Matching Items (2)
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- All Subjects: EDGAR
- Creators: Boguth, Oliver
- Creators: Schreindorfer, David
- Member of: Theses and Dissertations
Description
I propose new measures of investor attention for Mutual Funds. Using the Security and Exchange Commissions’ Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system’s server log files, this study is the first to explore investor attention to specific mutual funds. I find that changes, or spikes, in mutual fund investor attention are associated with funds’ introduction of a new share class, decreases in expense ratio, past performance and volatility. On average, spikes to investor attention predict net inflows into mutual funds which outpace the overall growth of the mutual fund sector. Attention via this EDGAR channel is more important when investors are researching more opaque funds. Moreover, there is a positive relationship between mutual fund investor attention and fund returns. Yet, there is evidence that investors appear to be responding to the acquisition of stale information with flows. I additionally utilize Google Trends data for individual fund tickers and investigate its effects in Mutual Fund Market. I find that Investor Attention to individual mutual funds is concentrated within Equity funds, Index funds, and Institutional funds. Individual fund attention is strongly negatively associated with expense ratios, 12B-1 Fees, and 'broker sold' funds, suggesting that funds with higher fees get less attention than low cost index funds. I find limited support for the controversial convexity in the flow to performance sensitivity in the Mutual Fund market, but only in funds with high levels of individual attention.
ContributorsWymbs, Michael (Author) / Aragon, George (Thesis advisor) / Tserlukevich, Yuri (Committee member) / Boguth, Oliver (Committee member) / Arizona State University (Publisher)
Created2021
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