Cover Image

An Information Bottleneck Asset Pricing Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Sun, Che
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empirical Asset Pricing with Large Language Model Agents
by: Cheng, Junyan, et al.
Published: (2024)

Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)

Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
by: Lee, Hyeongmin, et al.
Published: (2026)

Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting
by: Makri, Eftychia, et al.
Published: (2025)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
by: Hu, Linyue, et al.
Published: (2025)

Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
by: Li, Xiang, et al.
Published: (2025)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
by: Lin, Runsheng, et al.
Published: (2025)

GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
by: Kim, Minjoo, et al.
Published: (2025)

IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
by: Kim, Jinwoong, et al.
Published: (2025)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
by: Sha, Xinye
Published: (2024)

CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)

Diffusion Large Language Models for Black-Box Optimization
by: Yuan, Ye, et al.
Published: (2026)

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
by: Ding, Hongcheng, et al.
Published: (2024)

Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
by: Zhang, Linwei, et al.
Published: (2025)

Enriching Location Representation with Detailed Semantic Information
by: Liu, Junyuan, et al.
Published: (2025)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)

Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
by: Alruqimi, Mohammed, et al.
Published: (2024)

Modeling the Evolutionary Trends in Corporate ESG Reporting: A Study based on Knowledge Management Model
by: Xia, Ziyuan, et al.
Published: (2023)

Comparative Analysis of Formula and Structure Prediction from Tandem Mass Spectra
by: Che, Xujun, et al.
Published: (2026)

Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis
by: Tondapu, Narayan
Published: (2024)

Deep Reinforcement Learning Algorithms for Option Hedging
by: Neagu, Andrei, et al.
Published: (2025)

QuantBench: Benchmarking AI Methods for Quantitative Investment
by: Wang, Saizhuo, et al.
Published: (2025)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
by: Li, Haohang, et al.
Published: (2024)

Quantum Computing for Multi Period Asset Allocation
by: Sun, Queenie, et al.
Published: (2024)

Wildfire Suppression: Complexity, Models, and Instances
by: Delazeri, Gustavo, et al.
Published: (2026)

Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization
by: Gollwitzer, Arvid E., et al.
Published: (2026)

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
by: Guo, Qiming, et al.
Published: (2025)

Compressing Large Language Models with PCA Without Performance Loss
by: Bengtsson, Magnus
Published: (2025)

Representation Without Control: Testing the Realization Effect in Language Models
by: Walsh, Ciarán, et al.
Published: (2026)

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality
by: Zeng, Yifan
Published: (2025)

Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data
by: Zhang, Zhi, et al.
Published: (2025)

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
by: Zheng, Li, et al.
Published: (2025)

Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior Prediction
by: Wei, Ting-Ju, et al.
Published: (2024)

DiffDA: a Diffusion Model for Weather-scale Data Assimilation
by: Huang, Langwen, et al.
Published: (2024)

A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
by: Singh, Aditi, et al.
Published: (2024)

From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design
by: Picard, Cyril, et al.
Published: (2023)