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- W3201518392 abstract "This study examines the difference in abnormal returns of constituent stocks on the inception dates of ETFs by grouping U.S. AI ETFs into those with AI names and those without AI names. The results show that the constituent stocks of AI ETFs with AI names have approximately 0.4% more cumulative abnormal returns (CARs) than those of AI ETFs without AI names over the event period, confirming that ETF names also generate name premiums for constituent stocks. This study complements Cooper et al. (2001) by suggesting that derivative names also generate name premiums on underlying assets." @default.
- W3201518392 created "2021-09-27" @default.
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- W3201518392 date "2022-05-01" @default.
- W3201518392 modified "2023-09-27" @default.
- W3201518392 title "What's an AI name worth? The impact of AI ETFs on their underlying stocks" @default.
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- W3201518392 doi "https://doi.org/10.1016/j.frl.2021.102474" @default.
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