Micro influencers have become extremely powerful in terms of swaying buying patterns among consumers. This thesis examines the greater impact that micro influencers have on brand marketing. This was completed through a literature review that highlights the evolution of marketing, influencer marketing, discussing reach, relevance, and resonance, and Generation Z’s purchasing decisions. In addition, we conducted an online survey through Qualtrics that allowed us to analyze the impact social media influencers have. The results of our research indicate that TikTok is used most frequently, but Instagram is where social media influencers are followed most. From our data, we concluded that Generation Z is most influenced by authentic, genuine content created by influencers regardless of follower count. We recommend that a brand interested in reaching Generation Z (we refer to the brand as “Brand X”) use micro influencers, as our research shows that genuine relationships are valued among this generation. We believe that micro influencers are the most valuable to use as they are able to create meaningful relationships with consumers due to their reach, relevance, and resonance with the individuals their content reaches.

Have new fraud and earnings manipulation detecting tools improved confidence in capital markets? To answer this question, I will provide a survey of tools currently used to detect fraud and earnings manipulation, discuss the effects of fraud and earnings manipulation, and look at changes in historical records of consumer confidence and investment returns as a test to our question.

Fantasy football is a game derived from America’s National Football League and involves players managing “teams” of fantasy football players. Given that the game contains elements of value, risk, and reward, this project aims to draw parallels between fantasy football and Modern Portfolio Theory, a well-regarded theory describing portfolio construction and performance in financial markets. This hypothesis is tested through a simulation of the 2019 – 2020 fantasy football season using this strategy; a sample team is generated, the team is adjusted as per the rules outlined in the risk-reducing and value-preserving strategy, and the results are tabulated per the team’s fantasy football scoring output. The results show that a volatility-reducing strategy fails to achieve a consistent, good performance from the fantasy team portfolio, but can result in a relatively successful season. Key issues to consider in this outcome are the low volume of data, the high volatility and situational nature of the underlying statistics from which fantasy scoring is derived, and the inefficiency of financial markets. The value of this research demonstrates that strict algorithmic, numerical, or technical methods are insufficient to succeed in fantasy football, and that information availability, access, and speed, along with a significant allotment of luck, are needed to succeed. The implication for the financial field is that the rules and theories formulated for it are based on certain crucial assumptions such as a centralized supply and demand for securities, an objective theory of value, and efficiency of markets, which cannot be translated directly to fantasy football.

The COVID-19 pandemic has and will continue to radically shift the workplace. An increasing percentage of the workforce desires flexible working options and, as such, firms are likely to require less office space going forward. Additionally, the economic downturn caused by the pandemic provides an opportunity for companies to secure favorable rent rates on new lease agreements. This project aims to evaluate and measure Company X’s potential cost savings from terminating current leases and downsizing office space in five selected cities. Along with city-specific real estate market research and forecasts, we employ a four-stage model of Company X’s real estate negotiation process to analyze whether existing lease agreements in these cities should be renewed or terminated.

The COVID-19 pandemic has and will continue to radically shift the workplace. An increasing percentage of the workforce desires flexible working options and, as such, firms are likely to require less office space going forward. Additionally, the economic downturn caused by the pandemic provides an opportunity for companies to secure favorable rent rates on new lease agreements. This project aims to evaluate and measure Company X’s potential cost savings from terminating current leases and downsizing office space in five selected cities. Along with city-specific real estate market research and forecasts, we employ a four-stage model of Company X’s real estate negotiation process to analyze whether existing lease agreements in these cities should be renewed or terminated.

The insurance industry is a multibillion-dollar industry, yet it lags far behind other industries like banking and big tech in its adaptation of automation. I experienced this first-hand as an intern at State Farm. I completed a project that was a massive data entry job and made it into a process that took clicking three buttons to finish. Although just one example, it was clear that State Farm as well as the insurance industry in general are not utilizing automation and machine learning. The adaptation of automation and machine learning will have internal and external benefits for insurance companies like increased efficiencies in business processes and increased customer satisfaction. However, to realize these external and internal benefits, companies, like State Farm, must implement an adhocratic culture where risk taking is incentivized, and companies must invest resources into their underwriting processes, rather through internal investment or an acquisition, to automate the process.

The COVID-19 pandemic has and will continue to radically shift the workplace. An increasing percentage of the workforce desires flexible working options and, as such, firms are likely to require less office space going forward. Additionally, the economic downturn caused by the pandemic provides an opportunity for companies to secure favorable rent rates on new lease agreements. This project aims to evaluate and measure Company X’s potential cost savings from terminating current leases and downsizing office space in five selected cities. Along with city-specific real estate market research and forecasts, we employ a four-stage model of Company X’s real estate negotiation process to analyze whether existing lease agreements in these cities should be renewed or terminated.