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Impact of Social Media Sentiment on Cryptocurrency Price Movements: A Deep Learning Approach
No full textThis research investigates the relationship between social media sentiment and cryptocurrency price movements, with a focus on Bitcoin (BTC) and Ethereum (ETH). Utilizing state-of-the-art transformer models—BERT and RoBERTa—we analyze over 1.2 million social media posts collected from platforms such as Twitter, Reddit, Telegram, and Discord during 2022–2023. The results reveal statistically significant correlations between sentiment shifts and subsequent price movements, with higher correlations during bull markets (0.45–0.48) and lower during bear markets (0.22–0.28). We observe a typical 2–3 day lag between sentiment changes and price reactions. Sentiment classification achieved high accuracy rates (BERT: 85.1%, RoBERTa: 86.7%), outperforming simpler lexicon and time-series methods. The study further analyzes lag effects, volatility clustering, market regime behaviors, and cross-platform sentiment propagation. We demonstrate that social media sentiment serves not only as a reflection of market mood but also as a predictive signal for asset price dynamics. Practical implications include enhanced trading strategies, improved risk management, and tools for detecting market manipulation. Regulatory relevance is also highlighted through the development of sentiment-based monitoring tools to support market surveillance. Overall, the study contributes a robust deep learning framework for understanding and leveraging the influence of social sentiment in the rapidly evolving cryptocurrency landscape
Labor Markets in the Classroom: Marginal Revenue Product in Major League Baseball
No full textThis paper presents an easily understood example of a labor market that is useful in introducing how wages and rents are determined, using professional baseball as the context. The mechanics of a competitive labor market are outlined and an empirical analysis of the major league baseball (MLB) labor market is described. An example out-of-class exercise investigating how salaries are determined is also presented. Additionally, sample topics are provided for in-class discussion at various levels of undergraduate economic instruction
Academic Achievement in Large Lectures: Analyzing the Effects of Attendance Rates and Class Motivation on Economics Exam Grades
No full textResearch on the impact of class size on student motivation and performance can be important for university instructors. This paper investigates the influence of class size on exam performance and attendance rates. Empirical analyses show that students in the larger section of microeconomic principles taught by the same instructor did not perform significantly worse on exams with the exception of the cumulative final. This is attributed to a significant drop in attendance at the end of the semester. Blinder-Oaxaca style decompositions of the residual effects reveal that the negative effects of large lectures can be greater for lower achieving students
Minutes, Crummer Graduate School Special Meeting on the EDBA program, Friday, May 02, 2025
No full textTeaching in Public Choice Courses How Direct Democracy Can Influence Voting Behavior
No full textThis study seeks to expand the scope of that portion of Public Choice courses that involves voting behavior. The study broadens the interpretation of the “rational voter model” so as to include the potential effects of “direct democracy” on the voter participation rate. Direct democracy is assumed here to take three forms: statewide initiatives, statewide popular referenda, and statewide legislative referenda. This study presents the hypothesis that greater numbers of such initiatives and/or referenda may increase voter turnout because they may elevate the expected gross (and hence net) benefits of voting by empowering voters, despite any accompanying information costs that may tend to elevate the expected gross costs of voting. The empirical evidence to address the net overall effect of these forms of direct democracy on voter turnout is provided
Introducing the Effective Marginal Tax Rate in Introductory Macroeconomics
No full textIntroductory macroeconomics textbooks rarely cover the topic of marginal tax rates in sufficient depth to make it meaningful to students. We offer a simple method of introducing the concept of effective marginal tax rate that is interactive and will engage students to analyze the importance of including state income tax and FICA taxes. Our exercise will help students to observe the behavior of the effective marginal tax rate as income level increases. We also introduce an international component to the topic by comparing effective marginal tax rates across a group of socially diverse countries
The Pedagogy of Financial Leverage: Using a Hook to Improve Learning
No full textThe past few years have seen the emergence of a distinct literature concerned with the pedagogy of finance. One area of particular interest is the effective teaching of the concept of financial leverage. This paper presents an overview of some considerations pertaining to the initial presentation of financial leverage to the undergraduate business student. The paper begins by providing a review of the most common teaching approaches as evidenced by prominent introductory finance textbooks. Next, an alternative streamlined initial presentation is discussed which can serve as an effective “hook” when the concept of financial leverage is presented
Evaluating Preference and Reinforcer Assessments for Distinct Social Interactions
Get PDFThe present study evaluated the efficacy of different assessments to assess reinforcer value and order of preference in regard to social interactions. A key component in this study was to expand on forms of social attention that have not typically been assessed, specifically non-physical. The lack of research in this area has led to an extension in understanding the effects of social attention in terms of reinforcement, as well as determining the optimal methods to do so. The researchers conducted a sequence of assessments across participants: concurrent operant reinforcer assessment, social interaction preference assessment, and multiple stimulus without replacement preference assessment. This study’s aim was to bring awareness to literature regarding the use of preference and reinforcer assessments, emphasize the significance of social attention for individuals with autism spectrum disorder, and highlight notable characteristics in the methodological process. The results show that the assessments are consistent among the hierarchies produced from both reinforcer and preference assessments with significant distinctions in consistency and efficacy
