Paper: arXiv 2305.12739
Authors: Aman Saggu, Lennart Ante
Abstract
The introduction of OpenAI’s large language model, ChatGPT, catalyzed investor attention towards artificial intelligence (AI) technologies, including AI-related crypto assets not directly related to ChatGPT. Utilizing the synthetic difference-in-difference methodology, we identify significant ‘ChatGPT effects’ with returns of AI-related crypto assets experiencing average returns ranging between 10.7% and 15.6% (35.5% to 41.3%) in the one-month (two-month) period after the ChatGPT launch. Furthermore, Google search volumes, a proxy for attention to AI, emerged as critical pricing indicators for AI-related crypto post-launch. We conclude that investors perceived AI-assets as possessing heightened potential or value after the launch, resulting in higher market valuations.
Complexity vs Empirical Score
- Math Complexity: 4.5/10
- Empirical Rigor: 6.0/10 (capped from 7.5: transaction costs not modelled; no out-of-sample test; see penalty flags)
- Quadrant: Street Traders — practical and empirical, lighter on theory
Why this score: The paper applies a rigorous causal inference methodology (synthetic difference-in-differences) to a novel and timely topic in crypto finance. While mathematical derivations are minimal, the empirical design, control validation, and clear identification of market narrative shifts make for a strong empirical contribution.
Research Flowchart
flowchart TD
A[Research Goal: Assess ChatGPT's Impact on AI-Related Crypto Asset Returns] --> B[Data Inputs: Crypto Asset Returns & Google Search Volumes]
B --> C[Methodology: Synthetic Difference-in-Difference SDID]
C --> D[Analysis: Compare Post-Launch AI-Crypto Returns vs. Synthetic Control]
D --> E[Key Finding 1: 10.7%-15.6% 1-Month & 35.5%-41.3% 2-Month Excess Returns]
D --> F[Key Finding 2: AI Google Search Volume Became a Key Pricing Indicator Post-Launch]