Twitter Analytics on Companies, Executives, and COVID-19
Slides from the SMU PhD Research Workshop + Information Session
Forecasting and Forensic Analytics, Fall 2023
A course using R to solve problems in accounting with data and analytics.
Machine Learning for Social Science, Fall 2023
Applied machine learning for all social science disciplines.
Demystifying Analytics, AI, and Machine Learning
This talk focuses on data analytics, AI, and machine learning, examinig different uses cases for methods. Examples include portfolio allocation using statistics, misreporting detection using machine learning, and transformer neural network applications.
Understanding Sentiment Through Financial Context, 2022
Presentation on “Understanding Sentiment Through Financial Context.”
Twitter Analytics on Companies, Executives, and COVID-19
Slides from the SMU PhD Research Workshop + Information Session
Machine Learning for Social Science, Fall 2022
Applied machine learning for all social science disciplines.
Misreporting Detection: Past to Future
This talk extends on Brown, Crowley, and Elliott (2020, JAR) by discussing time-variation in misreporting predictability and demonstrating the effectiveness of nonparametric ML-based methods for prediction.
Twitter Analytics on Companies, Executives, and COVID-19
Slides from the SMU PhD Research Workshop + Information Session
Machine Learning for Social Science, Fall 2021
Applied machine learning for all social science disciplines.
Forecasting and Forensic Analytics, Fall 2021
A course using R to solve problems in accounting with data and analytics.
Python and Machine Learning for Accounting Faculty, Summer 2021
An intensive course on machine learning using python for accounting faculty.
Leveraging Social Media for Social Science Applications (2021)
Presentation for SMU’s Second Interdisciplinary Seminar
A deep dive into Brown, Crowley, and Elliott (2020)
Summer camp lecture presented to the IIM Calcutta Summer Camp, 2021
Using Machine Learning to Detect Financial Fraud, 2021
Public lecture on “Using Machine Learning to Detect Financial Fraud.”
Text analytics, NLP, and accounting research, 2020
Presentation on textual analytics and NLP in accounting research.
Twitter Analytics on Companies, Executives, and COVID-19
Slides from the SMU PhD Research Workshop + Information Session
Forecasting and Forensic Analytics, Fall 2020
A course using R to solve problems in accounting with data and analytics.
Text analytics, NLP, and accounting research, 2020
Presentation on textual analytics and NLP in accounting research.
JAAF Symposium Discussion, 2020
Discussion of “Natural Disasters, Loan Loss Accounting and Subsequent Lending” by Chamberlain, Vijayaraghavan and Zheng.
Text analytics, NLP, and accounting research, 2019
Presentation on textual analytics and NLP in accounting research.
Forecasting and Forensic Analytics, Fall 2019
A course using R to solve problems in accounting with data and analytics.
Text analytics and accounting: Social media and fraud detection
Slides from the SMU PhD Research Workshop + Information Session
Corporate Fraud, LDA, and Econometrics — DSSG talk, 2019
Slides from my Data Science Singapore (DSSG) talk
Detecting Financial Misreporting in 2019
A brief overview of using machine learning to detect financial misreporting at scale.
What are You Saying? Using Topic to Detect Financial Misreporting, 2018
Detecting financial misreporting by leveraging the information firms wrote in their annual reports.
Discretionary Dissemination on Twitter, 2018
Research on when and how firms tweet about accounting information.
Text analytics, NLP, and accounting research, 2018
Presentation on textual analytics and NLP in accounting research.
Forecasting and Forensic Analytics, Fall 2018
A course using R to solve problems in accounting with data and analytics.
