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Financial Analysis

Papers

Showing 5175 of 93 papers

TitleStatusHype
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance0
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis0
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability0
Form 10-K Itemization0
General properties of the Solutions to Moving Boundary Problems for Black-Sholes Equations0
GPT-3 Models are Few-Shot Financial Reasoners0
Green portfolio optimization: A scenario analysis and stress testing based novel approach for sustainable investing in the paradigm Indian markets0
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach0
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation0
Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations0
Integrating the implied regularity into implied volatility models: A study on free arbitrage model0
Long Short-Term Memory Pattern Recognition in Currency Trading0
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents0
Metadata Matters for Time Series: Informative Forecasting with Transformers0
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling0
Modelling financial returns with mixtures of generalized normal distributions0
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction0
Understanding and Enhancing Robustness of Concept-based Models0
Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets0
NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models.0
Value-at-Risk-Based Portfolio Insurance: Performance Evaluation and Benchmarking Against CPPI in a Markov-Modulated Regime-Switching Market0
Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting0
On the Evolution of Knowledge Graphs: A Survey and Perspective0
Prompt Sentiment: The Catalyst for LLM Change0
Quantum Powered Credit Risk Assessment: A Novel Approach using hybrid Quantum-Classical Deep Neural Network for Row-Type Dependent Predictive Analysis0
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