Douglas Cumming
DeSantis Distinguished Professor
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Articles (10)
This study investigates whether accelerators attract the highest‐performing FinTech ventures. Drawing on countersignalling theory, we present a model of accelerator participation that predicts high‐quality FinTech ventures will avoid accelerator programmes. Using a unique financial reporting dataset of FinTech accelerator participants and a propensity score‐matched sample of comparison firms, we find support for the prediction from our countersignalling model. FinTech accelerator participants have worse performance, both before and after completing a programme, when compared to peer non‐accelerator ventures. Overall, our results indicate that FinTech ventures are less suited for accelerators due to the current breadth of outside funding options available, which provides little incentive for participation from high‐quality ventures. This research has important implications for entrepreneurs, accelerators and investors.
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2023
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2023
Collaborators (9)
Minjie Zhang
Associate Professor of Finance
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Feng Zhan
Associate Professor
Western University
Sofia Johan
Associate Professor
Florida Atlantic University
Philip O'Reilly
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Naimat Khan
Lecturer (Assistant Professor) in Accounting & Finance
Cardiff University
Muhammad Farooq AHMAD
Associate Professor
SKEMA Business School
Hisham Farag
University of Birmingham
Antonio Meles
Associate Professor
Università degli Studi della Campania Luigi Vanvitelli
Michael Aitken
Macquarie University
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