activity
20222026
collaborators

7 papers

cs.CY2026

The Cross-Section of Stock Returns and AI Exposure

Nicola Borri, Yukun Liu, Aleh Tsyvinski

We study 380 trillion tokens of realized AI consumption across more than four hundred LLMs. We build a high-frequency AI factor and show that a long-short strategy based on firms'…

econ.TH2026

Trading Frictions in Dynamic Cap-and-Trade Markets

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

Using 2.8 million EU ETS transactions and compliance records, 2005-2022, we document three facts about the world's largest carbon market: each year, 37% of regulated operators do n…

q-fin.GN2025

Cryptocurrency as an Investable Asset Class: Coming of Age

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

We organize existing empirical regularities of cryptocurrencies into seven stylized facts and analyze cryptocurrencies through the lens of empirical asset pricing. We find importan…

econ.EM2025

Higher-Order Asset Pricing Factors via Forward Selection Fama-MacBeth Regression

Nicola Borri, Denis Chetverikov, Yukun Liu +1

We show that the higher-order terms and interactions of the common sparse linear factors are significantly priced in the cross-section of equity returns. A higher-order model with…

q-fin.GN2024

Inefficiencies of Carbon Trading Markets

Nicola Borri, Yukun Liu, Aleh Tsyvinski +1

The European Union Emission Trading System is a prominent market-based mechanism to reduce emissions. While the theory is well understood, we are the first to study the whole cap-a…

q-fin.GN2024

One Factor to Bind the Cross-Section of Returns

Nicola Borri, Denis Chetverikov, Yukun Liu +1

We propose a new non-linear single-factor asset pricing model . Despite its parsimony, this model represents exactly any non-linear model with an arbit…

econ.EM2022

Weighted-average quantile regression

Denis Chetverikov, Yukun Liu, Aleh Tsyvinski

In this paper, we introduce the weighted-average quantile regression framework, , where is a dependent variable, is a vector of covariates,…