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- Creators: Department of Supply Chain Management
- Creators: Schreindorfer, David
Description
For this thesis, the authors would like to create a hypothetical Private Equity Real Estate Investment firm that focuses on creating value for partners by taking an opportunistic approach to acquiring under-performing urban multi-family properties with large upside potential for investing. The project will focus on both the market analysis and financial modeling associated with investment strategy and transactions. There is a substantial amount of complexity within commercial real estate and this thesis seeks to offer an accurate and comprehensive documentary of the process, while simplifying it for everyday readers. Additionally, there are a significant amount of risk factors associated with investment decisions, so the best practices from the industry documented in this manuscript are valuable tools for successful investing in the future. To gain the most profound and reliable industry knowledge, the authors leveraged the experience of dozens of industry professionals through research and personal interviews. Through careful analysis, the authors were able to ascertain the current economic position in the real estate cycle and to create a plan for future investing. Additionally, they were able to identify and evaluate a specific asset for purchase. As a result, the authors found that multifamily properties are a sound investment for the next two years and that the company should slowly start to shift directions to office and retail in 2018.
ContributorsBacon, David (Co-author) / Soto, Justin (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
When making investment decisions many different indicators are taken into consideration before picking a stock/corporation to invest in (retail or institutional). Traditionally these indicators tend to be financial measures such as earnings per share, price to earnings ratio, price to book value ratio, dividend yield/payout ratio, etc. Often these indicators do not take into consideration the actual running intricacies of a company as they are simply based on historical financial statements, thus limiting an investor's decision-making ability. In this paper I analyze several companies stock performance to see if analyzing operational factors such as supply chain management before making an investment decision would have resulted in a profitable investment and thus prove as a reliable investment indicator. To do this I focused my analysis over a period of 5 years on two companies within three different industries; Fast Food, Processing, and Ecommerce. These industries were selected as the nature of their businesses require intensive supply chains thus this strategy would be most applicable to them as opposed to a software or IT company. Of the two companies selected from each respective industry one company would be listed/analyzed in Gartner's ranking of the "Annual Supply Chain Top 25" while the other company would not be. This Gartner ranking would serve as a measure of whether or not a company had a good supply chain. These companies then had their traditional financial metrics evaluated to see if supply chain analysis indirectly encapsulated some of these metrics as well. The goal of this analysis was to find if there was a strong correlation between companies listed on Gartner's rating scale and strong stock performance. If this was true this would suggest that there is a benefit to be captured by investors through using supply chain analysis as an indicator when making investment decisions.
ContributorsThompson, Tyler Thomas (Author) / Kellso, James (Thesis director) / Smith, Geoffrey (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis aims to promote financial literacy in the community. It was driven by the realization that there was a lack of basic financial knowledge among people at ASU and beyond. The people involved in the reason for the guide had all heard of bonds and understood the basic concepts, but lacked the knowledge of the finite details. The research starts with an overview of the United States bond market and focuses on the creation of a short simple guide. The goal is that anyone can read the guide and have a basic understanding of bonds, talk to financial managers, and do some basic investing. The easy guide is basically a two-page crash course on investing in bonds. Anyone can take a class or watch a video on bonds, but how do they actually start investing in them? This thesis works to answer this question by providing knowledge of real world application. The goal is to take knowledge beyond a book or video and learn from actively investing in a safe and clear way. Bonds are a very useful tool in investing and provide safe returns. The investing proposed is one that would be an alternative to putting money into a savings account. The guide recommends a good starting point of a way to invest in bonds (Specifically the US Treasury). At the same time does some analysis on other investing options for more advanced investors. The work includes an analysis of five bond portfolios and the calculations of finding their actual returns after loads and other fees.
ContributorsIrwin, Carter E. (Author) / Pruitt, Seth (Thesis director) / Schreindorfer, David (Committee member) / W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
My project has been a long journey, one that I have learned a tremendous amount on. The final version of my project has come out to be a booklet teaching first time users of code and python the basic steps of getting started and some vital information that I learned while I was learning the language. I started my thesis with the idea of creating a portfolio of stock, bonds and commodities to determine the best allocation of your money over a 30-year period. To do this, I needed to learn how to code and become proficient quickly so I could create a program that would be powerful enough as well as spit out the correct output in the end. Unfortunately, I fell short of being able to build this portfolio out. I took on the challenge of learning Python on my own with no knowledge of any coding language to see if I could pull the whole project together. I failed, but I learned so much along the way and that I think is more valuable than anything. Since I was unable to complete my code, I shifted my attention to creating a small booklet on the basics of getting started in Python as if you have never looked at a coding language. Many of the tips I discuss in my booklet are problems I struggled with when I began. In the beginning I couldn’t even figure out how to get to a coding platform to begin my work, so I began to research and found many helpful tips that took me quite a while to understand.
ContributorsToumbs, Jason David (Author) / Boguth, Oliver (Thesis director) / Schreindorfer, David (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05