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By matching a CEO's place of residence in his or her formative years with U.S. Census survey data, I obtain an estimate of the CEO's family wealth and study the link between the CEO's endowed social status and firm performance. I find that, on average, CEOs born into poor families

By matching a CEO's place of residence in his or her formative years with U.S. Census survey data, I obtain an estimate of the CEO's family wealth and study the link between the CEO's endowed social status and firm performance. I find that, on average, CEOs born into poor families outperform those born into wealthy families, as measured by a variety of proxies for firm performance. There is no evidence of higher risk-taking by the CEOs from low social status backgrounds. Further, CEOs from less privileged families perform better in firms with high R&D spending but they underperform CEOs from wealthy families when firms operate in a more uncertain environment. Taken together, my results show that endowed family wealth of a CEO is useful in identifying his or her managerial ability.
ContributorsDu, Fangfang (Author) / Babenko, Ilona (Thesis advisor) / Bates, Thomas (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Wang, Jessie (Committee member) / Arizona State University (Publisher)
Created2018
Description
I built a short-term West Texas Intermediate (WTI) crude oil price-forecasting model for two periods to understand how various drivers of crude oil behaved before and after the Great Recession. According to the Federal Reserve the Great Recession "...began in December 2007 and ended in June 2009" (Rich 1). The

I built a short-term West Texas Intermediate (WTI) crude oil price-forecasting model for two periods to understand how various drivers of crude oil behaved before and after the Great Recession. According to the Federal Reserve the Great Recession "...began in December 2007 and ended in June 2009" (Rich 1). The research involves two models spanning two periods. The first period encompasses 2000 to late 2007 and the second period encompasses early 2010 to 2016. The dependent variable for this model is monthly average WTI crude oil prices. The independent variables are based on what the academic community believes are drivers of crude oil prices. While the studies may be scattered across different time periods, they provide valuable insight on what the academic community believes drives oil prices. The model includes variables that address two different data groups including: 1. Market fundamentals/expectations of market fundamentals 2. Speculation One of the biggest challenges I faced was defining and quantifying "speculation". I ended up using a previous study's definition of "speculation", which it defined as the activity of certain market participants in the Commitment of Traders report released by the Commodity Futures Trading Commission. My research shows that the West Texas Intermediate crude oil market exhibited a structural change after the Great Recession. Furthermore, my research also presents interesting findings that warrant further research. For example, I find that 3-month T-bills and 10yr Treasury notes lose their predictive edge starting in the second period (2010-2016). Furthermore, the positive correlation between oil and the U.S. dollar in the period 2000-2007 warrants further investigation. Lastly, it might be interesting to see why T-bills are positively correlated to WTI prices and 10yr Treasury notes are negatively correlated to WTI prices.
ContributorsMirza, Hisham Tariq (Author) / McDaniel, Cara (Thesis director) / Budolfson, Arthur (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
With many recent events, such as the 2008 Financial Crisis, still under heavy scrutiny from the public, the payment received by executives at some of the major US banking institutions has been at the center of a major debate: are bank executives overpaid? While many people have attempted to answer

With many recent events, such as the 2008 Financial Crisis, still under heavy scrutiny from the public, the payment received by executives at some of the major US banking institutions has been at the center of a major debate: are bank executives overpaid? While many people have attempted to answer this question, it is important to look at historical data and determine whether banks tie executive pay to the performance of the firm. The authors gathered historical 10-K data on firm performance at five major banks (Bank of America, Citigroup, JP Morgan, US Bancorp, and Wells Fargo), as well as Proxy Statement data on how top-5 executives were being paid at these banks. Correlations between how the firm performed during a given year and what the executive officers of the bank were paid were calculated, to see whether the two subjects correlated with one another. Results were mixed-certain banks drew large correlations between the pay of executives and firm performance, while other banks did not. Interpretation of such data leads to a belief that some banks rely on overall firm performance when setting pay packages for executives, while other banks do not, perhaps using internal measures of performance unknown to the public. Extensive further research could be conducted on this issue to determine what other measures might play a more prominent role when it comes to deciding pay for executives at big banks.
ContributorsScheven, Tyler (Co-author) / Mayer, Robert (Co-author) / LePine, Marcie (Thesis director) / Budolfson, Arthur (Committee member) / Sampedro, Louie (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Management (Contributor)
Created2013-05
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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 is micro-investing, and what makes it different from traditional investing?

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.
Contributorsde la Vara, Nicholas (Author) / Budolfson, Arthur (Thesis director) / Hoffman, David (Committee member) / Department of Finance (Contributor, Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05