3 papers
q-fin.TR2026
Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification
Kemal Kirtac
This paper studies whether a lightweight supervised aggregator can combine diverse zero-shot large language model outputs into a stronger downstream signal for corporate disclosure…
q-fin.ST2025
Large language models in finance : what is financial sentiment?
Kemal Kirtac, Guido Germano
Financial sentiment has become a crucial yet complex concept in finance, increasingly used in market forecasting and investment strategies. Despite its growing importance, there re…
q-fin.CP2024
Sentiment trading with large language models
Kemal Kirtac, Guido Germano
We investigate the efficacy of large language models (LLMs) in sentiment analysis of U.S. financial news and their potential in predicting stock market returns. We analyze a datase…