The Use and Usefulness of Big Data in Finance: Evidence from Financial Analysts

Alternative data have become a new source of information for investors. This paper examines how this development is reshaping the role of sell-side analysts. Employing textual analysis of analysts’ written reports, we show that analysts themselves have begun to adopt alternative data in their analyses. Furthermore, we find that when analysts report drawing from alternative data they generate more accurate earnings forecasts, and their brokerages subsequently receive higher amounts in trading commissions from investors, suggesting that investors value the adoption of alternative data by analysts. This paper was accepted by Kay Gieseke, finance. Funding: This research is supported by NTU-Singapore under its startup grant program. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.02659 .

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Publication Details

Journal
Management Science
Published
2024-09-17
DOI
https://doi.org/10.1287/mnsc.2022.02659
Citations
42
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
18.33
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article

The Use and Usefulness of Big Data in Finance: Evidence from Financial Analysts

Feng Chi, Yaping Zheng, Byoung-Hyoun Hwang
42 citations
Management Science
Financial Markets and Investment Strategies
18.33
article

The Use and Usefulness of Big Data in Finance: Evidence from Financial Analysts

Feng Chi, Yaping Zheng, Byoung-Hyoun Hwang
article en
42 citations

Abstract

Alternative data have become a new source of information for investors. This paper examines how this development is reshaping the role of sell-side analysts. Employing textual analysis of analysts’ written reports, we show that analysts themselves have begun to adopt alternative data in their analyses. Furthermore, we find that when analysts report drawing from alternative data they generate more accurate earnings forecasts, and their brokerages subsequently receive higher amounts in trading commissions from investors, suggesting that investors value the adoption of alternative data by analysts. This paper was accepted by Kay Gieseke, finance. Funding: This research is supported by NTU-Singapore under its startup grant program. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.02659 .

Management ScienceVol. 71(6)
University of Alberta (CA), Nanyang Technological University (SG), Cornell University (US), Nanyang Polytechnic (SG), SC Johnson (United States) (US)
Openalex Percentile: Top 0%
Financial Markets and Investment Strategies
18.33
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