When Crowds Aren’t Wise: Social Media, Noise Trading, and Price Efficiency, by Edna Lopez Avila, Charles Martineau, and Jordi Mondria
Scheduled to Discuss at Financial Management Association Annual Meeting 2024 Conference, Grapevine, TX
CV
Education
- Ph.D. in Finance (Support Major: Information Systems), University of South Florida, 2024
- M.S. in Business Analytics & Information Systems, University of South Florida, 2019
- M.S. in Finance (Minor: Business Analytics & Information Systems), University of South Florida, 2018
- B.S. in Electrical Engineering, Wuhan University of Science and Technology, 2014
Academic Experience
Visiting Assistant Professor
University of Arkansas, Fayetteville, AR
Aug 2024 - Present
- Duties include teaching FINN36003 Corporate Finance (3 Sections).
- Supervisor: Alexey Markov
Instructor
University of South Florida, Tampa, FL
Jan 2022 - Aug 2024
- Duties include teaching undergraduate students in various subjects:
- FIN 4461, Summer 2024: Financial Statement Analysis (Teaching Evaluation: Overall Grade 4.5/5.0)
- FIN 4504, Spring 2024: Principles of Investments (Teaching Evaluation: Overall Grade 4.4/5.0)
- FIN 3403, Spring 2023: Principles of Finance
- FIN 4414, Fall 2022: Advanced Corporate Finance
- FIN 3403, Fall 2022: Principles of Finance
- FIN 4461, Spring 2022: Financial Statement Analysis
- Supervisor: Jared Williams
Research Assistant
University of South Florida, Tampa, FL
Jan 2019 - Dec 2021
- In 2019, I conducted research assistant work involving data collection and cleaning for the paper “Non-Deal Roadshows, Informed Trading, and Analyst Conflicts of Interest”, which was subsequently published in the Journal of Finance in 2022.
- Supervisor: Daniel Bradley, Jared Williams
Teaching Assistant
University of South Florida, Tampa, FL
Jan 2017 - Jan 2019
- Duties included grading assignments, exams, and providing constructive feedback.
- Supervisor: Jianping Qi
Skills
- Problem Solving: Strong analytical and critical thinking abilities to tackle complex issues.
- Coding:
- Python: Proficient in data analysis, scripting, and automation.
- Stata: Experienced in statistical analysis and econometrics.
- C++: Skilled in object-oriented programming and algorithm development.
- Cloud Computing with Big Data: Hands-on experience with cloud platforms and big data technologies.
- Machine Learning/Deep Learning: Knowledgeable in building and deploying machine learning models.
Publications
Publications
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Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls
Scheduled to Present at Financial Management Association Annual Meeting 2024 Conference, Grapevine, TX
AI-Powered Trading, Algorithmic Collusion, and Price Efficiency.
Discussed at Florida Finance Conference, Seoul, Korea
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls.
Presented at Pacific/Asia FMA 2024 Conference, Seoul, Korea
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls
Presented at FMA Annual Meeting 2023 Conference New Idea Session, Chicago, IL
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls.
Presented at Florida Finance Conference, Miami, FL
Place Your Bets? The Market Consequences of Investment Research on Reddit’s Wallstreetbets. with Daniel Bradley, Jan Hanousek, Russell Jame
Presented at Financial Management Association Annual Meeting, Altlanta, GA
Trading Ahead of the Disclosure: Cybersecurity Breaches. by Svetlana Petrova and Andy Naranjo
Discussed at Financial Management Association Annual Meeting, Altlanta, GA
Does Main Street Benefit from What Benefits Wall Street? by Andra Ghent and Sean J. Flynn, Jr.
Discussed at Southern Finance Conference Annual Meeting, Key West, FL
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Talks
Talks
When Crowds Aren’t Wise: Social Media, Noise Trading, and Price Efficiency, by Edna Lopez Avila, Charles Martineau, and Jordi Mondria
Scheduled to Discuss at Financial Management Association Annual Meeting 2024 Conference, Grapevine, TX
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls
Scheduled to Present at Financial Management Association Annual Meeting 2024 Conference, Grapevine, TX
AI-Powered Trading, Algorithmic Collusion, and Price Efficiency.
Discussed at Florida Finance Conference, Seoul, Korea
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls.
Presented at Pacific/Asia FMA 2024 Conference, Seoul, Korea
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls
Presented at FMA Annual Meeting 2023 Conference New Idea Session, Chicago, IL
Measuring Information Quality by Topic Attention Divergence: Evidence from Earnings Calls.
Presented at Florida Finance Conference, Miami, FL
Place Your Bets? The Market Consequences of Investment Research on Reddit’s Wallstreetbets. with Daniel Bradley, Jan Hanousek, Russell Jame
Presented at Financial Management Association Annual Meeting, Altlanta, GA
Trading Ahead of the Disclosure: Cybersecurity Breaches. by Svetlana Petrova and Andy Naranjo
Discussed at Financial Management Association Annual Meeting, Altlanta, GA
Does Main Street Benefit from What Benefits Wall Street? by Andra Ghent and Sean J. Flynn, Jr.
Discussed at Southern Finance Conference Annual Meeting, Key West, FL
Teaching
Teaching
Service and leadership
- Currently signed in to 43 different slack teams