Anastassia Fedyk
Photo Credit: Jim Block

Research Expertise and Interest

finance, behavioral economics, labor and finance, role of information technology in financial markets

Research Description

Anastassia Fedyk is an Assistant Professor of Finance and a Barbara and Gerson Bakar Faculty Fellow at the Haas School of Business at UC Berkeley. Her research lies at the intersection of behavioral finance and innovation, with a specific emphasis on using big data techniques to understand firm news and valuations. Most recently, her research has focused on economics of AI artificial intelligence (AI), studying how AI technology affects firms and workers. Her work documents that when firms invest in AI, they experience greater growth fueled by product innovation, but employment also increases, especially for highly educated technical workers. Anastassia holds a Ph.D. in Business Economics from Harvard University and a B.A. in Mathematics with honors from Princeton University. She serves as the Chief Economist at the AI for Good Foundation and is a co-founder of Economists for Ukraine.

In the News

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
July 16, 2023
Tetyana Balyuk, Anastassia Fedyk

This column analyses the determinants and consequences of firm exit from Russia, focusing in particular on US-traded firms. 

December 19, 2022
Joseph Brazel

A study recently published in the Review of Accounting Studies demonstrates that the use of artificial intelligence is significantly improving the quality and efficiency of financial statement audits, as well as displacing audit professionals.

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July 22, 2021
Adi Gaskell

New research from UC Berkeley, Haas School of Business explores the resilience of bank employees in the wake of the Lehman Brothers bankruptcy. 

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August 29, 2016

Hedge fund managers’ news consumption can translate to trading volumes and return dynamics, according to a Harvard University study.

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