Annual Conference

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Tech, Digital Markets and AI

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May 2025

As the latest general-purpose-technology (GPT), AI technologies have recently started to diffuse from the general sector (IT industry) to the application sectors of AI (non-IT industries) at scale. To understand the benefits of AI innovations in application sectors, we study the value of AI innovati...
Keywords: Artificial Intelligence, Innovation, Valuation
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Annual Conference

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Tech, Digital Markets and AI

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May 2025

Science-based R&D can deter venture capitalists due to high technical uncertainty. We study whether mission-oriented public funding—supplying basic science as a public good—fosters VC investment. Our quasi-natural experiment is the BRAIN Initiative (BI), a large-scale government program aime...
Keywords: Venture Capital, innovation, academic entrepreneurship, government policy, machine learning
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Annual Conference

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Tech, Digital Markets and AI

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May 2025

This paper proposes a novel measure of investment companies’ reliance on generative AI, focusing on its implications for hedge funds. We document a sharp increase in generative AI usage by hedge funds after ChatGPT’s 2022 launch. A difference-in-differences test shows that hedge funds adopting g...
Keywords: Generative AI (GenAI), ChatGPT, Hedge Funds, GenAI Reliance, Portfolio Return, Alpha, Survey, AI Disparity
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Annual Conference

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Tech, Digital Markets and AI

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May 2025

We study the depositors’ reaction to the disclosure of consumer complaints about their banks. Using the Consumer Financial Protection Bureau (CFPB) complaints data, we find banks subject to prudential CFPB oversight that receive consumer complaints experience a decline in uninsured deposits and re...
Keywords: Disclosure, CFPB, Consumer complaints, AI, LLM, ChatGPT
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Annual Conference

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Tech, Digital Markets and AI

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May 2025

We develop firm-level measures of input and output price changes based on textual analysis of earnings calls. Our measures establish five facts: (1) The median firm experiences an increase (decrease) in input prices every 7 (30) months. (2) Input price changes are driven by aggregate and firm specif...
Keywords: Input price changes, pass through, Earnings conference calls, deep learning, stock returns
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