Details of a Researcher - Takeda, Fumiko

Takeda, Fumiko

写真a

Affiliation: Graduate School of Business Administration ( Hiyoshi )

Position: Professor

Related Websites

Fumiko Takeda Webpage

External Links

Scopus Paper Info

Paper Count: 47 Citation Count: 641 h-index: 14

Click to view the Scopus page. The data was downloaded from Scopus API in May 17, 2026, via http://api.elsevier.com and http://www.scopus.com .

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Career 【 Display / hide 】

2002.04

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2003.03

Yokohama City University, 商学部, 専任講師
2003.04

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2004.02

Yokohama City University, 商学部, 助教授
2004.03

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2007.03

The University of Tokyo, The Graduate School of Engineering, 助教授
2007.04

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2022.03

The University of Tokyo, The Graduate School of Engineering, 准教授
2022.04

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Present

Keio University, Graduate School of Business Administration, Professor

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Academic Background 【 Display / hide 】

1987.04

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1991.03

The University of Tokyo, 教養学部, 教養学科

University, Graduated
1996.09

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2001.12

Yale University, Graduate School of Arts and Sciences, Department of Economics

Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

Ph.D. (Economics), Yale University, Coursework, 2001.12

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Papers 【 Display / hide 】

Seed Technology: Identifying Emerging Engineering Topics via Highly-Cited IEEE Papers

Shino Iwami, Ryuji Miyasaka, Suguru Tamura, Fumiko Takeda

Proceedings of the 35th Annual Conference of the IAMOT 2026 2026.04

Research paper (scientific journal), Joint Work, Lead author, Last author, Corresponding author, Accepted
The impact of revealed scandal of J-POP agency on the market value of sponsoring companies

Fumiko Takeda

Proceedings of the 22nd Asian Academic Accounting Association Annual Conference 2025 86 - 94 2025.12

Research paper (scientific journal), Joint Work, Lead author, Last author, Corresponding author, Accepted
Does Twitter happiness predict bullish markets? A study of the US stock markets

Vighneswara Swamy, Munusamy Dharani, Fumiko Takeda

IIMB Management Review 36 ( 4 ) 309 - 321 2024.12

Research paper (scientific journal), Joint Work, Accepted, ISSN 09703896

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The evolving literature on using Twitter to capture investor sentiment suggests that stock market performance is linearly associated with Twitter's public mood. We investigate whether investor sentiment determined by the Twitter sentiment index (TSI) has a nonlinear predictive power for stock market behaviour. Using a dataset of seven US stock markets, we apply the cointegration techniques to show the relationship between Twitter sentiment and stock market behaviour. The results suggest a dynamic nonlinear cointegrating relationship. During the short run, Twitter happiness has a substantial effect on stock market indices, while in the long run, it has a moderating effect. Twitter happiness has a dominant effect on the US stock market indices than unhappy Twitter. These results highlight Twitter's growing role in predicting the stock market behaviour and show that the TSI acts as a better predictor of investor sentiment.
- Access to Document (DOI)
Empirical study on voting results and proxy advisor recommendations in Japan

Hiroaki Miyachi, Fumiko Takeda

Journal of International Financial Markets, Institutions and Money (Elsevier BV) 92 101973 - 101973 2024.04

Research paper (scientific journal), Joint Work, Corresponding author, Accepted, ISSN 10424431

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This study examines the relationship between proxy advisory firms’ recommendations and investors’ voting behavior in Japan, where corporate governance has been under transition. Based on 1,025 shareholder meeting proposals and recommendations by proxy advisory firms in Japan between March 2010 and March 2022, multivariate regression analyses reveal that the dissenting recommendations of the two main proxy advisory firms are negatively correlated with the approval rate of proposals, as well as the percentage of affirmative votes cast by institutional investors. Furthermore, the institutional investors’ behavior is more consistent with the recommendations of proxy advisory firms than that of other investors.
- Access to Document (DOI)
Stock Price Reactions to Research and Development News on Pharmaceutical Companies in Japan

T. Imai, F. Takeda

2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (IEEE) 1119 - 1123 2024

Research paper (scientific journal), Joint Work, Corresponding author, Accepted, ISSN 21573611

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This study examines the effects of research and development (R&D) on the market value of Japanese pharmaceutical companies. Based on 1,345 news articles, our event study analysis of 74 Japanese pharmaceutical companies from 1 January 2010 to 31 December 2021 revealed three key findings. First, the stock prices of the aforementioned companies generally respond positively to the business news, and more specifically, R&D-related news. Second, the impact on the share price is more pronounced as the R&D progress to more advanced stages. Lastly, the stock price responses to R&D news tend to diminish as the size of pharmaceutical companies increases.
- Access to Document (DOI)

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Papers, etc., Registered in KOARA 【 Display / hide 】

Effects of COVID-19 pandemic on the market value of Japanese esports and gaming companies

Takeda, Fumiko

学事振興資金研究成果実績報告書 (慶應義塾大学) 2023
The impact of sports sponsorship on the market value of sponsors

Takeda, Fumiko

学事振興資金研究成果実績報告書 (慶應義塾大学) 2022

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

IFRSの任意適用が資本市場や株主構成に与える影響についての研究

2025.04

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2028.03

日本学術振興会, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Research grant, Principal investigator

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日本では、2010年以降、上場企業は、IFRSを任意に適用できるようになった。IFRSは財務諸表の比較可能性を向上させ、情報の非対称性を小さくし、外国からの投資を増加させる効果があるとされる。この効果は、欧州を対象とした研究では確認されているが、中国や日本の研究ではされていない。本研究では、同時期に進んだ日本の企業統治の変化を制御した上で、IFRS適用が資本市場や株主構成に与えた影響を分析することを目指す。IFRS適用が強制である欧州と異なり任意であり、同時に企業統治のあり方が近年変化しているという、日本のユニークな環境を活かすことが、学術的に独自性のある分析になると考えている。
AI Transparency and Sustainability Performance: An Empirical and Case Study Analysis of Japanese Listed Firms and Startups

2025.04

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2028.03

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), Research grant, Coinvestigator(s)

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Prominent multinational Japanese companies such as Toyota, Fujitsu, Hitachi,
and NEC are investing heavily in AI technology. As sustainability issues grow in importance, it is crucial to understand how companies' AI transparency affects sustainability performance. Our study employs empirical and qualitative case study analysis that develops a measure of AI transparency in Japanese firms, examines its effects on sustainability performance, or investigates AI technology integration into multinational corporations' and startups' business models concerning sustainability.
アクティビストの介入が企業行動や企業価値に与える影響についての研究

2022.04

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2025.03

MEXT,JSPS, Grant-in-Aid for Scientific Research, 基盤研究(C), Principal investigator