Wendi Du
Assistant Professor in Finance
Darla Moore School of Business
University of South Carolina
Research Interest: FinTech, Innovation, AI in Natural Language Processing (NLP), Responsible and Sustainable Finance
Assistant Professor in Finance
Darla Moore School of Business
University of South Carolina
Research Interest: FinTech, Innovation, AI in Natural Language Processing (NLP), Responsible and Sustainable Finance
Real Effects of External Innovation: Evidence from the Tax Cuts and Jobs Act (with Dongmei Li)
Firms increasingly rely on external sources of innovation -- such as technology licensing, purchases of intangible assets, and business acquisitions -- to augment their internal R&D. We study whether external innovation complements or substitutes internal R&D using the 2022 enforcement of Section 174 of the Tax Cuts and Jobs Act as an exogenous shock that raised the after-tax cost of internal R&D. Using a difference-in-differences design, we show that more R&D-intensive firms significantly increased externally sourced innovation -- measured comprehensively using acquired intangible assets -- without reducing internal R&D. These firms subsequently achieved higher innovative efficiency and originality, explored new technological domains, were more likely to generate breakthrough patents, and became more profitable.
Unlocking the Collateral Value of Trademarks: The Role of Asset Redeployability (solo author, Job Market Paper)
Trademarks, the legal protection of brands, are increasingly pledged as collateral in practice. This paper investigates the redeployability channel of trademarks' collateral value. Using a novel court decision that exogenously weakens trademark redeployability, I find that affected firms significantly reduce leverage. Additionally, affected firms are less likely to pledge their registered trademarks as collateral afterward. When they do pledge, they pledge a greater number of trademarks, as well as more valuable ones. In sum, my results highlight the value of trademark collateral in enhancing firms' debt capacity through its redeployability channel.
Presented at FMA 2024, Georgia Institute of Technology, University of South Carolina, Babson College, Virginia Tech, University of Alberta, UC Riverside
Firm-Level Input Price Changes and Their Effects: A Deep Learning Approach (with Sudheer Chava, Indrajit Mitra, Agam Shah, and Linghang Zeng)
Best Paper Award on FinTech at FMA 2022
Generative AI in Finance 2024
Conference on Emerging Technologies in Accounting and Financial Economics 2023
American Finance Association 2023
Midwest Finance Association 2023
Conference on Financial Economics and Accounting 2022
SITE Conference on New Frontiers in Asset Pricing 2022
Swedish House of Finance Conference on Machine Learning and AI in Finance 2022
China International Conference in Finance 2022
How Informative are Corporate Disclosures on Emerging Technologies? A Language Embedding Approach (with Sudheer Chava and Nikhil Paradkar)
Midwest Finance Association 2022
China International Conference in Finance 2021
Do Managers Walk the Talk on Environmental and Social Issues? (with Sudheer Chava and Baridhi Malakar)
China International Conference in Finance 2022
OCC Symposium on Climate Risk in Banking & Finance 2022
When FLUE Meets FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain (with Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Sudheer Chava, Natraj Raman, Smiley Charese, Jiaao Chen, Diyi Yang)
Empirical Methods in Natural Language Processing (EMNLP) 2022
One of the Top NLP conferences in Computer Science