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Photo of Nitish R. Sinha

Nitish R. Sinha

Group Manager Capital Markets Section Research and Statistics
202-973-6916
[email protected]

Education

  • Ph.D., Finance, Robert H Smith School of Business, University of Maryland, 2010
  • M.B.A., Management, Indian Institute of Management, Ahmedabad, 2002
  • B.S., Electrical Engineering, Indian Institute of Technology, Kanpur, 1999
Current Research Topics
  • Text Analysis, Market Efficiency,
  • Treasury Rates, Forecasting
  • Special Adviser to the Board

    Board of Governors of the Federal Reserve System

    2021 - present
  • Group Manager

    Board of Governors of the Federal Reserve System

    2018 - present
  • Principal Economist

    Board of Governors of the Federal Reserve System

    2017 - 2018
  • Senior Economist

    Board of Governors of the Federal Reserve System

    2015 - 2017
  • Economist

    Board of Governors of the Federal Reserve System

    2013 - 2015
  • Assistant Professor

    College of Business Administration, University of Illinois at Chicago

    2010 - 2013
  • Using Generative AI Models to Understand FOMC Monetary Policy Discussions
    Wendy Dunn, Ellen E. Meade, Nitish Ranjan Sinha, and Raakin Kabir
    FEDS Notes (2024)
    https://doi.org/10.17016/2380-7172.3678
  • The power of narrative sentiment in economic forecasts
    Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
    International Journal of Forecasting (2023)
    https://doi.org/10.1016/j.ijforecast.2022.04.008
  • Are Real Assets Owners Less Averse to Inflation? Evidence from Consumer Sentiments and Inflation Expectations
    Geng Li and Nitish Ranjan Sinha
    Finance and Economics Discussion Series (2023)
    https://doi.org/10.17016/FEDS.2023.058
  • A New Index to Measure U.S. Financial Conditions
    Andrea Ajello, Michele Cavallo, Giovanni Favara, William B. Peterman, John Schindler, and Nitish R. Sinha
    FEDS Notes (2023)
    https://doi.org/10.17016/2380-7172.3281
  • How sensitive is the economy to large interest rate increases? Evidence from the taper tantrum
    Nitish Sinha and Michael Smolyansky
    Finance and Economics Discussion Series (2022)
    https://doi.org/10.17016/FEDS.2022.085
  • Integrating Prediction and Attribution to Classify News
    Nelson P. Rayl and Nitish R. Sinha
    Finance and Economics Discussion Series (2022)
    https://doi.org/10.17016/FEDS.2022.042
  • A Discussion of "Text Selection"
    Nitish Ranjan Sinha
    Journal of Business & Economic Statistics (2021)
    https://doi.org/10.1080/07350015.2021.1961785
  • Corrigendum to "Evaluating the Conditionality of Judgmental Forecasts"
    Travis J. Berge, Andrew C. Chang, and Nitish R. Sinha
    International Journal of Forecasting (2021)
    https://doi.org/10.1016/j.ijforecast.2020.08.006
    See also » FRB Working Paper (2019)
  • The Power of Narratives in Economic Forecasts
    Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
    Finance and Economics Discussion Series (2020)
    https://doi.org/10.17016/FEDS.2020.001r1
  • Evaluating the Conditionality of Judgmental Forecasts
    Travis J. Berge, Andrew C. Chang, and Nitish R. Sinha
    International Journal of Forecasting (2019)
    https://doi.org/10.1016/j.ijforecast.2019.03.026
    See also » FRB Working Paper (2019)
  • What's the Story? A New Perspective on the Value of Economic Forecasts
    Steven A. Sharpe, Nitish R. Sinha, and Christopher A. Hollrah
    Finance and Economics Discussion Series (2018)
    https://doi.org/10.17016/FEDS.2017.107r1
  • News vs. Sentiment: Predicting Stock Returns from News Stories
    Steven L. Heston and Nitish R. Sinha
    Financial Analysts Journal (2017)
    https://doi.org/10.2469/faj.v73.n3.3
    See also » FRB Working Paper (2016)
  • Which Market Indicators Best Forecast Recessions?
    Travis Berge, Nitish Sinha, and Michael Smolyansky
    FEDS Notes (2016)
    https://doi.org/10.17016/2380-7172.1805
  • Underreaction to News in the US Stock Market
    Nitish Ranjan Sinha
    Quarterly Journal of Finance (2016)
    https://doi.org/10.1142/S2010139216500051
  • News versus Sentiment: Predicting Stock Returns from News Stories
    Steven L. Heston and Nitish Sinha
    Robert H. Smith School of Business Research Paper Series (2015)
    https://doi.org/10.2139/ssrn.2311310
    See also » FRB Working Paper (2016)
  • Using Big Data in Finance: Example of Sentiment-Extraction from News Articles
    Nitish Sinha
    FEDS Notes (2014)
    https://doi.org/10.17016/2380-7172.0011
  • Essays on News and Asset Prices
    Nitish Sinha
    Dissertations (University of Maryland, College Park) (2010)
Awards
  • 2012

    UIC Liautaud school of business

    Favorite MBA Professor of the year

  • 2011

    Chicago Quantitative Alliance

    Best Paper

  • 2011

    Midwest Finance Association

    Best Paper, Investments

  • 2008

    Robert H Smith School of Business, University of Maryland

    Allan N. Nash outstanding doctoral student award

  • 2017

    CFA association

    Graham and Dodd scroll for best writing in the Financial Analyst Journal

Conference Organization

  • Oct 1-2, 2019 | Washinton DC

    , Nontraditional Data, Machine Learning, and Natural Language Processing in Macroeconomics

    Program Committee

  • May 14-15, 2019 | London

    Gender and Career Progression with a focus on issues in finance, economics and central banking

    Co-organizer

Referee
  • Review of Financial Studies
  • Accounting and Business Research
  • International Journal of Forecasting
  • Journal of Empirical Finance
  • Quantitative Finance
  • Journal of Banking and Finance
  • Journal of Economic Surveys
  • Journal of Applied Economics
  • Financial Review
  • Harvard Business Cases
Professional Affiliation
  • American Finance Association
  • Financial Management Association
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Last Update: December 23, 2024