Quant research, ranked weekly.

1. arXiv · No. 101

   AI Equity Research Without Future Data

   Investor's Last Exam benchmarks AI agents on frozen financial databases, finding leading models score 68.1 overall yet only 52.5 on forecast accuracy.

   Fanfare 4ML & AI Methods
   
2. SSRN · No. 102

   AI Monoculture Paradox in Markets

   Fanfare 4ML & AI Methods

   When traders adopt more precise but common AI signals, synchronized order flow can outweigh forecast gains, reducing collective profits despite higher individual precision, a paradox that taxes can help resolve.

3. RePEc · No. 103

   150 Years of US Inflation Expectations

   Fanfare 4Econometrics & Forecasting
   
4. RePEc · No. 204

   US Monetary Policy Spillovers in Commercial Real Estate

   Fanfare 4Macro-Finance & Rates
   
5. arXiv · No. 205

   Fragility Of Synchronized Agentic Wealth Management

   Fanfare 3ML & AI Methods
   

1. Alternative data

   3.8×
   This week9

   Typical2.4

   1.8% of this week's 488 new papers, 3.7x its share over the previous 5 weeks (0.5%).

2. Climate and ESG

   1.4×
   This week60

   Typical41.8

   12.3% of this week's 488 new papers, 1.4x its share over the previous 5 weeks (8.6%).

   In this issue

   • Non-Linear Governance Premium in FDI Flows
   • EU ETS Carbon Leakage via Trade
   • Common Ownership Across 49 Countries

3. Graph neural networks

   2.2×
   This week9

   Typical4.1

   1.8% of this week's 488 new papers, 2.2x its share over the previous 5 weeks (0.8%).

   In this issue

   • LLM-Enhanced Graphs for Financial Fraud Detection

The radar, explained →

1. 526

   FinGPT: Open-Source Financial Large Language Models

   Featured 14 Jun 2023, 5 days after release

2. 275

   FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design

   Featured 29 Nov 2023, 6 days after release · IEEE Transactions on Big Data

3. 250

   HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction

   Featured 15 Aug 2024, 6 days after release · Proceedings of the 5th ACM International Conference on AI in Finance

4. 247

   TradingAgents: Multi-Agents LLM Financial Trading Framework

   Featured 1 Jan 2025, 4 days after release

5. 195

   TKAN: Temporal Kolmogorov-Arnold Networks

   Featured 15 May 2024, 3 days after release

6. 147

   Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

   Featured 28 Jun 2023, 6 days after release

The full track record →

30 October 2026Week 5

No. 137 · October 2026, Week 5

This week centers on AI agent fragility in financial markets, real-time benchmark design preventing memorization, and cryptographic signals predicting equities. AI Equity Research Without Future Data reveals forecast accuracy well below overall performance; Fragility Of Synchronized Agentic Wealth Management quantifie…

1. AI Equity Research Without Future Data
2. AI Monoculture Paradox in Markets
3. 150 Years of US Inflation Expectations

90 papers · arXiv 30 · SSRN 30 · RePEc 30

23 October 2026Week 4

No. 136 · October 2026, Week 4

This week spans AI risk in trading, neural microstructure learning, and the frontier's limits. Key tensions emerge: LLM traders fall to information attacks while benchmarks show no leading model beats equal-weight; neural filters cut arbitrage uncertainty eightfold yet ML VaR models hide regime-shift failures. Mean-fi…

1. Information Injection Attacks on LLM Traders
2. ML Value-at-Risk Validation Under Regime Shifts
3. AI Productivity Gains Boost GDP Growth

90 papers · arXiv 30 · SSRN 30 · RePEc 30

16 October 2026Week 3

No. 135 · October 2026, Week 3

This week pivots toward machine learning in discovery and execution. Foundation models learn market regimes from order flow; genetic programming and RL agents discover alpha factors across assets and frequencies. But a survey of 47 LLM trading systems finds reported margins vanish on retest, and a massive pre-register…

1. Foundation Models Learn Market Regimes
2. LLM-Based Trading Systems Survey
3. Large Language Models in Economics Research

90 papers · arXiv 30 · SSRN 30 · RePEc 30

9 October 2026Week 2

No. 134 · October 2026, Week 2

This week centers on AI systemic risk, factor discovery limits, and monetary transmission channels. Agentic AI systems create non-diversifiable contagion floors despite fleet size; automated factor mining shows no paradigm dominates; and Fed policy transmits primarily through risk appetite shifts rather than rates. Se…

1. Agentic AI and Systemic Financial Risk
2. Quantitative Equity Evolution: Constraints and Alpha Decay
3. Risk Appetite and Monetary Transmission

90 papers · arXiv 30 · SSRN 30 · RePEc 30

2 October 2026Week 1

No. 133 · October 2026, Week 1

This week centers on AI's expanding role in trading and markets, alongside persistent microstructure patterns and monetary policy transmission. Key papers: "AI Trading Methods: Backtests Versus Real Markets" measures the live-market gap for machine learning and LLM strategies; "Certified Alpha Capacity and Decay" deri…

1. Certified Alpha Capacity and Decay
2. Bond Signals Predict Next-Month Equity Returns
3. AI and Corporate Bond Pricing

90 papers · arXiv 30 · SSRN 30 · RePEc 30

25 September 2026Week 4

No. 132 · September 2026, Week 4

This week balances methodological rigor with practical market insights. Tail risk estimation and time-series validation trade-offs address foundational modeling challenges, while label engineering and LLM look-ahead bias expose common pitfalls in factor and AI development. Key reads: Semi-Discrete Optimal Transport, T…

1. Tail Risk via Semi-Discrete Optimal Transport
2. Artificial Intelligence and Financial Markets
3. Agentic AI Systems Beat Asset Pricing Benchmarks

90 papers · arXiv 30 · SSRN 30 · RePEc 30

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