# Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets

arXiv: https://arxiv.org/abs/2504.04292 · HTML: https://mlsanity.com/paper/2504.04292/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 30 of its 34 references that are in the map.
- First posted on arXiv 5 Apr 2025.

## Builds on (most cited first, 30 of 30)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Training language models to follow instructions with human feedback](https://mlsanity.com/paper/2203.02155/) (2022)
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- [Cross-Entropy Loss Functions: Theoretical Analysis and Applications](https://mlsanity.com/paper/2304.07288/) (2023)
- [CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims](https://mlsanity.com/paper/2012.00614/) (2020)
- [Cross-Modal Translation and Alignment for Survival Analysis](https://mlsanity.com/paper/2309.12855/) (2023)
- [MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge](https://mlsanity.com/paper/1803.05223/) (2018)
- [Large Language Model Adaptation for Financial Sentiment Analysis](https://mlsanity.com/paper/2401.14777/) (2024)
- [NoReC: The Norwegian Review Corpus](https://mlsanity.com/paper/1710.05370/) (2017)
- [The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI](https://mlsanity.com/paper/2410.04931/) (2024)
- [Decision support system for Forest fire management using Ontology with Big Data and LLMs](https://mlsanity.com/paper/2405.11346/) (2024)
- [Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models](https://mlsanity.com/paper/2411.01368/) (2024)
- [Real-Time Driver Monitoring Systems through Modality and View Analysis](https://mlsanity.com/paper/2210.09441/) (2022)
- [Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning](https://mlsanity.com/paper/2404.08081/) (2024)
- [What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs](https://mlsanity.com/paper/2406.15508/) (2024)
- [CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association](https://mlsanity.com/paper/2409.04937/) (2024)
- [Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets](https://mlsanity.com/paper/2407.19352/) (2024)
- [Monitoring Human Dependence On AI Systems With Reliance Drills](https://mlsanity.com/paper/2409.14055/) (2024)
- [Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls](https://mlsanity.com/paper/2411.13447/) (2024)
- [Asset Ownership Identification: Using machine learning to predict enterprise asset ownership](https://mlsanity.com/paper/2312.10266/) (2023)
- [Towards AI-driven Integrative Emissions Monitoring & Management for Nature-Based Climate Solutions](https://mlsanity.com/paper/2312.11566/) (2023)
- [Signal Quality Auditing for Time-series Data](https://mlsanity.com/paper/2402.00803/) (2024)
- [Real-time accident detection and physiological signal monitoring to enhance motorbike safety and emergency response](https://mlsanity.com/paper/2403.19085/) (2024)
- [The Road to Compliance: Executive Federal Agencies and the NIST Risk Management Framework](https://mlsanity.com/paper/2405.07094/) (2024)
- [Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages](https://mlsanity.com/paper/2406.04519/) (2024)
- [Cross-Lingual Multi-Hop Knowledge Editing](https://mlsanity.com/paper/2407.10275/) (2024)
- [CrossInspector: A Static Analysis Approach for Cross-Contract Vulnerability Detection](https://mlsanity.com/paper/2408.15292/) (2024)
- [Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillation](https://mlsanity.com/paper/2409.18999/) (2024)
- [Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications](https://mlsanity.com/paper/2410.15846/) (2024)
- [Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework](https://mlsanity.com/paper/2411.16972/) (2024)

## Built on by (most cited first, 2 of 2)

- [ToolGate: Contract-Grounded and Verified Tool Execution for LLMs](https://mlsanity.com/paper/2601.04688/) (2026)
- [SkillForge: Compositional Skill Synthesis with Verification-in-the-Loop for Generating Formally Verified Dafny Programs](https://mlsanity.com/paper/2608.29841/) (2026)

## Abstract (arXiv)

Large language models (LLMs) have emerged as powerful tools in the field of finance, particularly for risk management across different asset classes. In this work, we introduce a Cross-Asset Risk Management framework that utilizes LLMs to facilitate real-time monitoring of equity, fixed income, and currency markets. This innovative approach enables dynamic risk assessment by aggregating diverse data sources, ultimately enhancing decision-making processes. Our model effectively synthesizes and analyzes market signals to identify potential risks and opportunities while providing a holistic view of asset classes. By employing advanced analytics, we leverage LLMs to interpret financial texts, news articles, and market reports, ensuring that risks are contextualized within broader market narratives. Extensive backtesting and real-time simulations validate the framework, showing increased accuracy in predicting market shifts compared to conventional methods. The focus on real-time data integration enhances responsiveness, allowing financial institutions to manage risks adeptly under varying market conditions and promoting financial stability through the advanced application of LLMs in risk analysis.