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Ranking Analysts by Network Structural Hole

In: HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING

Author

Listed:
  • Re-Jin Guo
  • Yingda Lu
  • Lingling Xie

Abstract

This paper proposes a novel approach to rank analysts using their positions in a network constructed by peer analysts connected with overlapping firm coverage. We hypothesize that analysts occupying the network structural holes can produce higher quality equity research by a better access to their peer analysts’ wealth and diversity of information and knowledge. We report consistent empirical evidence that high-ranked analysts identified by network structural holes have greater ability to affect stock prices. Furthermore, those analysts tend to issue timely opinions, but not necessarily more accurate or consistent earnings forecasts. Analysts occupying structural holes tend to be more experienced, have a higher impact on stock prices when they work for large brokerages, and are rewarded with better career outcomes.

Suggested Citation

  • Re-Jin Guo & Yingda Lu & Lingling Xie, 2020. "Ranking Analysts by Network Structural Hole," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 31, pages 1211-1243, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811202391_0031
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    More about this item

    Keywords

    Financial Econometrics; Financial Mathematics; Financial Statistics; Financial Technology; Machine Learning; Covariance Regression; Cluster Effect; Option Bound; Dynamic Capital Budgeting; Big Data;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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