Updated on 2026/06/06

写真a

 
CHEN YING
 
Organization
School of Engineering Assistant Professor
Title
Assistant Professor
External link

Degree

  • Doctor of Philosophy (Ph.D.) ( 2025.9   Institute of Science Tokyo )

Research Interests

  • Behavioral Finance

  • Asset Pricing

  • Causal Inference

  • Text-mining

  • Financial Engineering

  • Corporate Finance

Research Areas

  • Informatics / Intelligent informatics

  • Humanities & Social Sciences / Money and finance

Research History

  • Institute of Science Tokyo   School of Engineering   Assistant Professor

    2025.12

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    Country：Japan

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Papers

  • Are managerial cognitive biases priced in Japan? Evidence from cross-sectional portfolio returns Reviewed

    Ying Chen, Kei Nakagawa, Yosuke Kimura, Kotaro Inoue

    Finance Research Letters   85   107940 - 107940   2025.11

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.frl.2025.107940

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  • How does managerial perception of uncertainty affect corporate investment during the COVID-19 pandemic: A text mining approach Reviewed

    Ying Chen, Yosuke Kimura, Kotaro Inoue

    Pacific-Basin Finance Journal   90   102655 - 102655   2025.4

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    Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

    DOI： 10.1016/j.pacfin.2024.102655

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  • Measuring Self-serving Attribution Bias Using Text Mining Reviewed

    Ying Chen, Yosuke Kimura, Kotaro Inoue

    2025 Asian Finance Association (AsianFA) Annual Conference   2025

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier BV  

    DOI： 10.2139/ssrn.5130571

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  • Uncertainty about "Uncertainty" Reviewed

    Ying Chen, Kotaro Inoue, Yosuke Kimura, Xiangyu Wang, Jin Xu

    2025 Asian Finance Association (AsianFA) Annual Conference   2025

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    Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier BV  

    DOI： 10.2139/ssrn.5315516

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  • Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation Reviewed

    Ying Chen, Ziwei Xu, Kotaro Inoue, Ryutaro Ichise

    2024 International Conference on Machine Learning and Applications (ICMLA)   1089 - 1094   2024.12

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    Authorship：Lead author   Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    DOI： 10.1109/icmla61862.2024.00165

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  • Text Based Categorization of Governance Styles of Firms and The Validity: Evidence from MD&A of Japanese Firms Reviewed

    Ying Chen, Yosuke Kimura, Kotaro Inoue

    The 35th Asian Finance Association Annual Conference   2023.6

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    Authorship：Lead author,　Corresponding author   Language：English   Publishing type：Research paper (international conference proceedings)  

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MISC

  • 視点の違いに着目した金融 因果推論の高度化 Invited

    市瀬 龍太郎, 許 子微, 陳 穎, 井上 光太郎

    SBI金融経済研究所報   Vol. 8   30 - 45   2025.9

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    Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)  

    File： review_vol08_04_202508.pdf

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  • CC-BizEnv: Causal Cognition Extraction of Business and Environment from Financial Reports

    CHEN Ying, INOUE Kotaro, ICHISE Ryutaro

    JSAI Technical Report, Type 2 SIG   2024 ( FIN-033 )   163 - 168   2024.10

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    Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

    Domain-adaptation causal knowledge plays an important role in an ever-evolving frontier of intelligent inference that references expert cognition in addressing complex decision-making problems. With the recent increase in uncertainty, cognitive biases may induce managers to overestimate their decision-making abilities and the probability of success, potentially leading to irrational decisions. It is both academically and practically important to develop methods from a semantic perspective to directly measure managerial cognitive patterns, apply standardized processes to larger samples, and provide empirical evidence of their impact on corporate decision-making. In this study, we provide a financial expert-annotated dataset to extract CC-BizEnv (Causal Cognition of Business and Environment) of managers from Japanese annual reports. This dataset is based on more granular "cause-effect" annotations and clue expressions for fine-tuning of Pre-trained Natural Language Model (NLM). As a result, according to pre-set ``clues'', CC-BizEnv allows the extraction of sentences containing causal rationale and classification of ``internal cause'', ``external cause'', ``positive effect'' and ``negative effect'' from narratives with 87.4% F1 score. We apply this approach to measure managerial cognitive patterns and identify cognitive biases, such as self-serving attributional bias.

    DOI： 10.11517/jsaisigtwo.2024.fin-033_163

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Awards

  • Corporate Finance Research Award, First Prize

    2026.3   Graduate School of Management, Kyoto University, Endowed Chair of Corporate Finance and Capital Markets (Mizuho Securities)   Self-serving Attribution Bias and Corporate Actions

    Ying Chen, Yosuke Kimura, Kotaro Inoue

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  • Tejima Seiichi Memorial Research Award International Student Research Award

    2026.3   Institute of Science Tokyo   How does managerial perception of uncertainty affect corporate investment during the COVID-19 pandemic: A text mining approach

    Ying Chen

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  • Best Poster Award

    2024.12   IEEE International Conference on Machine Learning and Applications (ICMLA) 2024  

    Ying Chen, Ziwei Xu, Kotaro Inoue, Ryutaro Ichise

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Teaching Experience

  • Corporate Finance and Governance

    2026.4 Institution：Institute of Science Tokyo

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  • Corporate Finance

    2026.4 Institution：Institute of Science Tokyo

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