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Quant LetterNo. 117

October 2025, Week 4

133 items across 11 sections, as sent to readers on 27 October 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

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

26 items

Finance10

06

Fair Compensation in Risk Sharing

Shows how to set fair payouts from an endowment contingency fund, comparing active vs passive managers and giving conditions for actuarial fairness under general loss patterns.

5 sharesSource ↗

07

RMTResNet Crypto Covariance Denoising

Builds a robust crypto covariance model using power laws and Random Matrix Theory with ResNet corrections to create stable, profitable portfolios across market regimes.

5 sharesSource ↗

08

Antithetic MLMC for Risk Measures

Proposes an improved multilevel Monte Carlo with antithetic sampling to estimate loss probabilities and Value‑at‑Risk more efficiently for irregular payoffs, illustrated in life insurance.

5 shares1 citation todaySource ↗

09

Quantile-Targeted Portfolio Optimization

Finds that investors targeting specific outcome quantiles change volatility exposure (cutting risk to protect downside or seeking dispersion for upside) and introduces a distributional actor‑critic to learn such strategies.

4 sharesSource ↗

Economics6

01

Risk Sharing with Distortion Measures

Groups people with similar risk attitudes, reducing the n‑agent risk‑sharing problem to a two‑agent (risk‑averse vs risk‑seeking) model with clear existence conditions.

8 sharesSource ↗

Miscellaneous5

01

LLMs Adopting User Innovations

LLM platforms can quietly absorb users’ ideas, creating power imbalances; the paper proposes governance and technical fixes to protect creators.

20 shares1 citation todaySource ↗

03

Seasonal River Flow Modeling

A model estimates daily environmental variable distributions across seasons and trends to better understand river flows and floods (tested on the 2021 Fraser River).

9 sharesSource ↗

04

Topological FX Co-movement Analysis

Topological Data Analysis finds clearer, more separated currency clusters than traditional methods, revealing co-movement patterns useful for risk management.

9 shares1 citation todaySource ↗

05

Feminist Framework for Platform Work

A feminist analysis shows platform work causes precarity, surveillance, blurred work–life boundaries, and colonial legacies, and calls for participatory governance and structural reform.

5 sharesSource ↗

Crypto & Blockchain1

01

Here are some shorter title options (no numbering): - News-RL Trading - News-Driven Trading - News-Based RL - RL for News Trading - News-Powered RL If you want the shortest single choice: News-RL Trading.

- News-RL Trading - News-Driven Trading - News-Based RL - RL for News Trading - News-Powered RL If you want the shortest single choice: News-RL Trading.: Short summary: Feeding news sentiment extracted by large language models together with raw price and volume into a sequence-model reinforcement learning system boosts cryptocurrency trading performance, removing the need for handcrafted trading rules.

8 shares1 citation todaySource ↗

Historical Trending4

01

GCausal Flows for Robust Optimization

We show interventionally robust optimization is continuous under a G‑causal Wasserstein distance and introduce a causal normalizing flow that respects this, improving data augmentation for causal prediction and portfolio optimization.

17 sharesSource ↗

02

Unpredictable Penalty Shootouts

Using UEFA penalty shootout data (2000–2025) we find outcomes are essentially random—no measurable advantage from kicking order, venue, momentum, or team strength.

16 shares3 citations todaySource ↗

03

Insurance Pricing & Liquidity

Accounting for model uncertainty makes insurers set higher, more conservative prices and liquidity buffers, widens capacity ranges, and produces much longer underwriting cycles with more time in low‑capacity states.

12 shares2 citations todaySource ↗

04

Centered-MA DARMA

We remove bias in Dirichlet compositional time series by centering MA innovations using digamma adjustments, yielding unbiased MA terms, better forecasts, and cleaner MCMC diagnostics.

11 shares2 citations todaySource ↗

SSRN

Working papers in finance and economics from SSRN.

8 items

Financial8

02

Hedge Funds in German Bonds

Daily data (2005–2024) show hedge funds became key liquidity providers in German government bonds after 2015 as banks cut back due to higher balance‑sheet costs.

191 sharesSource ↗

03

Private Video Game Returns

Analysis of 631 private video‑game deals finds game investments outperform similar private and public deals, making game-focused funds attractive.

105 sharesSource ↗

04

ESG Alpha in Corporate Bonds

Firms' environmental traits create a distinct bond-market anomaly that improves portfolios beyond standard factors, and a simple model explains it.

106 sharesSource ↗

05

Crypto Perpetual Market Making

They built an automated crypto market‑making bot using a simple Bar Portion signal that outperformed a MACD baseline in live trading while keeping risk controlled.

7,767 sharesSource ↗

07

Private Gaming Equity Performance

A study of 631 private videogame investments finds game companies outperform comparable private and public deals, implying dedicated videogame funds may be attractive.

105 sharesSource ↗

08

Environmental Anomalies in Corporate Bonds

Environmental characteristics in corporate bonds form a distinct, profitable anomaly separate from traditional factors, improving portfolio choices and backed by a simple theoretical model.

106 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance9

01

Volatile KSE-30 Stock Detection

Uses machine learning and copula regression to measure KSE‑30 stock dependence on Pakistan’s market and offers a fast optimizer favoring low/moderate‑volatility assets.

10 sharesSource ↗

03

Risk Parity: Heavy Tails & Dynamic Correlations

Heavy Tails & Dynamic Correlations: Proposes a non‑Gaussian risk‑parity using expected shortfall with a generalized hyperbolic model to better handle fat tails, reducing turnover and drawdowns in stress.

9 sharesSource ↗

05

Forecast Disagreement & Risk Premia

Disagreement in macro forecasts raises risk premia: consumption disagreement hurts overall stock returns, while productivity disagreement particularly damages small, low-profit firms.

5 sharesSource ↗

08

Early Exercise and Put Risk Premia

Accounting for optimal early exercise, American puts show less negative raw returns but more negative delta‑hedged returns than European puts, changing which option anomalies look profitable.

4 sharesSource ↗

09

Sustainable Returns and Long-Horizon Metrics

Defines a “sustainable return” (a withdrawal rate that preserves real capital) and shows that return-sequence risk and reinvesting interim cashflows are key for long-term outcomes beyond simple short-period averages.

4 sharesSource ↗

Statistical3

01

GPT News Sentiment

GPT’s news-sentiment scores predict and explain intraday stock volatility better than older classifiers.

6 sharesSource ↗

Machine Learning5

02

Deep Learning for VaR/ES

Proposes two deep-learning frameworks plus a model-combination approach that improve Value at Risk and Expected Shortfall estimates versus existing models.

6 sharesSource ↗

Deep Learning3

Historical Trending10

01

Adaptive VIX Forecasting

Machine learning predicts daily VIX more accurately; weekly jobless claims are a key predictor, helping trading and risk management.

12 sharesSource ↗

02

Eurozone Bank Stock Direction

XGBoost and logistic regression beat LSTM/BiLSTM at forecasting daily stock direction for big Eurozone banks, likely because deep learning needs more data.

7 sharesSource ↗

Machine learning

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

10 items

Historical Trending10

02

Benchmarking LLMs

Platinum-benchmarks: fixes mislabeled test data to better measure model reliability and shows top LLMs still fail simple tasks.

73 shares54 citations todaySource ↗

03

ToddlerBot: Low-Cost Humanoid

Low-Cost Humanoid: ToddlerBot: an open-source humanoid robot you can build for under $6,000 to collect data and learn policies that transfer from sim to real.

48 shares21 citations todaySource ↗

04

MAE Tokenizers for Diffusion

MAETok: uses masked autoencoding to clean up diffusion latents, making high-resolution image generation faster and sharper.

38 shares94 citations todaySource ↗

05

Unanswerability in RAG

UAEval4RAG: generates tricky unanswerable queries to test whether RAG systems correctly refuse to answer, revealing key trade-offs.

30 shares10 citations todaySource ↗

06

NutWorld: 3D Gaussian

3D Gaussian: NutWorld: Converts single-camera videos into compact, time-consistent 3D Gaussian scenes for high-quality, real-time reconstruction.

30 shares8 citations todaySource ↗

07

NNetNav: Unsupervised Agents

Unsupervised Agents: NNetNav: Auto-generates labeled browser interaction demos by breaking down instructions, letting unsupervised agents far outperform zero-shot baselines.

29 shares57 citations todaySource ↗

08

BFSProver: Best-First LLM Prover

Best-First LLM Prover: BFSProver: Makes best-first search effective for theorem proving using expert filtering, learned preferences, and length normalization to reach state-of-the-art results.

28 shares92 citations todaySource ↗

09

DeepSeekR1: Analysis & Implications

Analysis & Implications: DeepSeekR1 report: Describes a low-cost Chinese reasoning model competitive with OpenAI’s, built with MoE, reinforcement learning, and engineering tricks, and discusses their implications.

26 shares43 citations todaySource ↗

10

Deep Linear Networks: Dynamics & Hyperparameter Transfer

Dynamics & Hyperparameter Transfer: Theory paper: Explains gradient descent in wide deep linear networks—why wider models train better, how hyperparameters transfer with width, and how residual scaling yields infinite-depth limits.

24 shares17 citations todaySource ↗

Papers with code

Papers that shipped their code, from the Papers with Code feed (2023-25).

5 items

Trending2

01

DeepAgent — Autonomous Tool Agent

DeepAgent — an end-to-end agent that finds and uses tools on its own and compresses long interaction histories so it solves complex, long-horizon tasks better.

77 shares

02

LightMem — Efficient Memory for LLMs

LightMem — a lightweight three-stage memory that filters, groups, and consolidates past interactions to improve LLM accuracy while greatly cutting token, API, and runtime costs.

66 shares

Rising3

01

DeepAnalyze — Auto Data-Science LLM

DeepAnalyze8B: an 8B-parameter model trained progressively to run full data-science pipelines and produce analyst-quality research reports.

58 shares

02

PBSAttn — Block-Sparse Attention

PBSAttn: rearranges attention into block-sparse patterns to speed long-context LLM processing while keeping accuracy close to full attention.

16 shares

03

EDR Steerable Multi-Agent Analytics

EnterpriseDeepResearch (EDR): a multiagent system that plans, searches, uses tools, visualizes results, and reflects to automatically produce high-quality enterprise research reports.

11 shares

GitHub

Repositories the letter featured.

9 items

Finance4

02

detasurf — AI Notebooks

Personal AI Notebooks organize your files and web pages and auto-generate notes, with local/open-source options.

1,679 shares

Trending5

01

ValueCell — Finance Agent

ValueCell — a community-built multiagent platform for running financial applications and automated trading agents.

1,478 shares

02

scmd — S3 CLI

Scmd — a command-line tool to manage S3-compatible storage (like Amazon S3) and CloudFront.

4,800 shares

03

Blind Watermark

BlindInvisible Watermark — an image watermarking tool that can extract watermarks without needing the original image.

10,187 shares

04

Anthropic

Public Skills repository — a shared collection of reusable “Skills” (ready-to-use components) for developers to use and contribute.

9,121 shares

05

Claude Skills

Curated Claude Skills — a handpicked list of prebuilt Skills you can add to the Claude AI assistant to extend its abilities.

1,570 shares

News

Industry news: funds, hiring, markets and regulation.

18 items

Quantitative9

01

Funds Wary of Crypto

Big institutions are wary of crypto hedge funds, saying the operational risks outweigh the rewards.

4 shares

02

Balyasny Expands Asia Team

Balyasny added four traders to its Asia macro team under Ron Choy, who joined this year with a reported pay package up to $30M.

3 shares

06

Reversals hit quant funds

Quant-driven hedge funds hit their worst month since July after crowded trades suddenly reversed.

2 shares

Miscellaneous9

01

Ace Bitcoin Hedge Fund

Ace Digital will launch a NOK5m Bitcoin fund for professional investors by end-2025 after buying Ace Funds AS.

2 shares

03

Qubes Futuristic Pay

An article proposes a new payroll method—real-time/on-demand pay—that could one day become the norm.

1 shares

04

BOE Fast-Tracks Hedge Fund Minutes

The Bank of England will speed up publishing its quarterly meeting minutes to avoid insiders getting a policy advantage.

1 shares

05

Hedge fund redemptions ease

Investors planned slightly fewer hedge-fund withdrawals in October as the redemption indicator dropped from 2.21 to 1.86.

1 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

Weather-Driven Systematic Futures

Vlad Johnson: systematic futures trading uses data, tech, and AI to find patterns — but only if the data quality is strong.

8 shares

02

CLIP Covered Calls

KraneShares’ CLIP ETF: sells covered calls on Chinese tech to generate monthly income and add portfolio diversification.

6 shares

03

Commodity Risk & Volatility

Ben Hoff: commodities combine physical supply chains and finance — storage/transport buffer prices until disruptions cause sudden volatility.

6 shares

04

TaxEfficient Equal-Weight ETF

ETF exchange: lets investors swap large appreciated stock positions into a new ETF at launch to defer immediate capital gains taxes.

6 shares

05

Culture, Flexibility & Alpha

Alan Waxman: staying flexible and adapting strategies helps uncover opportunities in alternative investments.

4 shares

Related5

01

Physics to Quant & AI

Igor Halperin: He describes moving from the Soviet Union to physics and quant finance, why physicists become quants, LLM impacts, and offers career tips.

4 shares

02

Growth vs Value

Ayah Habboub: She argues that growth strategies designed without assuming value let investors capture each factor’s unique returns.

4 shares

03

Shapiro: Geopolitics & Markets

Geopolitics & Markets: Jacob Shapiro: He hosts a biweekly long-form podcast on geopolitics and global markets.

3 shares

04

EM Fixed Income

JP Morgan experts: They review recent market moves and explain implications for emerging-market fixed income.

3 shares

05

Oil Glut & Sanctions

Russian crude sanctions: Restrictions on about 70% of Russian oil have raised costs, pushed discounted rerouting to other buyers, and exports should stabilize within a quarter.

3 shares

Blogs

Posts from quant and economics blogs and newsletters.

6 items

Quantitative3

01

Naked CDS

Using a Hamlet analogy, warns that buying naked CDS on Danish government bonds could push up Denmark’s borrowing costs.

3 shares

02

Junior Buyside Quant

A junior quant researcher describes their role on a central team at a New York multimanager hedge fund that builds and trades the firm’s own strategies.

3 shares

03

x Leveraged ETF Strategy

Argues that, despite daily rebalancing concerns, holding triple‑leveraged ETFs can sometimes be a viable long‑term strategy.

3 shares

Related3

01

QuantNet 2026 Preview

A pre-2026 thread collecting speculative ranking discussion that will be turned into the official commentary after results.

1 shares

02

MAR Ratio Primer

Explains the MAR Ratio (return ÷ max drawdown) as a simple way to see how well an investment balances return and risk.

0 shares

03

Why Day Traders Fail

Short YouTube video that visually shows the MAR Ratio and why it matters for evaluating investments.

0 shares

X / Twitter

Posts from quant researchers on X.

2 items

Quantitative1

01

Here are shorter title options (no numbering): - Highlights - Key Findings - Findings - Key Insights - Takeaways - Insights - Research Briefs - Quick Finds

- Highlights - Key Findings - Findings - Key Insights - Takeaways - Insights - Research Briefs - Quick Finds: This week's recap highlights research showing stronger crypto–stock links, ideas for adding portable alpha, the risks and returns of same‑day (0DTE) NDX straddle trades, evidence many stocks are mispriced, and a short list of top industry blogs and podcasts.

4 shares

Miscellaneous1

01

Here are some shorter title options: - Stop Losses, Not Returns - Cut Drawdowns, Keep Returns - Stops Cut Drawdowns - Protect Returns, Cut Drawdowns - Stops Preserve Returns - Lower Drawdowns, Keep Returns

- Stop Losses, Not Returns - Cut Drawdowns, Keep Returns - Stops Cut Drawdowns - Protect Returns, Cut Drawdowns - Stops Preserve Returns - Lower Drawdowns, Keep Returns: Stoplosses usually don't increase average or risk-adjusted returns, but they do cut big losses and make returns more stable by reducing extreme downside outcomes.

1 shares

Reddit

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

9 items

Quantitative4

Rising5

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