Projects per year
Personal profile
Education
- PhD, The University of Reading
Research Interests
- CSR and SRI
- Hedge funds(CTA)
- Technical analysis
- Trading Strategies
Experience
- 2006/08- 2010/07 Assistant Professor, Department of Accountancy and Graduate Institute of Finance, National Cheng Kung University
- 2010/08~ 2022/07 Associate Professor, Department of Accountancy and Graduate Institute of Finance, National Cheng Kung University
- 2022/08~ present Professor, Department of Accountancy and Graduate Institute of Finance, National Cheng Kung University
Fingerprint
Dive into the research topics where Meng-Feng Yen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 4 Finished
-
Do manager characteristics matter in equity mutual fund performance? New evidence based on the double-adjusted alpha
Lin, J. H., Yen, M. F. & Hsieh, W. C., 2023 Feb, In: Pacific Basin Finance Journal. 77, 101925.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A Two-Dimensional Sentiment Analysis of Online Public Opinion and Future Financial Performance of Publicly Listed Companies
Yen, M. F., Huang, Y. P., Yu, L. C. & Chen, Y. L., 2022 Apr, In: Computational Economics. 59, 4, p. 1677-1698 22 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
Report Users' Perceived Sentiments of Key Audit Matters and Firm Performance: Evidence from a Deep Learning-Based Natural Language Processing Approach
Liu, W., Yen, M. & Wu, T., 2022 Sept 1, In: Journal of Information Systems. 36, 3, p. 191-209Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
投資人情緒與舉債決策、債務期限之關係
Translated title of the contribution :Exploring the Effect of Investor Sentiments on Debt Issuance and Maturity Research output: Contribution to journal › Article › peer-review
-
A new perspective of performance comparison among machine learning algorithms for financial distress prediction
Huang, Y. P. & Yen, M. F., 2019 Oct, In: Applied Soft Computing Journal. 83, 105663.Research output: Contribution to journal › Article › peer-review
60 Citations (Scopus)