Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Minwu, Benabderrahmane, Sidahmed, Rahwan, Talal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond the Black Box: Interpretability of LLMs in Finance
by: Tatsat, Hariom, et al.
Published: (2025)
by: Tatsat, Hariom, et al.
Published: (2025)
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
by: Kim, Namhyoung, et al.
Published: (2026)
by: Kim, Namhyoung, et al.
Published: (2026)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)
by: Zhu, Enmin, et al.
Published: (2024)
MambaStock: Selective state space model for stock prediction
by: Shi, Zhuangwei
Published: (2024)
by: Shi, Zhuangwei
Published: (2024)
Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
by: Pathan, Arif
Published: (2025)
by: Pathan, Arif
Published: (2025)
Sentiment-Aware Mean-Variance Portfolio Optimization for Cryptocurrencies
by: Chen, Qizhao
Published: (2025)
by: Chen, Qizhao
Published: (2025)
International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)
by: Peik, Arash, et al.
Published: (2025)
Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)
by: Siala, Walid, et al.
Published: (2026)
Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)
by: Estornell, Andrew, et al.
Published: (2024)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Block-diagonal idiosyncratic covariance estimation in high-dimensional factor models for financial time series
by: Žignić, Lucija, et al.
Published: (2024)
by: Žignić, Lucija, et al.
Published: (2024)
Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks
by: Clegg, Lawrence, et al.
Published: (2023)
by: Clegg, Lawrence, et al.
Published: (2023)
Large and Deep Factor Models
by: Kelly, Bryan, et al.
Published: (2024)
by: Kelly, Bryan, et al.
Published: (2024)
Transforming Japan Real Estate
by: Haque, Diabul
Published: (2024)
by: Haque, Diabul
Published: (2024)
The Hype Index: an NLP-driven Measure of Market News Attention
by: Cao, Zheng, et al.
Published: (2025)
by: Cao, Zheng, et al.
Published: (2025)
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)
by: Zhao, Lifan, et al.
Published: (2023)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)
by: Peik, Arash, et al.
Published: (2024)
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)
by: Din, Riaz Ud, et al.
Published: (2024)
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Multifractality and its sources in the digital currency market
by: Drożdż, Stanisław, et al.
Published: (2025)
by: Drożdż, Stanisław, et al.
Published: (2025)
Detrended cross-correlations and their random matrix limit: an example from the cryptocurrency market
by: Drożdż, Stanisław, et al.
Published: (2025)
by: Drożdż, Stanisław, et al.
Published: (2025)
Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization
by: Kim, Minseop, et al.
Published: (2026)
by: Kim, Minseop, et al.
Published: (2026)
CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
by: Shi, Yumeng, et al.
Published: (2025)
by: Shi, Yumeng, et al.
Published: (2025)
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
by: Sugiura, Issa, et al.
Published: (2025)
by: Sugiura, Issa, et al.
Published: (2025)
Correlations versus noise in the NFT market
by: Wątorek, Marcin, et al.
Published: (2024)
by: Wątorek, Marcin, et al.
Published: (2024)
Filtering amplitude dependence of correlation dynamics in complex systems: application to the cryptocurrency market
by: Wątorek, Marcin, et al.
Published: (2025)
by: Wątorek, Marcin, et al.
Published: (2025)
PMI-DT: Leveraging Digital Twins and Machine Learning for Predictive Modeling and Inspection in Manufacturing
by: Hamel, Chas, et al.
Published: (2024)
by: Hamel, Chas, et al.
Published: (2024)
Approaching multifractal complexity in decentralized cryptocurrency trading
by: Wątorek, Marcin, et al.
Published: (2024)
by: Wątorek, Marcin, et al.
Published: (2024)
Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)
by: Wisniewski, Wojciech, et al.
Published: (2024)
An adaptive network-based approach for advanced forecasting of cryptocurrency values
by: Mehrban, Ali, et al.
Published: (2024)
by: Mehrban, Ali, et al.
Published: (2024)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
Improving the Accuracy of Transaction-Based Ponzi Detection on Ethereum
by: Huynh, Phuong Duy, et al.
Published: (2023)
by: Huynh, Phuong Duy, et al.
Published: (2023)
ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)
by: Zeng, Liang, et al.
Published: (2021)
Improving the Equation of Exchange for Cryptoasset Valuation Using Empirical Data
by: Kampakis, Stylianos, et al.
Published: (2024)
by: Kampakis, Stylianos, et al.
Published: (2024)
Similar Items
-
Beyond the Black Box: Interpretability of LLMs in Finance
by: Tatsat, Hariom, et al.
Published: (2025) -
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
by: Kim, Namhyoung, et al.
Published: (2026) -
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026) -
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024) -
MambaStock: Selective state space model for stock prediction
by: Shi, Zhuangwei
Published: (2024)