I am a PhD Candidate at the Wharton School at the University of Pennsylvania.
My research interests include innovation, macro-finance, supply chains, and networks.
I am on the 2025-2026 academic job market.
Email: tviratyo[at]wharton.upenn.edu
This paper introduces a new measure of technology diffusion—the average age of technology cited by firms or patents—to capture the speed at which ideas propagate across firms. I document that the speed of technology diffusion has declined over the past two decades: the average age of a patent’s technology base has risen from 4.5 years in 1998 to between 6 and 6.5 years in the past decade. In the cross-section, I show that greater firm-level R&D investment predicts faster diffusion: patents built on newer technology command a higher market value and have greater technological value (as measured by citations), and firms that file patents built on newer technology are more valuable. Consistent with labor market movements driving technology diffusion, I exploit state-level variation in the removal of inevitable disclosure doctrines and find that the resulting increase in labor market mobility was associated with greater technology diffusion across competing firms within the same geographical area but reduced diffusion within firms, suggesting that firms responded to the threat of trade secret leakage by limiting internal information spillovers. The concurrent decline in labor market mobility observed in the U.S. economy may be an important contributor to the slowdown in technology diffusion and productivity growth observed in recent decades.
The Unprecedented Stock Market Reaction to COVID-19
The Review of Asset Pricing Studies, 2020.
(joint with Scott Baker, Nicholas Bloom, Steven J. Davis, Kyle Kost, and Marco Sammon)
NBER version
No previous infectious disease outbreak, including the Spanish Flu, has affected the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with respect to large daily stock market moves back to 1900 and with respect to overall stock market volatility back to 1985. We also evaluate potential explanations for the unprecedented stock market reaction to the COVID-19 pandemic. The evidence we amass suggests that government restrictions on commercial activity and voluntary social distancing, operating with powerful effects in a service-oriented economy, are the main reasons the U.S. stock market reacted so much more forcefully to COVID-19 than to previous pandemics in 1918–1919, 1957–1958, and 1968.
Jules van Binsbergen (Co-Chair)
The Nippon Life Professor in Finance
The Wharton School, University of Pennsylvania
João Gomes
Howard Butcher III Professor of Finance
The Wharton School, University of Pennsylvania
Jessica Wachter
Dr. Bruce I. Jacobs Professor in Quantitative Finance
The Wharton School, University of Pennsylvania
Winston Dou (Co-Chair)
Associate Professor of Finance
The Wharton School, University of Pennsylvania
Tom Winberry
Assistant Professor of Finance
The Wharton School, University of Pennsylvania
Jacobs Levy Equity Management Dissertation Fellowship in Quantitative Finance