Cover Image

FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiangyu, Shen, Xinjie, Zeng, Yawen, Xing, Xiaofen, Xu, Jin
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QuantAgents: Towards Multi-agent Financial System via Simulated Trading
by: Li, Xiangyu, et al.
Published: (2025)

Profit Mirage: Revisiting Information Leakage in LLM-based Financial Agents
by: Li, Xiangyu, et al.
Published: (2025)

HedgeAgents: A Balanced-aware Multi-agent Financial Trading System
by: Li, Xiangyu, et al.
Published: (2025)

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures
by: Zhang, Fan, et al.
Published: (2026)

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
by: Ghosh, Sohom, et al.
Published: (2025)

Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications
by: Zakir, Umair, et al.
Published: (2025)

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
by: Jin, Song, et al.
Published: (2025)

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools
by: Han, Shijie, et al.
Published: (2025)

ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction
by: Cao, Yupeng, et al.
Published: (2024)

Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models
by: Liu, Yi, et al.
Published: (2025)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
by: Wang, Meiyun, et al.
Published: (2024)

IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems
by: Zhang, Xinjie, et al.
Published: (2025)

Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
by: Gyawali, Nikesh, et al.
Published: (2025)

Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset
by: Liu, Rui, et al.
Published: (2024)

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)

Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
by: Ding, Zifeng, et al.
Published: (2025)

Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
by: Jin, Mingyu, et al.
Published: (2026)

DataMan: Data Manager for Pre-training Large Language Models
by: Peng, Ru, et al.
Published: (2025)

FinS-Pilot: A Benchmark for Online Financial RAG System
by: Wang, Feng, et al.
Published: (2025)

When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning
by: Zhang, Xiaoyun, et al.
Published: (2025)

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
by: Wang, Haoming, et al.
Published: (2025)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)

Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
by: Xu, Borui, et al.
Published: (2025)

Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
by: Park, Sungwon, et al.
Published: (2024)

HiCI: Hierarchical Construction-Integration for Long-Context Attention
by: Zeng, Xiangyu, et al.
Published: (2026)

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
by: Liu, Shu, et al.
Published: (2024)

ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
by: Li, Minghao, et al.
Published: (2025)

KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models
by: Ju, Yiming, et al.
Published: (2023)

Analyzing Nobel Prize Literature with Large Language Models
by: Yang, Zhenyuan, et al.
Published: (2024)

Enhancing Safety of Large Language Models via Embedding Space Separation
by: Zhao, Xu, et al.
Published: (2026)

C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
by: Qin, Jin, et al.
Published: (2025)

FinLLM-B: When Large Language Models Meet Financial Breakout Trading
by: Zhang, Kang, et al.
Published: (2024)

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
by: Zhu, Jie, et al.
Published: (2026)

TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health
by: Xiong, Zixin, et al.
Published: (2026)

UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos
by: Yang, Zhi, et al.
Published: (2026)

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
by: Xu, Ningyu, et al.
Published: (2024)

FinSight: Towards Real-World Financial Deep Research
by: Jin, Jiajie, et al.
Published: (2025)

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
by: Li, Xin, et al.
Published: (2024)