Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- Creators: Department of Information Systems
Sentiment analysis, which is a notably method in text mining, can be used to extract the sentiment from people’s opinion. It then provides us with valuable perception on a topic from the public’s attitude, which create more opportunities for deeper analysis and prediction.
The thesis aims to investigate public’s sentiment towards Bitcoin through analyzing 10 million Bitcoin related tweets and assigning sentiment points on tweets, then using sentiment fluctuation as a factor to predict future crypto fluctuation. Price prediction is achieved by using a machine learning model called Recurrent Neural Network which automatically learns the pattern and generate following results with memory. The analysis revels slight connection between sentiment and crypto currency and the Neural Network model showed a strong connection between sentiment score and future price prediction.
As two students who frequent the potentially affected area, we explore the feasibility of such a proposal to continue to grow the downtown Tempe economy. Our research focuses upon several different areas — exploring positive and negative cases of street pedestrianization (whether in Europe, the United States, or other countries), the impact a permanent street closure in Tempe would have both on personal traffic and on the city’s robust public transit system, potential security concerns, opinions of the business community on the proposed change, and the political feasibility of passing the proposal through the Tempe City Council.
Recent governments in France have failed to bring about meaningful labor reform, faced with opposition in the streets or within their own political party. The election of Emanuel Macron, viewed as a political outsider who had never held elected office created his own political party, En Marche, seemed like the catalyst to lasting economic reform. However, if high unemployment and slow economic growth to comparable economies have been concerns for France since the beginning of the 21st century, why were past governments unsuccessful in implementing legislative actions to address labor reform?
This paper will argue that the election of Macron and the establishment of En Marche was caused by a shift in power that allowed Macron enough support to sway the political landscape of France and implement labor market reform. This largely has to do with the power struggle between France’s Outsiders, “those without secure employment, Insiders, “those with secure employment” and the Upscale group, “employers, the upper middle class, and the business and financial community” (Rudea, 2007). However, the degree and preservation of Macron’s reform plans are threatened by Insiders who have been stripped of employee protections.
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.