94 citations · 100 across the 4 of their papers we have counts for
5 papers
Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market Frictions
Kemal Kirtac
Financial language models can transform unstructured firm-specific news into structured decision signals, but financial AI research lacks an integrated deployment framework for eva…
ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shift
Kemal Kirtac, Carsten Maple
Ethereum decentralized finance (DeFi) provides a public, time-stamped record of transaction-level event streams, but the same public symbols can create strong machine-learning shor…
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…
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…
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…