Michael A. Klump Endowed Professor of Finance
Leeds School of Business, University of Colorado Boulder
Professor at University of Colorado Boulder's Leeds School of Business Since 2013
Joining Penn State Smeal College of Business as Smeal Chair Professor · June 2026
I study how households, investors, and firms use financial products and make financial decisions. My recent work examines the role of emerging technologies — particularly social media and large language models — in shaping behavior, belief formation, and ideological expression in financial markets.
The best way to reach me is by email. I believe junior scholars bring essential new ideas to research, and that feedback and exposure are invaluable to their development. I am always happy to hear from them.
Email: tony [dot] lastname [at] gmail [dot] com
Affiliation (from June 2026):
Smeal Chair Professor of Finance
Smeal College of Business, Penn State University
Data and code shared as products of my research. Please cite the associated paper if you use these resources.
Firm-Day Attention and Sentiment Data (2012–2021)
First principal components of attention and sentiment from Twitter, StockTwits, and Seeking Alpha.
"The Social Signal" — Journal of Financial Economics, Vol. 158 (August 2024)
Firm-Day Investor Disagreement Data (2010–2021)
Daily disagreement measures derived from social media. Available in Stata, text, and RData formats.
"Why Don't We Agree?" — Journal of Finance, Vol. 75 (2020) · "Investor Disagreement: Daily Measures" (2023)
Echo Chambers Data (January 2013 – June 2020)
Stock-daily information siloing and self-stamped disagreement measures.
"Echo Chambers" — Review of Financial Studies, Vol. 36, No. 2 (February 2023)
Partisan Investor Beliefs Data (January 2017 – June 2020)
Daily sentiment comparing Republican investors versus others. Includes README, .dta, .csv, and .RData files.
"Does Partisanship Shape Investor Beliefs?" — Review of Asset Pricing Studies, Vol. 10, No. 4 (December 2020)
Text-Based Innovation Data (1990–2010)
Firm-level innovation measures derived from 10-K filings, plus innovation word lists. Word lists should be validated when applied to corpora beyond the original sample.
"A Text-Based Analysis of Corporate Innovation" — Management Science, Vol. 67, No. 7 (July 2021)
Native American Reservation–County Crosswalk Files
Geographic crosswalks for reservations with Native American populations exceeding 250 in 1989.
"Law and Finance Matter" — Review of Financial Studies, Vol. 30, No. 3 (March 2017)
Native American Casinos and Courts Data
Reservation-level data on casino presence, size, and tribal court development as of 1985.
"Institutions and Casinos" — Journal of Law and Economics, Vol. 53, No. 4 (November 2010)
Two-Step Assortative Matching Code
R code implementing a matching estimator to correct for selection bias, with Monte Carlo exercises.
"Assortative Matching and Reputation in the Market for First Issues" — Management Science, Vol. 67, No. 4 (April 2021)