Information Games model analyzes firm repositioning in language-model space
Original title: Information Games: Strategic Crowding and Firm Repositioning in Language-Model Space
Model examines competitive capacity adjustments using news articles, analyst reports, and multi-agent simulation for Nasdaq companies 2018-2022.
The paper builds a model of costly competitive adjustment where firms allocate capacity to free cash flow shocks. It employs a novel sandwich estimator to analyze adjustments based on public disclosures. Findings are validated through multi-agent simulation on samples of news and analyst reports from Nasdaq-listed companies between 2018 and 2022.
- Sandwich estimator for adjustment sign and magnitude
- Multi-agent simulation of capacity choices
- Validation on 2018-2022 Nasdaq news and reports
- Building on Xu et al. (2022)
- Dense vector clouds represent firm information geometry
From the original article
1 min read at huggingface.co
When firms respond to new market opportunities, their capacity choices alter the future discounted free cash flows available to both competitors and investors. In competitive markets, these investment decisions publicized in news articles and analyst reports, measuring the changes in capital structure, product mix, firm leadership, risk exposure and operating procedure made by the firm.
By Marcus Gawronsky, Chun-Sung Huang · huggingface.co
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