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Koike Yuta  小池 祐太

ORCIDConnect your ORCID iD *help
Researcher Number 80745290
Affiliation (Current) 2025: 東京大学, 大学院数理科学研究科, 准教授
Affiliation (based on the past Project Information) *help 2017 – 2024: 東京大学, 大学院数理科学研究科, 准教授
2016 – 2017: 首都大学東京, 社会科学研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 60030:Statistical science-related / Basic Section 07030:Economic statistics-related / Economic statistics
Except Principal Investigator
Basic Section 07030:Economic statistics-related / Basic Section 07080:Business administration-related / Basic Section 12040:Applied mathematics and statistics-related / Foundations of mathematics/Applied mathematics
Keywords
Principal Investigator
高次元データ / 高頻度データ / 漸近展開 / ブートストラップ法 / 共分散行列推定 / スマートベータ / Malliavin解析 / ネットワーク解析 / graphical Lasso / Steinの方法 … More / Cramer型の相対誤差評価 / 高次元中心極限定理 / 行列集中不等式 / ジャンプ / ファクターモデル / 多重検定 / 高次元共分散推定 / リード・ラグ / 経済統計学 / マイクロストラクチャーノイズ / 非同期観測 / 漸近理論 / マーケット・マイクロストラクチャー / リード・ラグ効果 … More
Except Principal Investigator
保険数理 / 高頻度データ / 計量ファイナンス / リスク管理 / 統計的機械学習 / デフォルト / 保証 / 担保 / 機械学習的アプローチ / 担保、保証 / ロジットモデル / 機械学習 / 回収率 / LDG / 中小企業金融 / 担保、保証データ / LGD / デフォルト後損失 / 企業財務データ / 信用リスク / 非正規分布 / 統計的漸近理論 / 極限定理 / レヴィノイズ / 確率過程の統計学 / バックテスト / 経済統計学 / 死亡率予測 / 統計的極値理論 / リスク尺度 / コピュラ / 接合関数 / リスク計測 / ジャンプ型確率過程 / 初期到達分布 / ジャンプ型拡散過程 / 確率微分方程式による死亡率予測モデリング / ある点過程の周辺尤度解析とモデル選択 / ウェーブレット解析 / 先行遅行分析 / 初期到達時刻分布 / セミマルチンゲールの期待値汎関数 / 計算統計 / 統計数学 / 流動性 / リード・ラグ関係 / 漸近統計 / ファクターモデル / リード・ラグ分析 / 高次元共分散推定 / 漸近理論 / 確率過程 / 確率微分方程式 / 数理統計学 Less
  • Research Projects

    (8 results)
  • Research Products

    (159 results)
  • Co-Researchers

    (13 People)
  •  High-dimensional bootstrap and asymptotic expansionPrincipal Investigator

    • Principal Investigator
      小池 祐太
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      The University of Tokyo
  •  Innovative development of statistical and machine learning approach focusing on the evaluation of financial and actuarial risk

    • Principal Investigator
      塚原 英敦
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Seijo University
  •  Deepening and developing statistical theory for dependent data based on Levy noise

    • Principal Investigator
      増田 弘毅
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 12040:Applied mathematics and statistics-related
    • Research Institution
      The University of Tokyo
      Kyushu University
  •  Estimating the repayment capacity of the default company based on the credit information of multiple banks and developing its machine learning method

    • Principal Investigator
      山下 智志
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07080:Business administration-related
    • Research Institution
      The Institute of Statistical Mathematics
  •  Statistical analysis of high-dimensional high-frequency dataPrincipal Investigator

    • Principal Investigator
      Koike Yuta
    • Project Period (FY)
      2019 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      The University of Tokyo
  •  New developments of statistical methods for risk management in finance and insurance

    • Principal Investigator
      Tsukahara Hideatsu
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Seijo University
  •  Interdisciplinary research in mathematical/data science and simulation science for stochastic differential equation models

    • Principal Investigator
      Uchida Masayuki
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Foundations of mathematics/Applied mathematics
    • Research Institution
      Osaka University
  •  Statistical analysis of price discovery: a stochastic process approachPrincipal Investigator

    • Principal Investigator
      Koike Yuta
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Economic statistics
    • Research Institution
      The University of Tokyo
      Tokyo Metropolitan University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] Large-dimensional central limit theorem with fourth-moment error bounds on convex sets and balls2024

    • Author(s)
      Fang Xiao、Koike Yuta
    • Journal Title

      The Annals of Applied Probability

      Volume: 34 Issue: 2 Pages: 2065-2106

    • DOI

      10.1214/23-aap2014

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] Drift estimation for a multi-dimensional diffusion process using deep neural networks2024

    • Author(s)
      Oga Akihiro、Koike Yuta
    • Journal Title

      Stochastic Processes and their Applications

      Volume: 170 Pages: 104240-104240

    • DOI

      10.1016/j.spa.2023.104240

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Journal Article] Sharp high-dimensional central limit theorems for log-concave distributions2024

    • Author(s)
      Xiao Fang, Yuta Koike
    • Journal Title

      Annales de l'Institut Henri Poincare, Probabilites et Statistiques

      Volume: 印刷中

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] Sharp high-dimensional central limit theorems for log-concave distributions2023

    • Author(s)
      Fang Xiao、Koike Yuta
    • Journal Title

      Annales de l'Institut Henri Poincare, Probabilites et Statistiques

      Volume: -

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Journal Article] From p-Wasserstein bounds to moderate deviations2023

    • Author(s)
      Fang Xiao、Koike Yuta
    • Journal Title

      Electronic Journal of Probability

      Volume: 28 Issue: none Pages: 1-52

    • DOI

      10.1214/23-ejp976

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] Sharp high-dimensional central limit theorems for log-concave distributions2023

    • Author(s)
      Fang Xiao、Koike Yuta
    • Journal Title

      Annales de l'Institut Henri Poincare, Probabilites et Statistiques

      Volume: 2023 Pages: 1-20

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Journal Article] High-Dimensional Data Bootstrap2023

    • Author(s)
      Chernozhukov Victor、Chetverikov Denis、Kato Kengo、Koike Yuta
    • Journal Title

      Annual Review of Statistics and Its Application

      Volume: 10 Issue: 1 Pages: 427-449

    • DOI

      10.1146/annurev-statistics-040120-022239

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] High-Dimensional Central Limit Theorems for Homogeneous Sums2023

    • Author(s)
      Koike Yuta
    • Journal Title

      Journal of Theoretical Probability

      Volume: 36 Issue: 1 Pages: 1-45

    • DOI

      10.1007/s10959-022-01156-2

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668, KAKENHI-PROJECT-17H01100
  • [Journal Article] Sharp high-dimensional central limit theorems for log-concave distributions2023

    • Author(s)
      Xiao Fang and Yuta Koike
    • Journal Title

      Annales de l'Institut Henri Poincare, Probabilies et Statistiques

      Volume: -

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22105
  • [Journal Article] Improved central limit theorem and bootstrap approximations in high dimensions2022

    • Author(s)
      Chernozhuokov Victor、Chetverikov Denis、Kato Kengo、Koike Yuta
    • Journal Title

      The Annals of Statistics

      Volume: 50 Issue: 5 Pages: 2562-2586

    • DOI

      10.1214/22-aos2193

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] New error bounds in multivariate normal approximations via exchangeable pairs with applications to Wishart matrices and fourth moment theorems2022

    • Author(s)
      Xiao Fang,Yuta Koike
    • Journal Title

      The Annals of Applied Probability

      Volume: 32 Issue: 1 Pages: 602-631

    • DOI

      10.1214/21-aap1690

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836, KAKENHI-PROJECT-19K13668, KAKENHI-PROJECT-17H01100
  • [Journal Article] Inference for time-varying lead-lag relationships from ultra-high-frequency data2021

    • Author(s)
      Yuta Koike
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 印刷中 Issue: 1 Pages: 643-696

    • DOI

      10.1007/s42081-021-00106-2

    • NAID

      210000166878

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K13668, KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-18H00836
  • [Journal Article] High-dimensional central limit theorems by Stein’s method2021

    • Author(s)
      Fang Xiao、Koike Yuta
    • Journal Title

      The Annals of Applied Probability

      Volume: 31 Issue: 4 Pages: 1660-1686

    • DOI

      10.1214/20-aap1629

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-18H00836, KAKENHI-PROJECT-19K13668
  • [Journal Article] High-dimensional central limit theorems by Stein's method2021

    • Author(s)
      Xiao Fang, Yuta Koike
    • Journal Title

      Annals of Applied Probability

      Volume: 印刷中

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Journal Article] De-biased graphical Lasso for high-frequency data2020

    • Author(s)
      Yuta Koike
    • Journal Title

      Entropy

      Volume: 22 Issue: 4 Pages: 456-456

    • DOI

      10.3390/e22040456

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K13668, KAKENHI-PROJECT-17H01100
  • [Journal Article] Notes on the dimension dependence in high-dimensional central limit theorems for hyperrectangles2020

    • Author(s)
      Koike Yuta
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 4 Issue: 1 Pages: 257-297

    • DOI

      10.1007/s42081-020-00096-7

    • NAID

      210000171390

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-19K13668
  • [Journal Article] Mixed-normal limit theorems for multiple Skorohod integrals in high-dimensions, with application to realized covariance2019

    • Author(s)
      Yuta Koike
    • Journal Title

      Electronic Journal of Statistics

      Volume: 13 Issue: 1 Pages: 1443-1522

    • DOI

      10.1214/19-ejs1553

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-16K17105, KAKENHI-PROJECT-18H00836
  • [Journal Article] Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data2019

    • Author(s)
      Yuta Koike
    • Journal Title

      Annals of Statistics

      Volume: 4 Issue: 3 Pages: 1663-1687

    • DOI

      10.1214/18-aos1731

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-16K17105
  • [Journal Article] No arbitrage and lead-lag relationships2019

    • Author(s)
      Takaki Hayashi and Yuta Koike
    • Journal Title

      Statistics and Probability Letters

      Volume: 154 Pages: 1-11

    • DOI

      10.1016/j.spl.2019.06.006

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01100, KAKENHI-PROJECT-16K03601
  • [Journal Article] Wavelet-based methods for high-frequency lead-lag analysis2018

    • Author(s)
      Takaki Hayashi and Yuta Koike
    • Journal Title

      SIAM Journal on Financial Mathematics

      Volume: 9 Pages: 1208-1248

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Journal Article] Asymptotic properties of the realized skewness and related statistics2018

    • Author(s)
      Koike Yuta、Liu Zhi
    • Journal Title

      Annals of the Institute of Statistical Mathematics

      Volume: 印刷中 Issue: 4 Pages: 703-741

    • DOI

      10.1007/s10463-018-0659-8

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105, KAKENHI-PROJECT-17H01100
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2024

    • Author(s)
      小池祐太
    • Organizer
      2023年度関西計量経済学研究会
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2024

    • Author(s)
      Yuta Koike
    • Organizer
      Stochastic Analysis and Statistics 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2024

    • Author(s)
      Yuta Koike
    • Organizer
      Stochastic Analysis and Statistics 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2024

    • Author(s)
      小池祐太
    • Organizer
      2023年度関西計量経済学研究会
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] アマゾンウェブサービスとDaily TAQデータ2023

    • Author(s)
      小池祐太
    • Organizer
      探索的ビッグデータ解析と再現可能研究 (WS-EBDA-RR-2023)
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2023

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2023

    • Author(s)
      小池祐太
    • Organizer
      データサイエンスにおける統計的理論・方法論の新展開
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] Bootstrap test for multi-scale lead-lag relationships in high-frequency data2023

    • Author(s)
      Yuta Koike
    • Organizer
      The 12th ICSA International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] アマゾンウェブサービスとDaily TAQデー タ2023

    • Author(s)
      小池祐太
    • Organizer
      探索的ビッグデータ解析と再現可能研究 (WS-EBDA-RR-2023)
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] High-dimensional bootstrap and asymptotic expansion: A first attempt2023

    • Author(s)
      Koike Yuta
    • Organizer
      Workshop on Mathematical Statistics in the Information Age
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] アマゾンウェブサービスとDaily TAQデータ2023

    • Author(s)
      小池祐太
    • Organizer
      探索的ビッグデータ解析と再現可能研究 (WS-EBDA-RR-2023)
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] Bootstrap test for multi-scale lead-lag relationships in high-frequency data2023

    • Author(s)
      Yuta Koike
    • Organizer
      The 12th ICSA International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] 対数凹な独立同分布確率ベクトルの和に対する高次元中心極限定理2023

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2023年度年会
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2023

    • Author(s)
      Yuta Koike
    • Organizer
      16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] From p-Wasserstein bounds to moderate deviations2023

    • Author(s)
      Yuta Koike
    • Organizer
      43rd Conference on Stochastic Processes and their Applications (SPA 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2023

    • Author(s)
      小池祐太
    • Organizer
      データサイエンスにおける統計的理論・方法論の新展開
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Estimation of the number of relevant factors from high-frequency data2023

    • Author(s)
      Yuta Koike
    • Organizer
      16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Central limit theorems in high-dimensions: Recent developments. Risk and Statistics2022

    • Author(s)
      Koike Yuta
    • Organizer
      3rd Tohoku-ISM-UUlm Joint Workshop
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] 高次元データに対する正規近似理論2022

    • Author(s)
      小池祐太
    • Organizer
      第25回情報論的学習理論ワークショップ(IBIS2022)
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2022

    • Author(s)
      Yuta Koike
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] ティックデータのフィルタリング: Daily TAQ データを例にして2022

    • Author(s)
      小池祐太
    • Organizer
      探索的ビッグデータ解析と再現可能研究 (WS-EBDA-RR-2022)
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] High-dimensional CLT with general covariance structure2022

    • Author(s)
      Koike Yuta
    • Organizer
      CMStatistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] 高次元データに対する正規近似理論2022

    • Author(s)
      小池祐太
    • Organizer
      第25回情報論的学習理論ワークショップ(IBIS2022)
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] ティックデータのフィルタリング: Daily TAQデータを例にして2022

    • Author(s)
      小池祐太
    • Organizer
      探索的ビッグデータ解析と再現可能研究(WS-EBDA-RR-2022)
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] 高次元データに対する正規近似: 最近の進展2022

    • Author(s)
      小池祐太
    • Organizer
      多様な高次元モデルの理論と方法論: 最前線の動向
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 実現共分散行列の高次元漸近混合正規性2022

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2022年度年会
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 金融高頻度データにおける先行遅行関係2022

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所リスク解析戦略研究センターシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22160
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2022

    • Author(s)
      Koike, Yuta
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K22105
  • [Presentation] 高次元データに対する正規近似: 最近の進展2022

    • Author(s)
      小池祐太
    • Organizer
      多様な高次元モデルの理論と方法論: 最前線の動向
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高次元中心極限定理の誤差評価に関する最近の進展2022

    • Author(s)
      小池祐太
    • Organizer
      大阪大学確率論セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Did the introduction of ETF Market Making Incentive Scheme affect lead-lag relationships in the Tokyo Stock Exchange?2022

    • Author(s)
      Yuta Koike
    • Organizer
      33rd (EC)^2 Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Central limit theorems in high-dimensions: Recent developments2022

    • Author(s)
      Yuta Koike
    • Organizer
      Risk and Statistics, 3rd Tohoku-ISM-UUlm Joint Workshop
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] High-dimensional CLT with general covariance structure2022

    • Author(s)
      Yuta Koike
    • Organizer
      15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 高次元中心極限定理の誤差評価に関する最近の進展2022

    • Author(s)
      小池祐太
    • Organizer
      大阪大学確率論セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K22410
  • [Presentation] 金融高頻度データにおける先行遅行関係2022

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所 リスク解析戦略研究センターシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] YUIMA と機械学習2021

    • Author(s)
      小池祐太
    • Organizer
      第5 回YUIMA ユーザー会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 深層ニューラルネットワークによる多次元拡散過程のドリフト推定2021

    • Author(s)
      小池祐太
    • Organizer
      確率過程の統計推測の最近の展開2021
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高頻度金融市場における多重先行遅行関係のウェーブレット解析2021

    • Author(s)
      林高樹,小池祐太
    • Organizer
      2021年度統計数理セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 深層ニューラルネットワークによる多次元拡散過程のドリフト推定2021

    • Author(s)
      小池祐太
    • Organizer
      大阪大学数理・データ科学セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] De-biased graphical Lasso for high-frequency data2021

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所 リスク解析戦略研究センター 第 8 回金融シンポジウム「金融が直面する新環境への対応と方法論 III」
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Central limit theorems in high-dimensions: Recent developments2021

    • Author(s)
      Yuta Koike
    • Organizer
      15th International Conference on Computational and Financial Econometrics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] 東京証券取引所におけるETFマーケットメイク制度導入の先行遅行関係への影響分析2021

    • Author(s)
      林高樹,小池祐太
    • Organizer
      2021年度冬季JAFEE大会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] De-biased graphical Lasso for high-frequency data2021

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所リスク解析戦略研究センター第8 回金融シンポジウム「金融が直面する新環境への 対応と方法論III」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Drift estimation for a multi-dimensional diffusion process using deep neural networks2021

    • Author(s)
      Akihiro Oga, Yuta Koike
    • Organizer
      The 4th International Conference on Econometrics and Statistics (EcoSta 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Gaussian approximation to high-dimensional Wishart matrices under a moment assumption2021

    • Author(s)
      Xiao Fang, Yuta Koike
    • Organizer
      日本数学会2021年度秋季総合分科会
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Bootstrap test for multi-scale lead-lag relationships in high-frequency data2021

    • Author(s)
      Takaki Hayashi,Yuta Koike
    • Organizer
      Bernoulli-IMS 10th World Congress in Probability and Statistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Global jump filter に基づくボラティリティ推定法の実装2021

    • Author(s)
      小池祐太
    • Organizer
      第6 回YUIMA ユーザー会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Homogeneous sumに対する高次元中心極限定理2021

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2021年度年会
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Homogeneous sum に対する高次元中心極限定理2021

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2021 年度年会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Gaussian approximation to high-dimensional Wishart matrices under a moment assumption2021

    • Author(s)
      Xiao Fang, Yuta Koike
    • Organizer
      日本数学会2020 年度秋季総合分科会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Drift estimation for a multi-dimensional diffusion process using deep neural networks2021

    • Author(s)
      Akihiro Oga, Yuta Koike
    • Organizer
      The 4th International Conference on Econometrics and Statistics
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Gaussian approximation for high-dimensional data: Recent progress2021

    • Author(s)
      Yuta Koike
    • Organizer
      Maths & Stats Colloquium Series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Gaussian approximation for high-dimensional data: Recent progress2021

    • Author(s)
      Yuta Koike
    • Organizer
      Maths & Stats Colloquium Series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Central limit theorems in high-dimensions: Recent developments2021

    • Author(s)
      Yuta Koike
    • Organizer
      15th International Conference on Computational and Financial Econometrics (CFE 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Drift estimation for a multi-dimensional diffusion process using deep neural networks2021

    • Author(s)
      Akihiro Oga, Yuta Koike
    • Organizer
      The 4th International Conference on Econometrics and Statistics (EcoSta 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Central limit theorems in high-dimensions: Recent developments2021

    • Author(s)
      Yuta Koike
    • Organizer
      15th International Conference on Computational and Financial Econometrics (CFE 2021)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 確率微分方程式モデルにおける高次元共分散行列推定2021

    • Author(s)
      小池祐太
    • Organizer
      2021 年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Multi-Scale Analysis of Lead-Lag Relationships in High-Frequency Financial Markets2020

    • Author(s)
      Yuta Koike
    • Organizer
      The LiU Seminar Series in Statistics and Mathematical Statistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] YUIMA におけるリード・ラグ解析の最近の展開2020

    • Author(s)
      小池祐太
    • Organizer
      2020 年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高次元中心極限定理の最近の展開2020

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2020年度秋季総合分科会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 高次元中心極限定理の最近の展開2020

    • Author(s)
      小池祐太
    • Organizer
      日本数学会2020 年度秋季総合分科会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Multi-Scale Analysis of Lead-Lag Relationships in High-Frequency Financial Markets2020

    • Author(s)
      Yuta Koike
    • Organizer
      11th CEQURA Conference 2020 on Advances in Financial and Insurance Risk Management
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Multi-Scale Analysis of Lead-Lag Relationships in High-Frequency Financial Markets2020

    • Author(s)
      Yuta Koike
    • Organizer
      11th CEQURA Conference 2020 on Advances in Financial and Insurance Risk Management
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 62nd ISI World Statistics Congress 2019 (ISI-WSC 2019)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 3rd KAFE-JAFEE International Conference on Financial Engineering
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] De-biased graphical Lasso for high-frequency data2019

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 3rd KAFE-JAFEE International Conference on Financial Engineering
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] De-biased graphical Lasso for high-frequency data2019

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高次元共分散行列推定に基づく最小分散ポートフォリオのパフォーマンス比較2019

    • Author(s)
      小池祐太
    • Organizer
      科研費 計量ファイナンス研究集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] De-biased graphical Lasso for high-frequency data2019

    • Author(s)
      Yuta Koike
    • Organizer
      12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] De-biasing the graphical Lasso in high-frequency data2019

    • Author(s)
      Yuta Koike
    • Organizer
      ASC 2018: Asymptotic Statistics and Computations
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 62nd ISI World Statistics Congress 2019 (ISI-WSC 2019)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 高頻度データにおける高次元共分散行列の統計推測2019

    • Author(s)
      小池祐太
    • Organizer
      データサイエンス・福島キャンプ2019
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 11th ICSA International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 11th ICSA International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] De-biasing the graphical Lasso in high-frequency data2019

    • Author(s)
      Yuta Koike
    • Organizer
      ASC 2018: Asymptotic Statistics and Computations
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 11th ICSA International Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] On implementation of high-dimensional covariance estimation in YUIMA package2019

    • Author(s)
      Yuta Koike
    • Organizer
      4th Yuima Users Workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] High-dimensional covariance estimation in YUIMA package2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 2nd YUIMA Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高頻度データにおける高次元共分散行列の統計推測2019

    • Author(s)
      小池祐太
    • Organizer
      データサイエンス・福島キャンプ2019
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      The 3rd KAFE-JAFEE International Conference on Financial Engineering
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K13668
  • [Presentation] 高次元共分散行列推定に基づく最小分散ポートフォリオのパフォーマンス比較2019

    • Author(s)
      小池祐太
    • Organizer
      科研費計量ファイナンス研究集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2019

    • Author(s)
      Yuta Koike
    • Organizer
      62nd ISI World Statistics Congress
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] 高次元高頻度データを用いた最小分散ポートフォリオの推定2018

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所リスク解析戦略研究センター第6回金融シンポジウム「金融が直面する新環境への対応と方法論」
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] On the asymptotic structure of Brownian motions with a small lead-lag effect2018

    • Author(s)
      小池祐太
    • Organizer
      2018 年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      2018 Kagawa International Symposium “Recent Developments in Statistics and Econometrics”
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2018

    • Author(s)
      Yuta Koike
    • Organizer
      IMS-APRM 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Testing the residual sparsity of a high-dimensional continuous-time factor model2018

    • Author(s)
      Yuta Koike
    • Organizer
      CEQURA Conference 2018 on Advances in Financial and Insurance Risk Management
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      10th World Congress of the Bachelier Finance Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Testing the residual sparsity of a high-dimensional continuous-time factor model2018

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高頻度金融市場におけるリード・ラグ関係の多時間スケール解析2018

    • Author(s)
      小池祐太
    • Organizer
      2018 年度中之島ワークショップ「金融工学・数理計量ファイナンスの諸問題2018」
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Testing the absence of lead-lag effects in high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      EcoSta 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Multi-scale analysis of lead-lag relationships in high-frequency financial markets2018

    • Author(s)
      Yuta Koike
    • Organizer
      ASC 2018: Asymptotic Statistics and Computations
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      10th World Congress of the Bachelier Finance Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Lead-lag Analysis in YUIMA package2018

    • Author(s)
      Yuta Koike
    • Organizer
      Computational Aspects of Simulation and Inference for Stochastic Processes and the YUIMA Project
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2018

    • Author(s)
      小池祐太
    • Organizer
      2018 年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Testing the absence of lead-lag effects in high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      EcoSta 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高次元高頻度データを用いた最小分散ポートフォリオの推定2018

    • Author(s)
      小池祐太
    • Organizer
      統計数理研究所リスク解析戦略研究センター第6 回金融シンポジウム「金融が直面する新環境への対 応と方法論」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高次元高頻度データにおける共分散行列の統計推測2018

    • Author(s)
      小池祐太
    • Organizer
      第六回数理ファイナンス合宿型セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Testing the absence of lead-lag effects in high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      EcoSta 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Testing the residual sparsity of a high-dimensional continuous-time factor model2018

    • Author(s)
      Yuta Koike
    • Organizer
      11th International Conference of the ERCIM WG on CMStatistics 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Testing the residual sparsity of a high-dimensional continuous-time factor model2018

    • Author(s)
      Yuta Koike
    • Organizer
      CEQURA Conference 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高頻度金融市場におけるリード・ラグ関係の多時間スケール解析2018

    • Author(s)
      小池祐太
    • Organizer
      2018年度中之島ワークショップ
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] 高頻度金融市場におけるリード・ラグ関係の多時間スケール解析2018

    • Author(s)
      小池祐太
    • Organizer
      2018 年度中之島ワークショップ「金融工学・数理計量ファイナンスの諸問題2018」
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Asymptotic mixed normality of realized covariance in high-dimensions2018

    • Author(s)
      Yuta Koike
    • Organizer
      IMS-APRM 2018
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] On the asymptotic structure of Brownian motions with a small lead-lag effect2018

    • Author(s)
      小池祐太
    • Organizer
      2018年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] On the asymptotic structure of Brownian motions with a small lead-lag effect2018

    • Author(s)
      小池祐太
    • Organizer
      2018 年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H00836
  • [Presentation] Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data2018

    • Author(s)
      Yuta Koike
    • Organizer
      10th World Congress of the Bachelier Finance Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Testing the absence of lead-lag effects in high-frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      TMU Workshop on Finance 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Web データと高頻度データ解析2017

    • Author(s)
      小池祐太
    • Organizer
      統計サマーセミナー 2017
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Wiener 汎関数べクトルの最大値のGauss 型近似とその高頻度データ解析への応用2017

    • Author(s)
      小池祐太
    • Organizer
      大阪大学確率論セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Capturing heterogeneous lead-lag relationships from ultra high frequency data (ポスター)2017

    • Author(s)
      Yuta Koike
    • Organizer
      SoFiE 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Lead-lag analysis of non-synchronously observed time series with R2017

    • Author(s)
      小池祐太
    • Organizer
      2017 年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Capturing heterogeneous lead-lag effects from ultra high frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      ASC2017
    • Place of Presentation
      東京大学駒場キャンパス
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Lead-lag analysis of non-synchronously observed time series with R2017

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Inference for time-varying lead-lag relationships from ultra high frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      FST seminar
    • Place of Presentation
      University of Macau
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] 高頻度データ解析に現れる最大値統計量の分布のGauss 型近似について2017

    • Author(s)
      小池祐太
    • Organizer
      大規模統計モデリングと計算統計IV
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Lead-lag analysis of non-synchronously observed time series with R2017

    • Author(s)
      小池祐太
    • Organizer
      2017 年度統計関連学会連合大会(英語セッション)
    • Invited
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] On the asymptotic structure of Brownian motions with a small lead-lag effect2017

    • Author(s)
      Yuta Koike
    • Organizer
      Asymptotic Statistics of Stochastic Processes and Applications XI
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Capturing heterogeneous lead-lag relationships from ultra high frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      SoFiE 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Capturing heterogeneous lead-lag relationships from ultra high frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      EcoSta 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Capturing heterogeneous lead-lag relationships from ultra high frequency data2017

    • Author(s)
      Yuta Koike
    • Organizer
      EcoSta 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Lead-lag analysis of non-synchronously observed time series with R2017

    • Author(s)
      Yuta Koike
    • Organizer
      CMStatistics 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] 高頻度データにおけるリード・ラグ効果のウェーブレット解析2017

    • Author(s)
      小池祐太
    • Organizer
      応用統計ワークショップ
    • Place of Presentation
      東京大学本郷キャンパス
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] On the asymptotic structure of Brownian motions with a small lead-lag effect2017

    • Author(s)
      Yuta Koike
    • Organizer
      Asymptotic Statistics of Stochastic Processes and Applications XI
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Webデータと高頻度データ解析2017

    • Author(s)
      小池祐太
    • Organizer
      統計サマーセミナー2017
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Wavelet-based methods for high-frequency lead-lag analysis2017

    • Author(s)
      Yuta Koike
    • Organizer
      IAAE 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Wavelet-based methods for high-frequency lead-lag analysis2017

    • Author(s)
      Yuta Koike
    • Organizer
      IAAE 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01100
  • [Presentation] Quadratic Variation Estimation of an Irregularly Observed Semimartingale with Jumps and Noise2016

    • Author(s)
      Yuta Koike
    • Organizer
      Wakimoto Memorial Session 2016
    • Place of Presentation
      Statistical training center
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] 高頻度時系列データに対するリード・ラグ効果の統計解析2016

    • Author(s)
      小池祐太
    • Organizer
      2016年度統計関連学会連合大会
    • Place of Presentation
      金沢大学角間キャンパス
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Wavelet-based methods for high-frequency lead-lag analysis2016

    • Author(s)
      Yuta Koike
    • Organizer
      Stochastic Analysis and Statistics 4
    • Place of Presentation
      東京大学駒場キャンパス
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] リードラグ効果のウェーブレット解析2016

    • Author(s)
      小池祐太
    • Organizer
      大規模統計モデリングと計算統計III
    • Place of Presentation
      東京大学駒場キャンパス
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Statistical analysis of price discovery: a stochastic process approach2016

    • Author(s)
      Yuta Koike
    • Organizer
      IMS-APRM2016
    • Place of Presentation
      The Chinese University of Hong Kong
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Time varying lead-lag effect2016

    • Author(s)
      Yuta Koike
    • Organizer
      CFE-CMStatistics 2016
    • Place of Presentation
      University of Seville
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Statistical lead-lag effects2016

    • Author(s)
      Yuta Koike
    • Organizer
      Portfolio dynamics and limit order books
    • Place of Presentation
      Ecole CentraleSupelec
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] 超高頻度データに対するリード・ラグ効果の推定について2016

    • Author(s)
      小池祐太
    • Organizer
      慶應義塾大学経済研究所計量経済学ワークショップ
    • Place of Presentation
      慶應義塾大学三田キャンパス
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] 統計的リード・ラグ効果2016

    • Author(s)
      小池祐太
    • Organizer
      高精度情報抽出のための統計理論・方法論とその応用
    • Place of Presentation
      九州大学伊都キャンパス
    • Data Source
      KAKENHI-PROJECT-16K17105
  • [Presentation] Statistical lead-lag effects2016

    • Author(s)
      Yuta Koike
    • Organizer
      TMU Workshop on Financial Mathematics and Statistics 2016
    • Place of Presentation
      Tokyo Metropolitan University
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K17105
  • 1.  清水 泰隆 (70423085)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 0 results
  • 2.  Tsukahara Hideatsu (10282550)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  川崎 能典 (70249910)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  Uchida Masayuki (70280526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  林 高樹 (80420826)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 5 results
  • 6.  増田 弘毅 (10380669)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  廣瀬 慧 (40609806)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  江口 翔一 (50814018)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  山下 智志 (50244108)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  XUE Yujie (20822232)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  田上 悠太 (60805050)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  力丸 佑紀 (80736009)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  中西 正 (30967203)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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