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Quant LetterNo. 115

October 2025, Week 2

130 items across 9 sections, as sent to readers on 9 October 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

Quantitative-finance and ML-for-finance preprints from arXiv.

35 items

Finance10

01

Panel Regression CEE GDP

The economic growth in Central and Eastern European countries due to their integration into the European Economic Area is largely influenced by private debt.

16 shares1 citation todaySource ↗

02

Short-Rate Models Discontinuities

The paper explores the transition from interbank offered rates to risk-free rates, introducing a new method for pricing interest rate derivatives.

14 shares1 citation todaySource ↗

03

Quantum Logic Financial AI

The potential of quantum logic in advancing artificial intelligence applications in financial modeling is discussed.

10 shares2 citations todaySource ↗

04

Nonparametric Impact Estimation

A new estimator for concave multi-asset propagator models is introduced, showing significant improvement in explanatory power when cross-impact is included.

8 shares1 citation todaySource ↗

05

Coherent Risk Measure Estimation

A new statistical framework is developed for risk estimation, defining coherent risk estimators and providing a method for creating estimators with reliable financial and statistical properties.

6 shares2 citations todaySource ↗

06

Friction-Aware Policy Optimization

FR-LUX is a new reinforcement learning framework that learns trading policies and remains stable across different market conditions, offering high average Sharpe ratio and excellent risk-return efficiency.

6 sharesSource ↗

07

Signed Network Models for Portfolio

The study shows that using negative edges in weighted signed network representations of financial markets can help reduce portfolio risk, performing on par with traditional models.

6 shares5 citations todaySource ↗

08

Inverse Portfolio Optimization with Investor Data

The research introduces an inverse portfolio optimization framework that can deduce latent investor preferences from observed portfolio allocations, offering a robust tool for preference inference and portfolio design.

6 sharesSource ↗

09

Robust Pricing and Hedging

The paper explores the pricing and hedging of American options in a continuous time setting, proving the pricing-hedging duality and equating American options with European options in an expanded space.

6 sharesSource ↗

10

Recovering Risk Preferences

The article introduces an inverse portfolio optimization framework that can accurately recover transaction cost parameters and sublinear regret from observed portfolio allocations, even under unpredictable market conditions.

6 sharesSource ↗

Economics7

01

Bayesian Portfolio Optimization

The article discusses a portfolio optimization technique using Bayesian predictive synthesis, which merges various asset return prediction models to handle financial market uncertainty.

19 shares2 citations todaySource ↗

02

Predictive Economics

The article introduces predictive economics, a unique analytical approach in economics that combines machine learning, interpretability, and theoretical structure for better out-of-sample performance.

8 sharesSource ↗

03

Dynamic Peer Review Solution

The article proposes a model for the scientific peer review process, arguing that enabling authors to contest initial rejections can produce results closer to the ideal.

7 sharesSource ↗

04

Gas Price Shocks in Italy

The study shows that Italian firms' pricing and inflation expectations are significantly affected by natural gas price shocks, especially during the post-COVID period due to supply disruptions from Russia's Ukraine invasion.

5 sharesSource ↗

05

Free Cesarean Sections in Benin

Research indicates that Benin's free cesarean section policy reduces infant mortality but increases maternal mortality, resulting in lower fertility and decreased maternal labor supply after birth.

5 sharesSource ↗

06

Power System Flexibility for Decarbonization

The study suggests that a nearly 100% renewable electricity sector-coupled energy system is technically feasible and economically viable, with power system flexibility impacting long-term pathways via price differentiation.

5 shares6 citations todaySource ↗

07

Labor Market Reforms Impact in Benin

Research reveals that Benin's 2017 labor market reform, which lowered firing costs and allowed unlimited renewal of short-term contracts, led to increased formal employment, decreased informal employment, and higher wages.

5 sharesSource ↗

Miscellaneous5

01

Gini Model Monitoring for Insurance Pricing

The research explores concept drift in non-life insurance pricing, offering an overview of methods, performance metrics, and a monitoring process to determine when model adjustments are required.

10 shares1 citation todaySource ↗

04

TailSafe Hedging with Reinforcement Learning

The research presents Tail-Safe, a derivative hedging framework that blends reinforcement learning with a safety layer designed for financial constraints, ensuring robust forward invariance of the safe set under limited model mismatch.

6 sharesSource ↗

05

Granger-Causal Hypergraph Transformer for Forecasting

The research suggests the CSHT, a new architecture for financial time-series forecasting that considers the impact of financial news and sentiment on asset returns, providing robust generalisation across market regimes and clear attribution pathways.

5 shares3 citations todaySource ↗

Crypto & Blockchain5

01

Microstructure Analysis of CFMM Coupling

The article investigates the impact of smart contract protocols on market dynamics, focusing on their influence on price drift, trade size, and market depth in coupled markets.

7 shares1 citation todaySource ↗

03

Smart Contract Adoption in Derivative Markets

The paper introduces a design framework for smart contract-based resource allocation, aiming to balance efficiency and fairness in decentralized systems, validated through tests and a real-world case study.

6 sharesSource ↗

04

Smart Contract Adoption under Bounded Risk

The research combines structural theory with real-world validation to analyze the adoption of smart contracts under bounded risk, showing that while adoption choices are robust, their financial outcomes are fragile.

5 sharesSource ↗

05

Smart Contract Adoption with Overdispersed Demand

The paper presents an optimization framework that merges dynamic Negative Binomial demand modeling with smart contract adoption, offering guidance for balancing inventory costs, service levels, and implementation expenses in high-variance demand scenarios.

5 sharesSource ↗

Historical Trending8

01

APEX AI Model Benchmarking

The AI Productivity Index (APEX) is a new tool for evaluating the economic impact of AI models in sectors like investment banking, consulting, law, and healthcare.

64 shares10 citations todaySource ↗

02

Online Electricity Price Forecasting

A new online algorithm enhances the accuracy and speed of electricity price forecasting, performing better than other benchmarks in a study of the German day-ahead market.

29 shares5 citations todaySource ↗

03

Labour Unions in Neoliberal Regimes

The article discusses the influence of neoliberalism on labor unions in Turkey and Egypt, emphasizing the role of authoritarianism and suppression of dissenting unions in neoliberal restructuring.

26 shares11 citations todaySource ↗

04

Meanfield Theory of Santa Fe Model

The Santa Fe model, a tool for analyzing the stochastic dynamics of the limit order book, is reevaluated using kinetic theory, revealing a mistake in the original scaling law for the diffusion constant.

24 sharesSource ↗

07

School Efficiency Gaps in Latin America

A study reveals a cognitive efficiency gap favoring private schools in Latin America, with home resources, school climate, and work intensity being key efficiency determinants.

15 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance6

01

Enhanced EM Portfolios with AATS

The rise of algorithmic trading and passive investing has caused issues during market downturns, but a new Automated Adaptive Trading System could help stabilize emerging markets during such periods.

27 sharesSource ↗

04

Sharpe Ratio & Adaptive Market Hypothesis

The research finds that trading strategies based on Sharpe Ratio consistently yield better results than the buy-and-hold strategy in global markets, supporting the Adaptive Market Hypothesis.

15 sharesSource ↗

05

Novel Window Analysis for HFT Strategies

The study introduces a new window analysis method using the Whale Optimization Algorithm to identify stable trading strategies and companies, avoiding local extremes in decision-making units.

11 sharesSource ↗

06

Monitoring Poverty in Lebanon

The paper uses a new data augmentation technique to analyze poverty in the Middle East and North Africa, highlighting the significance of alternative data sources for poverty analysis using Lebanese data.

10 sharesSource ↗

Statistical5

01

Incomplete Data Prediction with BRM

The blockwise reduced modeling (BRM) method, which minimizes data imputation by pretraining models, is introduced for analyzing blockwise missing patterns in data, outperforming existing benchmarks.

20 sharesSource ↗

04

Investment Risk Management and News Sentiment

A reevaluation of the impact of news sentiment on stock return volatility shows that accurate news sentiment measurement significantly affects intraday stock return volatility, with GPT-4 outperforming RavenPack.

16 sharesSource ↗

Machine Learning7

01

Machine Learning for M&A

A study found that machine learning models are more effective than traditional methods in predicting Chinese corporate merger and acquisition activities.

28 sharesSource ↗

02

Tail Risk Management

New probabilistic deep learning frameworks have been proposed for estimating financial risk measures, improving capital allocation for financial institutions.

27 sharesSource ↗

03

Bond Market Volatility in China

Machine learning methods can accurately predict Chinese stock market volatility using the volatility of long-term treasury bond contracts, outperforming traditional models.

24 sharesSource ↗

04

Lot Streaming and Scheduling

The article proposes a new algorithm and machine learning model to improve efficiency and accuracy in the Lot Streaming and Scheduling Problem with stochastic product arrival times.

16 sharesSource ↗

05

Dynamics in Chinese Financial Markets

The paper introduces a new machine learning technique for analyzing and modeling complex time series, providing a potential alternative to the Box-Jenkins method in financial modeling.

13 sharesSource ↗

07

Housing Market Quantile Connectedness

The research uses machine learning and quantile connectedness models to study the global influence of the US housing market and its interest rates, emphasizing their significant impact on international housing market spillovers.

10 sharesSource ↗

Deep Learning2

01

Oil Price Forecasting: ML vs. DL

ML vs. DL: Deep learning methods have been found to be more effective than traditional machine learning in predicting oil prices, especially during crises.

31 sharesSource ↗

Historical Trending10

01

Predicting VIX Trends

The article discusses a study that uses machine learning to predict the CBOE Volatility Index, with weekly jobless claim data as a key factor.

23 sharesSource ↗

02

Stock Price Prediction

The study reveals that traditional machine learning models outperform deep learning models in predicting Eurozone banking sector stock prices.

13 sharesSource ↗

03

AI Capability Impact

The research indicates that AI capability directly affects firm performance, with a data-driven culture and AI infrastructure playing crucial roles.

5 sharesSource ↗

04

Climate Discussions

The article emphasizes the need for communication and a comprehensive approach to address climate change, using machine learning to analyze social media discussions on the subject.

4 sharesSource ↗

05

Dark Patterns in Retail

The study investigates the issue of deceptive tactics in the retail investment sector, suggesting the use of behavioral sciences and AI for better regulation and investor protection.

2 sharesSource ↗

06

Understanding Young Informal Workers in the EU

The study profiles young informal workers in the EU27 pre-pandemic, aiming to understand their situation and contribute to future research on the impact of Covid-19 on youth informality in the labour market.

2 sharesSource ↗

08

EGovernance Initiatives and Citizen Participation

The review explores the relationship between e-governance initiatives and citizen participation, highlighting the evolution of e-governance and identifying knowledge gaps, especially regarding the sustainability and impact of these initiatives.

2 sharesSource ↗

09

Bank Performance Determinants

The paper reviews literature on the factors influencing banks' performance, discussing main approaches and suggesting new research avenues, particularly in the context of digital transformation, artificial intelligence, and FinTechs.

1 sharesSource ↗

10

Work Need Satisfaction Scale in Online Gig Work

The study analyzes the Work Need Satisfaction Scale among online gig workers, suggesting the scale needs adaptation to better reflect the nuances of online platform work and inform interventions and platform designs that promote worker well-being.

1 sharesSource ↗

Machine learning

The general machine-learning papers the letter carried in 2023-25.

9 items

Historical Trending9

01

QLASS: Q-Guided Search

Q-Guided Search: QLASS system enhances language agents' performance by offering step-by-step guidance, improving decision-making in complex tasks.

189 shares19 citations todaySource ↗

02

Large Language Model Benchmark

Platinum benchmarks are introduced to test the reliability of large language models, showing their struggle with simple tasks like basic math problems.

57 shares54 citations todaySource ↗

03

ToddlerBot: ML-Compatible Platform

ML-Compatible Platform: ToddlerBot, an affordable, open-source humanoid robot, is launched for scalable policy learning and research in robotics and AI.

53 shares21 citations todaySource ↗

04

Masked Autoencoders for Diffusion

MAETok, an autoencoder, enhances high-resolution image synthesis by learning a semantically rich latent space, setting a new standard on ImageNet generation with just 128 tokens.

38 shares94 citations todaySource ↗

05

Dynamic 3D Video with NutWorld

NutWorld is a new framework that turns single-camera videos into 3D Gaussian representations, enhancing video quality and allowing for real-time use.

30 shares8 citations todaySource ↗

08

Scalable Tree Search with BFS-Prover

BFS-Prover is a new framework that shows how Best-First Tree Search can be effectively used in large-scale theorem proving tasks when properly scaled.

26 shares92 citations todaySource ↗

09

Training Dynamics in Deep Linear Networks

The paper explores the dynamics of gradient descent in deep linear networks, examining the impact of network width and hyperparameter transfer, and showing faster training dynamics for power law structured data.

26 shares17 citations todaySource ↗

GitHub

Repositories the letter featured.

10 items

Finance5

01

TensorFlow: ML Framework

ML Framework: The article talks about a universally accessible open-source framework for machine learning.

191,918 shares

02

AzulGarza TimeCopilot: GenAI Agent

GenAI Agent: TimeCopilot, a GenAI Forecasting Agent, is discussed for its ability to forecast and detect anomalies across sectors through an API.

201 shares

03

Tardis Machine: Market Data Server

Market Data Server: The article presents a local server that offers real-time and historical cryptocurrency data through HTTP and WebSocket APIs.

284 shares

Trending5

01

Fast CLI with Multiagent Orchestration

The article explores a high-speed coding CLI with browser integration, multi-agent theming, and reasoning control, compatible with agents from various providers including OpenAI and Claude Gemini.

1,885 shares

02

RustGPT: Transformer LLM

Transformer LLM: The article delves into the topic of a transformer-based Language Model (LLM).

2,771 shares

04

自建Claude Code镜像

The article talks about the development of a Claude Code mirror, an open-source transfer service that provides unified access to various subscriptions and supports cost-effective sharing.

3,791 shares

05

ShinkaEvolve: Program Evolution

Program Evolution: The article investigates ShinkaEvolve's strategy for open-ended and sample-efficient program evolution.

468 shares

News

Industry news: funds, hiring, markets and regulation.

20 items

Quantitative10

01

New Director at Temple Capital

Temple Capital has expanded its team by appointing Valerie Schaber as Director and Martin Boczek as Head of Capital Formation.

6 shares

02

AI Boosts WorldQuant Contest

WorldQuant's International Quant Championship has seen a record 80,000 university entrants this year, double from last year, due to AI advancements.

5 shares

04

Digital Assets Funds See Record Inflows

Digital asset investment products experienced a record $5.95bn inflow last week due to weak employment data and concerns over US government stability.

4 shares

05

Syed Introduces Fir Tree Strategy to Lighthouse

Faisal Syed and his team have transferred their hedge fund strategy from Fir Tree Partners to Lighthouse Group after Fir Tree decided to return external capital to investors.

4 shares

06

TMX Group acquires Verity

TMX Group has acquired US-based investment research provider Verity to boost its global data services through TMX Datalinx.

4 shares

09

Tech rally boosts Jericho Capital

Jericho Capital, led by Josh Resnick, made significant gains in tech stocks like AppLovin, Oracle, and Nvidia in 2025, according to Institutional Investor.

3 shares

10

Calamos and Aksia launch new hedge fund offering

Calamos and Aksia have expanded their AC Private Markets partnership with the Calamos Aksia Hedged Strategies Fund, providing access to a diversified portfolio of hedge fund managers.

3 shares

Miscellaneous10

01

Kempner Acquisition

Davidson Kempner Capital Management LP has purchased $1.4bn in nonperforming loans from Abu Dhabi Commercial Bank PJSC, marking its second major distressed debt deal with the bank.

2 shares

02

US Funds 2025

The annual Hedgeweek® Funds of the Future event for emerging and established hedge funds is happening today at Convene 237 Park Ave, New York.

2 shares

03

Ground Surges

London-based hedge fund, High Ground Investment Management, has seen a significant increase in performance this year with its global equities fund up 26.7% year-to-date.

2 shares

04

Danish Tax Loss

Denmark’s tax authority, SKAT, has lost a $1.9bn lawsuit against hedge fund manager Sanjay Shah and his defunct firm Solo Capital over cumex dividend tax schemes.

2 shares

05

Pepper on Talent Wars

Donald Pepper, co-CEO Head of Multi-Strategy at Trium Capital, discusses the current market euphoria and the low institutional allocations to hedge funds in the latest instalment of Alternative Views.

2 shares

06

Hedge funds losses in October

Goldman Sachs reports that systematic hedge funds have had their worst start to a month in nearly two years, with daily losses in the first week of October.

2 shares

07

Yen traders squareup post election

Macro hedge funds were heavily involved in yen trading on Monday, mostly squaring up bullish positions rather than making new bearish bets, according to Nomura International and Citigroup.

2 shares

10

Millennium shorts Metlen

Millennium Management, a New York-based hedge fund, has taken a £35m short position in Metlen Energy & Metals, two months after the company's debut on the London Stock Exchange.

1 shares

Podcasts

Episodes on markets, quant methods and economics.

9 items

Quantitative5

01

Tobias Carlisle on Risk

Tobias Carlisle talks about the current valuation landscape, small cap investment challenges, and the connection between Warren Buffett's investment philosophy and Sun Tzu's teachings in a podcast.

12 shares

02

Global Rates

In a podcast, Khagendra Gupta and Ipek Ozil explore the factors influencing €STR/SOFR cross currency bases.

11 shares

03

Diversification

Alex Shahidi discusses the shortcomings of traditional portfolio construction and emphasizes the need for diversification and risk parity in a podcast.

9 shares

04

Options Basics

Greg Jensen and Eric Hale explain the fundamentals of smart options trading, including the right time to buy long options and the risks associated with naked calls, in a webinar.

9 shares

05

The Money Revolution

Richard Duncan's book, The Money Revolution, suggests a strategy for the US to invest in future industries and technologies to maintain geopolitical dominance and generate wealth.

7 shares

Related4

02

Morgan Housel on Wealth and Happiness

Morgan Housel emphasizes that investing is more about human behavior than financial principles, discussing the psychological aspects of wealth and happiness.

6 shares

03

Global FX Shutdown

In a repeated article, Housel again highlights the role of human behavior in investing and the complexities of wealth and happiness.

6 shares

04

Politics, Emerging Markets, Gold

Arindam Sandilya and Patrick Locke analyze the impact of the US government shutdown on the dollar and the upcoming Japan LDP election on JPY.

6 shares

Blogs

Posts from quant and economics blogs and newsletters.

2 items

Quantitative1

01

Retail Traders' Market Losses

The options market, previously controlled by expert institutional investors, has seen a rise in involvement from individual investors lately.

2 shares

Related1

01

Low CGPA to Dream Schools

The author discusses their acceptance into several prestigious Mathematical Finance programs, including those at Columbia, NYU, NCSU, and Nanyang Business School in Singapore.

1 shares

X / Twitter

Posts from quant researchers on X.

5 items

Quantitative2

01

Research Recap: Gold, Bitcoin, Equities, FX

Gold, Bitcoin, Equities, FX: The Weekly Research Recap discusses topics like the comparison between gold and Bitcoin, using news sentiment for trading equities and FX, and enhancing equity momentum with machine learning.

6 shares

02

RavenPack Sentiment Data Research

RavenPack has published five research papers utilizing their sentiment data across different asset classes such as equities, FX, and credit.

2 shares

Miscellaneous3

01

Understanding Past Returns

The piece emphasizes the significance of grasping momentum in finance through analyzing past returns.

0 shares

02

OpenAI's Expansion Strategy

The article explores OpenAI's aggressive and innovative growth strategy in the tech industry.

0 shares

03

The AI Bubble Pop

The article suggests a potential collapse of the AI market, making it a recommended read for the weekend.

0 shares

Reddit

Threads from r/quant, r/algotrading and friends.

10 items

Quantitative5

Rising5

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