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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
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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 affect the initial cost of securing a real estate salesperson

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.
ContributorsSanders, Sarah (Author) / Stapp, Mark (Thesis director) / Koblenz, Blair (Committee member) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
This dissertation consists of two essays on corporate policy. The first chapter analyzes whether being labeled a “growth” firm or a “value” firm affects the firm’s dividend policy. I focus on the dividend policy because of its discretionary nature and the link to investor demand. To address endogeneity concerns, I

This dissertation consists of two essays on corporate policy. The first chapter analyzes whether being labeled a “growth” firm or a “value” firm affects the firm’s dividend policy. I focus on the dividend policy because of its discretionary nature and the link to investor demand. To address endogeneity concerns, I use regression discontinuity design around the threshold to assign firms to each category. The results show that “value” firms have a significantly higher dividend payout - about four percentage points - than growth firms. This approach establishes a causal link between firm “growth/value” labels and dividend policy.

The second chapter develops investment policy model which associated with du- ration of cash flow. Firms are doing their business by operating a portfolio of projects that have various duration, and the duration of the project portfolio generates dif- ferent duration of cash flow stream. By assuming the duration of cash flow as a firm specific characteristic, this paper analyzes how the duration of cash flow affects firms’ investment decision. I develop a model of investment, external finance, and savings to characterize how firms’ decision is affected by the duration of cash flow. Firms maximize total value of cash flow, while they have to maintain their solvency by paying a fixed cost for the operation. I empirically confirm the positive correlation between duration of cash flow and investment with theoretical support. Financial constraint suffocates the firm when they face solvency issue, so that model with financial constraint shows that the correlation between duration of cash flow and investment is stronger than low financial constraint case.
ContributorsLee, Tae Eui (Author) / Mehra, Rajnish (Thesis advisor) / Tserlukevich, Yuri (Thesis advisor) / Custodio, Claudia (Committee member) / Arizona State University (Publisher)
Created2015
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Description
I study the relation between firm debt structure and future external financing and investment. I find that greater reliance on long-term debt is associated with increased access to external financing and ability to undertake profitable investments. This contrasts with previous empirical results and theoretical predictions from the agency cost literature,

I study the relation between firm debt structure and future external financing and investment. I find that greater reliance on long-term debt is associated with increased access to external financing and ability to undertake profitable investments. This contrasts with previous empirical results and theoretical predictions from the agency cost literature, but it is consistent with predictions regarding rollover risk. Furthermore, I find that firms with lower total debt (high debt capacity) have greater access to new financing and investment. Lower leverage increases future debt issues and capital expenditures, and firms do not fully rebalance by reducing the use of external financing sources such as equity. Finally, my results support the view that greater reliance on unsecured debt can increase future debt financing. Overall, my paper offers new insights into how aspects of debt structure, in particular maturity, are related ex-post to firms' ability to raise new financing and invest.
ContributorsFlynn, Sean Joseph (Author) / Tserlukevich, Yuri (Thesis advisor) / Hertzel, Mike (Committee member) / Stein, Luke (Committee member) / Arizona State University (Publisher)
Created2017
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Description
This paper will examine the statistical significance of IRR dispersions caused by adjustments to property conditions. Many different economic metrics affect the returns and performance of real estate assets. During the underwriting process, many of these factors are considered and analyzed to find the true value of the asset given

This paper will examine the statistical significance of IRR dispersions caused by adjustments to property conditions. Many different economic metrics affect the returns and performance of real estate assets. During the underwriting process, many of these factors are considered and analyzed to find the true value of the asset given a set of market conditions. Because of the dynamic nature of the market, these factors fluctuate and therefore affect asset returns. Using Argus software, real estate managers can identify these variables and see how their adjustments affect asset returns in real-time. The beginning of this paper will start with an outline of the properties being analyzed, and well as financial information and market assumptions. For the statistical analysis, the Argus inputs that will be analyzed are:
1. Rental Revenue
2. Occupancy Rate
3. Tenant Improvements
4. Leasing Commissions
5. Operating Expenses
6. Capital Expenditures
7. Purchase Price
8. LTV
9. Debt Service Payment
10. Exit Sales Price
For the analysis, each variable will be individually adjusted without any changes to the other variables to ensure that changes in IRR are solely a result of the variable being adjusted. After the sensitivity analysis, each variable will be examined further the showcase differences in disparities and provide managerial insight. Finally, the findings will be applied to a modern-day scenario for additional insight on the practice use of the data. The importance of this data is that once analyzed, it can help real estate managers understand the main determinants of value in commercial real estate investments.
ContributorsMakhija, Aditya (Author) / Stapp, Mark (Thesis director) / Koblenz, Blair (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description
This thesis is broken up into two parts: a research paper and a creative project. The paper provides an overview of the REIT universe as well as important historical and legal information about REITs. The creative project explores how REIT performance varied based on valuation multiples during a five-month period

This thesis is broken up into two parts: a research paper and a creative project. The paper provides an overview of the REIT universe as well as important historical and legal information about REITs. The creative project explores how REIT performance varied based on valuation multiples during a five-month period from October of 2021 to March of 2022. My initial objective was to determine whether a “growth” or “value” investment strategy worked best in the current market. However, I quickly discovered that the prevailing market conditions were far different than I expected. As a result, I gained valuable insight into how REITs behave during periods of market uncertainty.
ContributorsLicon, Lawrence (Author) / Koblenz, Blair (Thesis director) / Stapp, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2022-05