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Eyub Yegen

Personal Details

First Name:Eyub
Middle Name:
Last Name:Yegen
Suffix:
RePEc Short-ID:pye86
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Affiliation

Finance
Rotman School of Management
University of Toronto

Toronto, Canada
http://www.rotman.utoronto.ca/FacultyAndResearch/AcademicAreas/Finance.aspx
RePEc:edi:dftorca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Marianne Bertrand & Matilde Bombardini & Raymond Fisman & Francesco Trebbi & Eyub Yegen, 2023. "Investing in Influence: Investors, Portfolio Firms, and Political Giving," NBER Working Papers 30876, National Bureau of Economic Research, Inc.

Articles

  1. Zhu, Min & Atri, Said & Yegen, Eyub, 2016. "Are candlestick trading strategies effective in certain stocks with distinct features?," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 116-127.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marianne Bertrand & Matilde Bombardini & Raymond Fisman & Francesco Trebbi & Eyub Yegen, 2023. "Investing in Influence: Investors, Portfolio Firms, and Political Giving," NBER Working Papers 30876, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jaime Arellano-Bover & Marco De Simoni & Luigi Guiso & Rocco Macchiavello & Domenico J. Marchetti & Mounu Prem, 2024. "Mafias and Firms," CESifo Working Paper Series 11043, CESifo.
      • Arellano-Bover, Jaime & De Simoni, Marco & Guiso, Luigi & Macchiavello, Rocco & Marchetti, Domenico J. & Prem, Mounu, 2024. "Mafias and Firms," SocArXiv sr6ep, Center for Open Science.
      • Arellano-Bover, Jaime & De Simoni, Marco & Guiso, Luigi & Macchiavello, Rocco & Marchetti, Domenico J. & Prem, Mounu, 2024. "Mafias and Firms," IZA Discussion Papers 16893, Institute of Labor Economics (IZA).

Articles

  1. Zhu, Min & Atri, Said & Yegen, Eyub, 2016. "Are candlestick trading strategies effective in certain stocks with distinct features?," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 116-127.

    Cited by:

    1. Piyapas Tharavanij & Vasan Siraprapasiri & Kittichai Rajchamaha, 2017. "Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand," SAGE Open, , vol. 7(4), pages 21582440177, October.
    2. U, JuHyok & Lu, PengYu & Kim, ChungSong & Ryu, UnSok & Pak, KyongSok, 2020. "A new LSTM based reversal point prediction method using upward/downward reversal point feature sets," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    3. Alhashel, Bader S. & Almudhaf, Fahad W. & Hansz, J. Andrew, 2018. "Can technical analysis generate superior returns in securitized property markets? Evidence from East Asia markets," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 92-108.

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Co-authorship network on CollEc

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