It is important to know why financial crises happen every ten years since the United States is approaching what could be the next ten-year cycle. However, 2019 could be the year the financial markets escape past trends, but that will not happen without understanding why past crises have taken place. If humans stop creating the occurrences for a crisis, there will be nothing for human nature to escalate and make worse. The more independence and knowledge investors and financial institutions have, the easier it will be to stop the occurrences that create a crisis every ten years. This thesis explores why human actions are really to blame for the financial crises the United States’ markets have experienced, and why human nature is to blame for escalating the crisis experienced. Moving forward, if humans can stop creating the occurrences for a financial crisis, the markets can be changed for the better.
This paper examines the the Small Business Investment Company ("SBIC") program and the Early Stage SBIC program specifically. Fund economics were analyzed and compared to structural details of the program to determine the major factors in the ending of the Early Stage program.
This paper discusses merger arbitrage as a trading strategy, the benefits of allocating it into a diversified portfolio, and a method of replicating its returns through an alternative investment strategy (writing uncovered index put options). It discusses the approach to implementation, along with the risk and reward profile of the strategy. The paper entitled Characteristics of Risk and Return in Merger arbitrage is used as a basis for the research approach. An up-to-date time series analysis is constructed utilizing the HFRMAI index (a hedge fund index that mirrors a sizable sample of merger risk arbitrage transactions) as a benchmark for testing the effectiveness of the replication strategy (PUT index). Lastly, a live merger arbitrage strategy is executed on a current M&A transaction (the LVMH and Tiffany & Co. acquisition) to assess the acquirer and target firms’ stock volatility and profits or losses.
This thesis aims to develop a new way to value players for all teams in the MLB, despite the financial disparity. Displayed in the rest of this paper, is a player valuation model created around each team's salary level, focusing on the player’s offensive output. The model functions in a way that values players by their ability to help their team score runs and win games by setting parameters for salary expectations based on player performance. This allows for small market MLB teams, like the Cleveland Guardians, to build a roster of players around their specific salary limit, specifically to score the maximum runs and win games. On the contrary, the model also works for big market teams, like the Los Angeles Dodger, allowing them to project their larger salary limit to players and build their ideal roster as well.
The Supply Chain of a company is the most critical component of a business as it directly impacts a company’s ability to deliver products/services to customers is a timely, cost effective method. With this amount of importance, a resilient supply chain is pivotal for positive future earnings in each successive quarter. Two pivotal metrics to gauge a Supply Chain include Production Delays and Excess Inventory. Through in-depth analysis, it was found that these metrics had caused abnormal amounts of price volatility with a stock’s performance. Understanding these metrics, the impact and lesson that COVID had taught, and analyzing earnings transcripts of publicly traded company’s demonstrates the use of Supply Chain health in comparison to company performance. This thesis aims to examine how a company's supply chain affects its performance, by analyzing different metrics and disruptions that have caused significant volatility in the stock market. The objective is to help investors maximize their profitability or reduce their risk by identifying the key factors that impact a company's supply chain.