Schools across the United States have been subject to a rise in violent incidents since 2013. Reading about school shootings, racist acts, and violent demonstrations in schools has unfortunately become commonplace, which is contributing to inequitable outcomes for some student populations. These equity gaps have triggered demands for more equitable solutions in schools, a responsibility that falls on the shoulders of stakeholders like school governing boards, principals, and parents.

Chandler Unified School District (CUSD), a large school system in Arizona that serves 45,000 students from preschool through high school, has been unable to escape similar structural and frictional inequities within its schools. One instance of a racially charged student performance at Santan Middle School motivated CUSD to take a more immediate look at equity in the district. It is during this response that our team of New Venture Group consultants engaged with Matt Strom, Assistant Superintendent of CUSD, in analyzing the important question of “how CUSD can take steps towards closing equity gaps within the district?”

CUSD defines an equity gap as any difference in student opportunity, achievement, discipline, attendance, etc. contributable to a student’s ethnicity, gender, or socioeconomic status. Currently, certain student populations in CUSD perform vastly different academically and receive different opportunities within schools, but as was our problem statement, CUSD is aiming to reduce (and eventually close) these gaps.

Our team approached this problem in three phases: (1) diagnosis, (2) solution creation, and (3) prevention. In phase one, we created a dashboard to help principals easily and visually identify gaps by toggling parameters on the dashboard. Phase two focused on the generation of recommendations for closing gaps. To achieve this goal, a knowledge of successful gap-closing strategies will be paired with the dashboard. In our final phase, the team of consultants created a principal scorecard to ensure equity remains a priority for principals.

The classification of financially at-risk is an expansive term that fits the personal profile of most individuals when it comes to the conditioning of their attitude toward money management, particularly in the planning and investment of that money for the achievement of long-term goals. In the case of this thesis, we focus primarily on those who have made a career in professional athletics and entertainment. The behavioral finance tendencies of these two industry professions are widely regarded as insufficient and often damaging the to the longevity of achieved financial security. This ideology stems primarily from an environment where individuals enjoy rapid wealth accumulation in a highly competitive and constantly transitioning role within their respective crafts. The subjectively common behavioral shortcomings of these world-class athletes and performers and uncertain day-to-day security of the professions which these at-risk individuals possess make for highly unfavorable circumstances when striving to achieve a lifetime of income and a secure retirement. In examining individuals of these classes who have faced grave financial hardship, this thesis will serve as a basis for identifying measures to recondition problematic behavioral tendencies that ultimately cause disengagement from a prudent financial plan. Therefore, this thesis will also serve as a framework to determine what investment strategies will complement the behavioral modifications financial planners strive to instill in these individuals, so that professional athletes, celebrities, and financially at-risk professionals alike may achieve higher probability of creating financial freedom through the engaged execution of a goals-based financial plan.

The purpose of the present study is to examine how the Sales and Operation Plan (S&OP) process can be improved in the manufacturing industry by using a cost model to evaluate changes in the manufacturing forecast in addition to reviewing past financial performance. The additional use of a cost model transitions form using a standard traditional S&OP process to dynamic modeling and scenario analysis that may lead to different decisions being made. The manufacturing company S&OP processes in scope of this project is suspected to not be using a cost model when making financial decisions but rather the traditional S&OP process. They do not have a rolling budget in place, but rather a static budget also known as an Annual Operating Plan.

There is a long standing debate on the various forms of investment in the growing marketplace as to which is best for the individual investor needs. Two similar types of investments are mutual funds and exchange-traded funds (ETF), which are both securities that are made up of a pool funds. They are comparable in concept but have key differences that make this study unique. Mutual funds are much more commonly used and are more prevalent in investment publications. This study addresses the benefits and drawbacks of mutual funds and ETFs and how their structures influence returns over a period of time. The purpose of this study was to take historical data of both mutual funds and ETFs to find their returns and see which, if either, outperformed the other based on several different calculations and performance measures. To improve the validity of this study, we found funds from both the technology and utility sector, for each investment vehicle in order to evaluate different classes of risk. We kept the study consistent and compared technology mutual funds to technology exchange traded funds, and so on with the utility sector. We created four portfolios consisting of around eight to ten high quality funds based on criteria. Results indicated that ETFs outperformed mutual funds in both the utility and technology sectors. In order to adjust for risk, we ran Jensen's measure and found that ETF's still outperformed mutual funds. This is significant because mutual funds are highly regarded in the investment world and often thought of as better than ETFs mainly due to their active management and long term results as they have been around for longer than ETFs. This study proves that investors should be putting more money into ETFs because they yield higher returns over time and cost less in fees, allowing the investor to retain a larger portion of their investment.

An integral part of the financial system, the evolutionary history of commercial banking remains largely uncharted and is often grouped into banking development as a whole. Previous research on banking has primarily relied on economic analysis or has placed banking in a larger social context. This work aims to bridge the two by classifying commercial banking growth into four cycles of expansion, application, and decline. Drawing from historical accounts and growth cycle theory, this framework for classification is developed to better synthesize its progress and the fundamental innovations that changed the banking system. Beginning in 1150 with the foundation for deposit banking, the next three cycles of 1500, 1750, and 1933 mark periods of great innovation and a push toward the regulatory environment, technology, and globalization that define modern commercial banking. Paralleling the economic, financial, and political development of the Western World, its evolution is guided by three themes: the increased accumulation and flow of capital, regulation, and market expansion.

This paper provides evidence through an event study, portfolio simulation, and regression analysis that insider trading, when appropriately aggregated, has predictive power for abnormal risk-adjusted returns on some country and sector exchange traded funds (ETFs). I examine ETFs because of their broad scope and liquidity. ETF markets are relatively efficient and, thus, the effects I document are unlikely to appear in ETF markets. My evidence that aggregated insider trading predicts abnormal returns in some ETFs suggests that aggregated insider trading is likely to have predictive power for financial assets traded in less efficient markets. My analysis depends on specialized insider trading data covering 88 countries is generously provided by 2iQ.