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Experimental research on regulations for high-frequency traders

Research Project

Project/Area Number 19H01509
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 07060:Money and finance-related
Research InstitutionWaseda University

Principal Investigator

Yamamoto Ryuichi  早稲田大学, 政治経済学術院, 教授 (50721958)

Co-Investigator(Kenkyū-buntansha) 船木 由喜彦  早稲田大学, 政治経済学術院, 教授 (50181433)
小川 一仁  関西大学, 社会学部, 教授 (50405487)
小倉 義明  早稲田大学, 政治経済学術院, 教授 (70423043)
Project Period (FY) 2019-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2023: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2022: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2021: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2020: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2019: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
KeywordsExperimental finance / High-frequency trading / Market microstructure / 高頻度取引 / 経済実験 / 株式市場 / 実験経済 / 群衆行動 / 高頻度トレーダー / 規制
Outline of Research at the Start

本研究は経済実験を行うことで株価暴落の発生原因を投資家の群衆行動に注目し解明する。特に高頻度トレーダーが持つinformation advantage、取引speed advantage、複数の取引システムの価格情報を一度に観察し最も利益性の高いシステムを選んで取引できるlocational advantageの3つの規制可能なadvantageに注目し、繰り返しの実験によりadvantageごとに群衆行動そして群衆行動から暴落が起こる条件を特定する。そしてadvantageごと規制の数量的効果を把握し事前的事後的にも政策効果の評価可能な理論モデルを世界中の研究者、政策立案者に対し提示する。

Outline of Final Research Achievements

This research project investigates the sources of stock market crash by laboratory experiments on high-frequency trading. Before conducting experiments on high-frequency trading, we conducted research on high-frequency trading by using the high-frequency dataset in the Japanese stock market. We also conducted experimental research on trading mechanisms for improving price discovery in the stock market. As our research achievements explained in details in the attached document, we finished writing several research papers, and made presentations at several international conferences and published our results to several international journals.

Academic Significance and Societal Importance of the Research Achievements

株式市場での高頻度取引や取引メカニズムに対する規制についての議論が各国で行われてるが、その規制に関する体系的な学術的研究がないため直接的な規制を課すことは難しい状況である。本研究は繰り返しの実験や実証研究を行う結果、実際の人間行動や高頻度データを観察・分析することにより政策の効果を数量的に確認することができる。本研究成果をもとに、政策効果を事前的・事後的にも評価可能な理論モデルを構築し、高頻度取引や取引メカニズムに対して採るべき政策案を世界中の研究者そして市場安定化政策を考える政策立案者に対し提供することができる。このような研究を世界に先駆けて行うことは、大変に意義のあることである。

Report

(6 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (20 results)

All 2024 2023 2022 2021 2020 Other

All Journal Article (6 results) (of which Int'l Joint Research: 4 results,  Peer Reviewed: 6 results) Presentation (13 results) (of which Int'l Joint Research: 7 results,  Invited: 3 results) Remarks (1 results)

  • [Journal Article] Overnight earnings announcements and preopening price discovery2024

    • Author(s)
      Xijuan Xiao and Ryuichi Yamamoto
    • Journal Title

      Japan and the World Economy

      Volume: 40 Pages: 101249-101249

    • DOI

      10.1016/j.japwor.2024.101249

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Realized volatility and tick size: a market microstructure approach2024

    • Author(s)
      Xijuan Xiao and Ryuichi Yamamoto
    • Journal Title

      International Review of Economics and Finance

      Volume: 89 Pages: 410-426

    • DOI

      10.1016/j.iref.2023.07.109

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Order submission, information asymmetry, and tick size2022

    • Author(s)
      Hongyu Zhu and Ryuichi Yamamoto
    • Journal Title

      Pacific-Basin Finance Journal

      Volume: 74 Pages: 101801-101801

    • DOI

      10.1016/j.pacfin.2022.101801

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Predictor choice, investor types, and the price impact of trades on the Tokyo Stock Exchange2022

    • Author(s)
      Ryuichi Yamamoto
    • Journal Title

      Computational Economics

      Volume: 59 Issue: 1 Pages: 325-356

    • DOI

      10.1007/s10614-020-10084-4

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report 2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Limit order submission risks, order choice, and tick size2020

    • Author(s)
      Ryuichi Yamamoto
    • Journal Title

      Pacific-Basin Finance Journal

      Volume: 59 Pages: 101261-101261

    • Related Report
      2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Price discovery, order submission, and tick size during preopen period2020

    • Author(s)
      Xijuan Xiao and Ryuichi Yamamoto
    • Journal Title

      Pacific-Basin Finance Journal

      Volume: 63 Pages: 101428-101428

    • Related Report
      2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] Call auction designs for price discovery2024

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      JSPS core to core CEFM Kyoto Workshop 2024
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Call auction designs for price discovery2024

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      ワークショップ 証券市場の諸問題
    • Related Report
      2023 Annual Research Report
  • [Presentation] Call auction designs for price discovery2023

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      CEF, 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Call auction designs for price discovery2023

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      International Workshop on Experimental Economics 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] High-frequency herding and stock prices2023

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      FEBS (Greece)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] High-frequency technical analysis and systemic risk indicators2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      日本証券経済研究所
    • Related Report
      2021 Annual Research Report 2020 Annual Research Report
    • Invited
  • [Presentation] High-frequency technical analysis and systemic risk indicators2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      Computational Economics and Finance (CEF)
    • Related Report
      2021 Annual Research Report 2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] High-frequency technical analysis and systemic risk indicators2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      Computational and Financial Econometrics (CFE)
    • Related Report
      2021 Annual Research Report 2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] High-frequency technical analysis and systemic risk indicators2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      高頻度データコンファレンス
    • Related Report
      2021 Annual Research Report 2020 Annual Research Report
    • Invited
  • [Presentation] Systemic risk indicators and high-frequency technical analysis2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      日本証券経済研究所
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] Systemic risk indicators and high-frequency technical analysis2021

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      Computational Economics and Finance (CEF)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] High-frequency technical analysis and systemic risk indicators2020

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      日本ファイナンス学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Systemic risk indicators and high-frequency technical analysis2020

    • Author(s)
      Ryuichi Yamamoto
    • Organizer
      日本ファイナンス学会
    • Related Report
      2019 Annual Research Report
  • [Remarks] 山本竜市詳細情報

    • URL

      https://w-rdb.waseda.jp/html/100001226_ja.html

    • Related Report
      2021 Annual Research Report 2020 Annual Research Report

URL: 

Published: 2019-04-18   Modified: 2025-01-30  

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