysis will include an in-depth examination of the current market forces at play in the recreational marijuana market, including technological, sociological, and economic factors, with a look at current business-level strategies for marijuana businesses and the threats arising from alcohol and tobacco, the drug's main substitutes. This report will explain the tax framework in place in Colorado, and investigate trends in market sales and tax revenues, including detailed statistics on the distribution of tax revenue throughout the state. A comprehensive analysis of the legislative issues the market faces, both in Colorado and across the country, will thoroughly indicate the major problems the industry must overcome in the future, or whether it can do so at all. These will include difficulties in the banking, taxation, insurance, and bankruptcy systems that marijuana-related businesses currently face.
ContributorsDosad, Jay (Author) / Goegan, Brian (Thesis director) / Foster, William (Committee member) / Sandra Day O'Connor College of Law (Contributor) / W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Government and news outlets everywhere preach that trade is hurting their domestic economy. However, trade is supposed to be beneficial to all theoretically. So where is the disconnect? This thesis was created to gather understanding about trade in the real world and how it can be accurately portrayed. First, I looked at the basics of bilateral and multilateral trade to show that trade imbalances will always exist and show that this idea that countries have that trade surpluses are best is incorrect. Second, I compared the accuracies of the two measures of trade that exist: balance of trade and current account measures. I conducted this research to show that the common measure of trade (balance of trade) is inaccurate and the stronger, more accurate measure is the current account measure. After coming to this conclusion, I began to see what factors in countries affect their current account balance. I looked at five categories: demographics, investment climate, level of economic development, existence of a technology boom, and current trade policy, and looked at theoretical explanations for how each one affects the current account. In the end, I was able to create a theory based on these five factors to predict the current account balance in any country and describe its trade health. In conclusion, I found that the issue of trade misconceptions lies in which measurement someone uses, and this simple misunderstanding can lead to things such as trade wars and global economic degradation.
ContributorsBuch, Saager Rajesh (Author) / Hill, John (Thesis director) / Mendez, Jose (Committee member) / School of Politics and Global Studies (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
DescriptionA comprehensive look at the roles and responsibilities of producers in contemporary Hollywood. The experience I have as an Associate Producer on a current project is also chronicled while the ups and downs of film production are explored.
ContributorsGalen, Adam (Author) / Sandler, Kevin (Thesis director) / Green, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2014-05
Description
This thesis studies the area of sentiment analysis and its general uses, benefits, and limitations. Social networking, blogging, and online forums have turned the Web into a vast repository of comments on many topics. Sentiment analysis is the process of using software to analyze social media to gauge the attitudes or sentiments of the users/authors concerning a particular subject. Sentiment analysis works by processing (data mining) unstructured textual evidence using natural language processing and machine learning to determine a positive, negative, or neutral measurement. When utilized correctly, sentiment analysis has the potential to glean valuable insights into consumers' minds, which in turn leads to increased revenue and improved customer satisfaction for businesses. This paper looks at four industries in which sentiment analysis is being used or being considered: retail/services, politics, healthcare, and finances. The goal of the thesis will be to explore whether sentiment analysis has been used successfully for economic or social benefit and whether it is a practical solution for analyzing consumer opinion.
ContributorsSoumya, Saswati (Author) / Uday, Kulkarni (Thesis director) / Brooks, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Department of Economics (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor)
Created2014-05