Quantitative Finance Paper Digest: Key AI‑Driven Research Highlights (Feb 21‑27 2026)

This article curates six recent quantitative‑finance papers, covering Bayesian portfolio policies, signed‑network dimensionality reduction, fine‑grained multi‑agent LLM trading, sentiment‑driven momentum prediction for AAPL, event‑driven hierarchical‑gated reward trading, and a lightweight multi‑model anchoring framework for financial forecasting, summarizing each study’s methodology and empirical results.

Bayesian methodsLarge Language ModelsQuantitative Finance

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Quantitative Finance Paper Digest: Key AI‑Driven Research Highlights (Feb 21‑27 2026)

Model Perspective

Feb 1, 2024 · Fundamentals

Essential Guide to Probability Models: Monte Carlo, Markov, Queueing & Bayesian Resources

This article compiles recent model articles for students, summarizing key resources on probability models, including Monte Carlo simulation, Markov processes, queueing theory, and Bayesian methods, with links to detailed explanations and applications.

Bayesian methodsMarkov processMonte Carlo

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Essential Guide to Probability Models: Monte Carlo, Markov, Queueing & Bayesian Resources

AntTech

Nov 21, 2022 · Artificial Intelligence

An Adaptive Framework for Confidence-Constraint Rule Set Learning in Large Datasets

The paper introduces a constraint‑adaptive rule‑set learning framework (CRSL) that combines a constraint‑aware decision‑tree miner (CARM), a rule‑sorting filter, and a Bayesian rule‑combination selector (CBRS), achieving superior performance and interpretability on benchmark and massive industrial fraud‑detection data and being deployed in Alipay’s risk‑analysis platform.

Bayesian methodsDecision Treesconstraint optimization

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An Adaptive Framework for Confidence-Constraint Rule Set Learning in Large Datasets

Model Perspective

Nov 9, 2022 · Fundamentals

Explore Key Probability & Monte Carlo Models: Curated Resource List

This article compiles recent resources on probability and statistical modeling, covering Monte Carlo simulation, Markov processes, queueing theory, and Bayesian methods, providing direct links to each detailed write‑up for students and researchers seeking comprehensive study material.