arXiv (All)
open access
Understanding Sectoral Responses to Tariff Uncertainty via a High-Dimensional Mediation Analysis
This paper conducts an empirical mediation analysis to examine how U.S. stock-market sectors responded to the 2025 tariff-policy episode. Using S&P 500 stock data along with hundreds of firm-level financial variables, we study whether sector membership was associated with differences in stock return
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact#999591
- Dataset of the Study Tech Trade Resilience across the US, China, and European Economies#1148362
- The impact of Corporate governance on firm performance: A study of high-growth companies listed on the JSE ALTX#197875
- Toward a Total Causal Error Framework: Extending Cornfield’s Insights Across Causal Identification, Representation, and Measurement.#1080764
- Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact#673491
Record · ID 1118954
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive