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"Generating an astounding $110.7 billion annually in domestic revenue alone [1], the world of accounting is one deceptively lacking automation of its most business-critical processes. While accounting tools do exist for the common person, especially when it is time to pay their taxes, such innovations scarcely exist for many larger

"Generating an astounding $110.7 billion annually in domestic revenue alone [1], the world of accounting is one deceptively lacking automation of its most business-critical processes. While accounting tools do exist for the common person, especially when it is time to pay their taxes, such innovations scarcely exist for many larger industrial tasks. Exceedingly common business events, such as Business Combinations, are surprisingly manual tasks despite their $1.1 trillion valuation in 2020 [2]. This work presents the twin accounting solutions TurboGAAP and TurboIFRS: an unprecedented leap into these murky waters in an attempt to automate and streamline these gigantic accounting tasks once entrusted only to teams of experienced accountants.
A first-to-market approach to a trillion-dollar problem, TurboGAAP and TurboIFRS are the answers for years of demands from the accounting sector that established corporations have never solved."

ContributorsCapuano, Bailey Kellen (Co-author) / Preston, Michael (Co-author) / Kuhler, Madison (Co-author) / Chen, Yinong (Thesis director) / Hunt, Neil (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

The PPP Loan Program was created by the CARES Act and carried out by the Small Business Administration (SBA) to provide support to small businesses in maintaining their payroll during the Coronavirus pandemic. This program was approved for $350 billion, but this amount was expanded by an additional $320 billion

The PPP Loan Program was created by the CARES Act and carried out by the Small Business Administration (SBA) to provide support to small businesses in maintaining their payroll during the Coronavirus pandemic. This program was approved for $350 billion, but this amount was expanded by an additional $320 billion to meet the demand by struggling businesses, since initial funding was exhausted under two weeks.<br/><br/>Significant controversy surrounds the program. In December 2020, the Department of Justice reported 90 individuals were charged for fraudulent use of funds, totaling $250 million. The loans, which were intended for small business, were actually approved for 450 public companies. Furthermore, the methods of approval are<br/>shrouded in mystery. In an effort to be transparent, the SBA has released information about loan recipients. Conveniently, the SBA has released information of all recipients. Detailed information was released for 661,218 recipients who have received a PPP loan in excess of $150,000. These recipients are the central point of this research.<br/><br/>This research sought to answer two primary questions: how did the SBA determine which loans, and therefore which industries are approved, and did the industries most affected by the pandemic receive the most in PPP loans, as intended by Congress? It was determined that, generally, PPP Loans were approved on the basis of employment percentages relative to the individual state. Furthermore, in general, the loans approved were approved fairly, with respect to the size of the industry. The loans, when adjusted for GDP and Employment factors, yielded a clear ranking that prioritized vulnerable industries first.<br/><br/>However, significant questions remain. The effectiveness of the PPP has been hindered by unclear incentives and negative outcomes, characterized by a government program that has essentially been rushed into service. Furthermore, limitations of available data to regress and compare the SBA's approved loans are not representative of small business.

ContributorsMaglanoc, Julian (Author) / Kenchington, David (Thesis director) / Cassidy, Nancy (Committee member) / Department of Finance (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Generating an astounding $110.7 billion annually in domestic revenue alone [1], the world of accounting is one deceptively lacking automation of its most business-critical processes. While accounting tools do exist for the common person, especially when it is time to pay their taxes, such innovations scarcely exist for many larger

Generating an astounding $110.7 billion annually in domestic revenue alone [1], the world of accounting is one deceptively lacking automation of its most business-critical processes. While accounting tools do exist for the common person, especially when it is time to pay their taxes, such innovations scarcely exist for many larger industrial tasks. Exceedingly common business events, such as Business Combinations, are surprisingly manual tasks despite their $1.1 trillion valuation in 2020 [2]. This work presents the twin accounting solutions TurboGAAP and TurboIFRS: an unprecedented leap into these murky waters in an attempt to automate and streamline these gigantic accounting tasks once entrusted only to teams of experienced accountants.
A first-to-market approach to a trillion-dollar problem, TurboGAAP and TurboIFRS are the answers for years of demands from the accounting sector that established corporations have never solved.

ContributorsPreston, Michael Ernest (Co-author) / Capuano, Bailey (Co-author) / Kuhler, Madison (Co-author) / Chen, Yinong (Thesis director) / Hunt, Neil (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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I examine the degree to which stockholders' aggregate gain/loss frame of reference in the equity of a given firm affects their response to the firm's quarterly earnings announcements. Contrary to predictions from rational expectations models of trade (Shackelford and Verrecchia 2002), I find that abnormal trading volume around earnings announcements

I examine the degree to which stockholders' aggregate gain/loss frame of reference in the equity of a given firm affects their response to the firm's quarterly earnings announcements. Contrary to predictions from rational expectations models of trade (Shackelford and Verrecchia 2002), I find that abnormal trading volume around earnings announcements is larger (smaller) when stockholders are in an aggregate unrealized capital gain (loss) position. This relation is stronger among seller-initiated trades and weaker in December, consistent with the cognitive bias referred to as the disposition effect (Shefrin and Statman 1985). Sensitivity analysis reveals that the relation is stronger among less sophisticated investors and for firms with weaker information environments, consistent with the behavioral explanation. I also present evidence on the consequences of this disposition effect. First, stockholders' aggregate unrealized capital gain position moderates the degree to which information-related determinants of trade (e.g. unexpected earnings, firm size, and forecast dispersion) affect abnormal announcement-window trading volume. Second, stockholders' aggregate unrealized capital gains position is associated with announcement-window abnormal returns, consistent with the disposition effect reducing the market's ability to efficiently incorporate earnings news into price.
ContributorsWeisbrod, Eric (Author) / Hillegeist, Stephen (Thesis advisor) / Kaplan, Steven (Committee member) / Mikhail, Michael (Committee member) / Arizona State University (Publisher)
Created2012
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When managers provide earnings guidance, analysts normally respond within a short time frame with their own earnings forecasts. Within this setting, I investigate whether financial analysts use publicly available information to adjust for predictable error in management guidance and, if so, the explanation for such inefficiency. I provide evidence that

When managers provide earnings guidance, analysts normally respond within a short time frame with their own earnings forecasts. Within this setting, I investigate whether financial analysts use publicly available information to adjust for predictable error in management guidance and, if so, the explanation for such inefficiency. I provide evidence that analysts do not fully adjust for predictable guidance error when revising forecasts. The analyst inefficiency is attributed to analysts' attempts to advance relationship with the managers, analysts' compensation not tie to forecast accuracy, and their forecasting ability. Finally, the stock market acts as if it does not fully realize that analysts respond inefficiently to the guidance, introducing mispricing. This mispricing is not fully corrected upon earnings announcement.
ContributorsLin, Kuan-Chen (Author) / Mikhail, Michael (Thesis advisor) / Hillegeist, Stephen (Committee member) / Hugon, Jean (Committee member) / Arizona State University (Publisher)
Created2012
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In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined with a collection of relevant industry sources to ascertain conclusions about the two systems' relative competitiveness. The cannabis industry is

In A Comparative Analysis of Indoor and Greenhouse Cannabis Cultivation Systems, the two most common systems for commercial cannabis cultivation are compared using an operational and capital expenditure model combined with a collection of relevant industry sources to ascertain conclusions about the two systems' relative competitiveness. The cannabis industry is one of the fastest growing nascent industries in the United States, and, as it evolves into a mature market, it will require more sophisticated considerations of resource deployment in order to maximize efficiency and maintain competitive advantage. Through drawing on leading assumptions by industry experts, we constructed a model of each system to demonstrate the dynamics of typical capital deployment and cost flow in each system. The systems are remarkably similar in many respects, with notable reductions in construction costs, electrical costs, and debt servicing for greenhouses. Although the differences are somewhat particular, they make up a large portion of the total costs and capital expenditures, causing a marked separation between the two systems in their attractiveness to operators. Besides financial efficiency, we examined quality control, security, and historical norms as relevant considerations for cannabis decision makers, using industry sources to reach conclusions about the validity of each of these concerns as a reason for resistance to implementation of greenhouse systems. In our opinion, these points of contention will become less pertinent with the technological and legislative changes surrounding market maturation. When taking into account the total mix of information, we conclude that the greenhouse system is positioned to become the preeminent method of production for future commercial cannabis cultivators.
ContributorsShouse, Corbin (Co-author) / Nichols, Nathaniel (Co-author) / Swenson, Dan (Thesis director) / Cassidy, Nancy (Committee member) / Feltham, Joe (Committee member) / School of Accountancy (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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I was interested to see if there were any statistically significant differences in political ideology between Master's of Accountancy students (MACC) and Master's of Taxation students (MTax) at Arizona State University. I hypothesized that the MACC students would tend to be more liberal or less conservative than the MTax students,

I was interested to see if there were any statistically significant differences in political ideology between Master's of Accountancy students (MACC) and Master's of Taxation students (MTax) at Arizona State University. I hypothesized that the MACC students would tend to be more liberal or less conservative than the MTax students, while the MTax students would tend to be more conservative or less liberal than the MACC students. Scholars have found ways that conservatives and liberals differ, including differences in personality traits of conscientiousness and openness, as well as the types of careers they are drawn to. Scholars have also performed personality tests on accountants, accounting students, and accounting faculty to show how they differ. I distributed a voluntary online survey to students to discern their political beliefs. Most of the questions I asked did not reveal any statistically significant differences between students from the two programs, but the questions that did reveal some statistically significant differences showed that MACC students were more likely to be liberal or less conservative on certain issues, while the opposite was true for the MTax students. The statistically significant differences tended to appear for questions related to social policy rather than economic policy. This finding supports previous studies that show how social policy tends to be more divisive than economic policy.
ContributorsAnderson, Brett Patrick (Author) / Lewis, Paul (Thesis director) / Lowe, D. Jordan (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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The competitive nature of business requires managers to consistently work towards eliminating unnecessary costs and improving financial management. Worldwide, fraud remains a pervasive and expensive problem for businesses. Fraud involving misappropriation of assets (commonly referred to as embezzlement) and fraudulent financial reporting cost organizations trillions of dollars worldwide. To better

The competitive nature of business requires managers to consistently work towards eliminating unnecessary costs and improving financial management. Worldwide, fraud remains a pervasive and expensive problem for businesses. Fraud involving misappropriation of assets (commonly referred to as embezzlement) and fraudulent financial reporting cost organizations trillions of dollars worldwide. To better understand the most effective ways of combating misappropriation and to a lesser extent, fraudulent financial reporting, this paper evaluates research and reports the results of expert interviews with accountants, forensic experts, and security specialists.
ContributorsMurnane, George (Author) / Munshi, Perseus (Thesis director) / Pany, Kurt (Committee member) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Over the years from 2009 to 2017, the people of Arizona witnessed the state consistently defunding the schools, its students academically underperforming, and as a result, the poverty achievement gap widening. Even with the efforts in recent years to re-invest in education, Arizona’s education funding falls below its level at

Over the years from 2009 to 2017, the people of Arizona witnessed the state consistently defunding the schools, its students academically underperforming, and as a result, the poverty achievement gap widening. Even with the efforts in recent years to re-invest in education, Arizona’s education funding falls below its level at 2008 and the national average. Among Arizona’s funding sources is the Public School Tax Credit, a unique legislation for the state that allows for taxpayers to donate money to certain programs at Arizona public schools and reduce their state income tax liability dollar-for-dollar. Because of the already severe achievement gap in Arizona, this funding source which relies on surrounding neighborhoods’ income raises the concern that, instead of helping Arizona students, it is exacerbating the existing achievement gap. The purpose of this paper is to examine the relationship between income and donations received by schools to determine the validity of this concern. To ensure a comprehensive examination of the relationship between income and donations received, regression tests are run on both the aggregate level and individual level. The tests find that, although income does have a statistically significant correlation with the donations received, it is only positive for the effect of total income on total donations, negative for the effect of average income per return on average donation per donor, and negative for average income per return on total donations. The results imply that to garner high donations, it matters less to be located in a high-earning neighborhood and more important to be located in a moderate-earning neighborhood with a lot of people donating using this credit. Therefore, the concern of income’s effect on donations is valid, but perhaps not in the straightforward way that we would expect.
ContributorsChen, Vivian Young (Author) / Kenchington, David (Thesis director) / Brown, Jenny (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards internal locus of control are better able to resist pressure

The goal of this study was to explore the relationship between locus of control and the influence of an unethical authority figure. This research is a preliminary, exploratory study given research design limits. It was hypothesized that subjects oriented towards internal locus of control are better able to resist pressure from an unethical authority figure. Subjects oriented towards the powerful others and chance orientations were hypothesized to be less able to resist pressure from an unethical authority figure. The results found that the presence of an unethical authority figure had little to no influence on self-perceived unethical decision-making; the difference in unethical behavior between cases with an authority figure present and without one present was not statistically significant. Further, no support was found for the hypotheses as no statistically significant relationship between locus of control orientations and the difference between the control case and test case was found (R2 = 0.02, model P-value > 0.05). Further analysis confirmed the results of Detert et al. (2008), finding no relationship between survey subjects’ locus of control orientations and unethical decision-making. Additional analysis indicates a relationship between unethical decision-making and gender (B = -5.14, P = 0.03, P < 0.05), providing some interesting avenues for future research.
ContributorsAmorosi, Kaitlin (Author) / Samuelson, Melissa (Thesis director) / Orpurt, Steven (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05