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Anastassia Fedyk

Anastassia Fedyk

· Assistant ProfessorVerified

University of California, Berkeley · Fintech

Active 2014–2026

h-index11
Citations741
Papers2417 last 5y
Funding
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About

Anastassia Fedyk is an Assistant Professor of finance 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. She studies how information from financial news and individual employment records influences asset prices and explores the impact of firms’ investments in technology and skilled human capital. Anastassia holds a PhD in Business Economics from Harvard University and a BA in Mathematics with honors from Princeton University. Prior to pursuing her academic career, she was a researcher and portfolio manager at Goldman Sachs Asset Management.

Research topics

  • Business
  • Economics
  • Industrial organization
  • Marketing
  • Accounting
  • Economic growth
  • Microeconomics

Selected publications

  • Replication files for -- AI and Perception Biases in Investments: An Experimental Study

    Mendeley Data · 2026-01-30

    datasetOpen access1st authorCorresponding

    This file contains code and data for the full replication of "AI and Perception Biases in Investments: An Experimental Study". The readme describes the R and python packages needed to run the code, and some additional information about the tables included in the R and Python code files.

  • Replication package accompanying "Rating public procurement markets"

    Mendeley Data · 2026-05-05

    datasetOpen access

    This replication package contains the code necessary to reproduce all tables and figures in the paper “Rating Public Procurement Markets.” We also provide some of the raw data used in the analysis and pseudo data files where most fields have been replaced with random values to comply with restrictions on data sharing. See the provided README for additional details.

  • Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective

    Open MIND · 2026-02-12

    datasetSenior author

    File: Replication Package Paper Title: Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective Authors: Nicolas Sarullo (University of California, Berkeley) Prof. Yuriy Gorodnichenko (University of California, Berkeley) Prof. Tatyana Deryugina (University of Illinois, Urbana-Champaign) James Hodson (AI for Good) Ilona Sologoub (VoxUkraine) Prof. Anastassia Fedyk (University of California, Berkeley) Date: February 11, 2026 Overview: This replication package provides all publicly available data along with code and instructions required to reproduce the empirical results of the research paper. The data is sourced from numerous household and individual level country survey data which are harmonized for analysis. These data are utilized to construct an objective measure of corruption in the public sector for a broad spectrum of countries using consumption-income gaps for public sector workers relative to private sector workers. The package was created to allow independent verification of the statistical findings reported in the paper. Processed and shuffled data are included for confidential sources in order to fulfill confidentiality agreements and minimize user friction.

  • Do Consulting Services Affect Audit Quality? Evidence from the Workforce

    The Accounting Review · 2026-02-03

    articleOpen access1st authorCorresponding

    ABSTRACT This paper investigates how consulting services affect audit quality, from the perspective of knowledge- and expertise-sharing between employees. Semistructured interviews with 16 audit partners reveal that consulting expertise is used in 60–80 percent of audit engagements, with the main rationale for such collaboration being knowledge-sharing and improved audit quality. We leverage a comprehensive office-level dataset of employment profiles covering 86 percent of all employees at large U.S. public accounting firms to systematically investigate the effect of consulting employees on audit quality. We document that a one standard deviation increase in the share of consulting employees in an office results in a 2.6 percentage point reduction in restatements (a decrease of 19 percent relative to the baseline). This effect is strongest when consulting employees have skills complimentary to auditors, e.g., technical and human resources skills, and when consultants have specific industry expertise in the same industry as the audit client. Data Availability: Data from common sources, such as Audit Analytics, can be purchased from the providers. Data on firm-level measures of workforce characteristics and skills are available from the authors upon request, conditional on approval from the data provider (Cognism). JEL Classifications: D22; E24; J24; M42.

  • The Role of Communication Skills in Auditing: Implications for Audit Quality, Fees, and Career Progression

    SSRN Electronic Journal · 2026-01-01

    preprintOpen access1st authorCorresponding
  • A HIMARS in the Hand is Worth Two in the Bush

    Mendeley Data · 2026-03-31

    datasetOpen access

    Replication package for the paper "A HIMARS in the Hand is Worth Two in the Bush

  • Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective

    Mendeley Data · 2026-02-12

    datasetOpen accessSenior author

    File: Replication Package Paper Title: Measuring Corruption from Household Income and Consumption Micro-Data: An International Perspective Authors: Nicolas Sarullo (University of California, Berkeley) Prof. Yuriy Gorodnichenko (University of California, Berkeley) Prof. Tatyana Deryugina (University of Illinois, Urbana-Champaign) James Hodson (AI for Good) Ilona Sologoub (VoxUkraine) Prof. Anastassia Fedyk (University of California, Berkeley) Date: February 11, 2026 Overview: This replication package provides all publicly available data along with code and instructions required to reproduce the empirical results of the research paper. The data is sourced from numerous household and individual level country survey data which are harmonized for analysis. These data are utilized to construct an objective measure of corruption in the public sector for a broad spectrum of countries using consumption-income gaps for public sector workers relative to private sector workers. The package was created to allow independent verification of the statistical findings reported in the paper. Processed and shuffled data are included for confidential sources in order to fulfill confidentiality agreements and minimize user friction.

  • Replication package accompanying "Rating public procurement markets"

    Mendeley Data · 2026-04-20

    datasetOpen access

    This replication package contains the code necessary to reproduce all tables and figures in the paper “Rating Public Procurement Markets.” We also provide some of the raw data used in the analysis and pseudo data files where most fields have been replaced with random values to comply with restrictions on data sharing. See the provided README for additional details.

  • Replication package accompanying "Rating public procurement markets"

    Mendeley Data · 2026-05-05

    datasetOpen access

    This replication package contains the code necessary to reproduce all tables and figures in the paper “Rating Public Procurement Markets.” We also provide some of the raw data used in the analysis and pseudo data files where most fields have been replaced with random values to comply with restrictions on data sharing. See the provided README for additional details.

  • A HIMARS in the Hand is Worth Two in the Bush

    Mendeley Data · 2026-03-31

    datasetOpen access

    Replication package for the paper "A HIMARS in the Hand is Worth Two in the Bush

Frequent coauthors

  • James Hodson

    19 shared
  • Tania Babina

    Centre for Economic Policy Research

    6 shared
  • Ulrike Malmendier

    University of California, Berkeley

    4 shared
  • Alex Xi He

    4 shared
  • Tatiana Fedyk

    University of San Francisco

    3 shared
  • Natalya V. Khimich

    Drexel University

    3 shared
  • James Hodson

    University Hospitals Birmingham NHS Foundation Trust

    2 shared
  • Tetyana Balyuk

    Emory University

    2 shared

Labs

  • UC Berkeley Haas - Anastassia Fedyk LabPI

Education

  • Ph.D., Business Economics

    Harvard University

    2018
  • B.A., Mathematics

    Princeton University

    2010

Awards & honors

  • Hillcrest Behavioral Finance Award, Finalist (2019)
  • Northern Finance Association, Best Paper on Market Microstru…
  • Carlsberg Foundation Special Prize for Young Scholar at the…
  • Northern Finance Association, Best Paper on Long-Term Invest…
  • FMA Napa Conference, Best Paper Award (2018)
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