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Quant LetterNo. 121

December 2025, Week 1

128 items across 10 sections, as sent to readers on 1 December 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

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

27 items

Finance10

01

Deep Learning for Option Hedging

This article discusses a method using deep learning to price and hedge European options in incomplete markets, optimizing risk distribution while handling tricky payoffs.

3 shares1 citation todaySource ↗

02

Quantum Asset Networks for Market Dynamics

The QNA framework applies quantum techniques to examine interdependencies in financial markets, offering new metrics for understanding entanglements and hidden information that classical methods miss.

1 sharesSource ↗

04

Signature Method for Option Pricing

This innovative approach simplifies the pricing and hedging of path-dependent options, improving strategies in markets with friction through numerical analysis.

0 shares8 citations todaySource ↗

05

BetaDependent Gamma in Volatile Markets

The study connects individual option hedging to broader market volatility, revealing how market-maker actions during volatility spikes can increase fluctuations, especially in low-beta stocks.

0 sharesSource ↗

06

Multivariate Risk in Banking

A new approach to representing risk in portfolios improves loss analysis for regulatory and managerial purposes beyond traditional methods.

0 sharesSource ↗

09

ATGCN for Stock Forecasting

A combined A3T-GCN model enhances the accuracy of FTSE100 stock price forecasts by using technical indicators and optimized sequences.

0 sharesSource ↗

Economics8

01

Marxs Profit Law in Spain

The article studies the decline of profit rates in Spain since 1960, linking it to capital composition and surplus value.

0 sharesSource ↗

02

HIV Stigma Effects

The study shows that while HIV stigma reduces testing rates, it may also discourage risky behaviors, suggesting some stigma might benefit society.

0 sharesSource ↗

03

Phillips Curve Stability Across Countries

The research on the Phillips Curve from 1980 to 2016 reveals strong forward-looking inflation expectations in developed countries, while others face challenges in its application due to past volatility.

0 shares5 citations todaySource ↗

04

Phillips Curve Variability in Conditions

This paper examines the Phillips relationship, noting it works in developed nations but fails during recessions, emphasizing the need for economic stability for the theory to be valid.

0 shares8 citations todaySource ↗

07

Language's Impact on Assignments

An analysis shows that complex reporting in assignment systems causes misreporting, with sequential choice methods being the most accurate and efficient.

0 shares1 citation todaySource ↗

08

Strategic Bidding in Markets

A study on electricity markets found that many firms altered bids to dodge penalties, but the measures' overall effectiveness remains questionable, suggesting the need for stricter regulations.

0 shares1 citation todaySource ↗

Miscellaneous4

01

AI Investment Risk

Organizations using AI face challenges in traditional ROI calculations due to risks, leading to a new framework that includes risk assessments.

2 sharesSource ↗

02

NLP Job Classification

A project successfully developed a natural language processing model that classifies job ads with 72% accuracy by using an ensemble approach.

0 sharesSource ↗

03

AI Security Threats

The use of AI in regulated industries exposes gaps between technical risk assessments and compliance, prompting a new taxonomy for AI risk evaluation and financial impacts.

0 shares2 citations todaySource ↗

04

AI Auction Collusion

Research shows that large language models can indirectly collaborate in Dutch auctions to increase prices, influenced by market structure.

0 sharesSource ↗

Crypto & Blockchain4

01

DeXposure: Credit Exposure Dataset

Credit Exposure Dataset: The DeXposure dataset offers a comprehensive resource for analyzing credit exposure in decentralized finance, featuring 43.7 million entries for financial machine learning research.

1 shares6 citations todaySource ↗

02

Crypto Price Influencers

The study examines the price factors influencing five major cryptocurrencies from 2010-2018, highlighting the roles of market conditions, long-term appeal, and the SP500 index.

1 shares225 citations todaySource ↗

03

Enhanced Deep Q-Networks for Uniswap

The report enhances a deep reinforcement learning model for liquidity provision in Uniswap V3, showing better performance and theoretical backing compared to the original.

0 sharesSource ↗

04

Challenges in Large Networked Systems

A model assesses decentralized versus centralized monitoring in public services, identifying key thresholds for effective regulatory oversight, especially in U.S. nursing homes.

0 shares3 citations todaySource ↗

Historical Trending1

01

Joint Pricing of SPX and VIX Derivatives

The article introduces a new Lévy model that uses a time change to better model both SPX and VIX options together, aiming to solve the problems related to consistent volatility modeling.

1 sharesSource ↗

SSRN

Working papers in finance and economics from SSRN.

31 items

Quantitative3

Financial28

01

Spectral Clustering for Arbitrage

The paper introduces a method using clustering techniques and high-frequency data to find similar financial assets, aimed at improving statistical arbitrage strategies.

1,135 sharesSource ↗

02

Estimating Alpha in Private Capital

This study outlines a framework for estimating alpha in private capital, showing notable annual returns for buyouts but unreliable data for venture capital and real estate.

1,318 shares2 citations todaySource ↗

04

Impact of 2020 Short Selling Bans

An analysis of COVID-19 short selling bans in Europe reveals they harmed liquidity and trading volumes without affecting prices, with ongoing effects after the bans were lifted.

90 sharesSource ↗

05

Risk Pricing in Credit vs. Equity

The study shows that delta-hedged credit index options have large negative Sharpe ratios and are more affected by credit-specific factors than by equity index returns.

254 sharesSource ↗

06

Market Effects of Order Flow in Crypto

Analysis indicates that payment for order flow in crypto markets increases trading costs and reduces volumes, especially for assets beyond Bitcoin and Ethereum, after new tokens are introduced.

332 sharesSource ↗

07

Credit Derivatives for Bank Risk in India

Poor credit risk management in Indian banks has led to rising Non-Performing Assets, highlighting the need for modern risk tools, such as credit derivatives, to improve future performance.

76 sharesSource ↗

08

European Real Estate Volatility

This study shows that different European real estate markets have varying volatility and suggests using tactical asset allocation to improve investment performance.

190 sharesSource ↗

10

Mutual Fund Decline in 401(k)s

This research highlights the rise of collective investment trusts in 401k plans due to their lower costs and tailored options for investors.

154 sharesSource ↗

22

European Real Estate Volatility

The paper reveals tactical asset allocation strategies for European real estate returns that vary by sector and country during financial crises.

190 sharesSource ↗

26

Fiscal Impact of Coal Transition

The research finds that coal-dependent municipalities face rising debt and yields due to the hydraulic fracturing boom and declining coal production.

123 sharesSource ↗

28

Gender Diversity and Firm Risk

The paper concludes that greater gender diversity in firms enhances risk management, leading to better handling of uncertainties and costs.

61 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance9

02

Automated Trading for Emerging Markets

The growth of algorithmic trading and passive investing makes it harder for emerging market investors during tough times, leading to the creation of a new Automated Adaptive Trading System for better portfolio protection.

9 sharesSource ↗

07

Evaluating Trading Strategies

A new method, Window Data Envelopment Analysis, evaluates efficiency over time, improving assessments of trading strategies and utility companies.

5 sharesSource ↗

Statistical3

Machine Learning5

Deep Learning3

Historical Trending10

03

Gig Worker Satisfaction

The Work Need Satisfaction Scale (WNSS) does not fit online gig workers well, indicating a need for modifications to reflect their unique needs.

2 sharesSource ↗

Machine learning

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

10 items

Historical Trending10

02

DeepL vs. Supertext in Translation

The study compares DeepL and Supertext machine translation systems, finding Supertext excels at translating longer texts while emphasizing the need for context-sensitive evaluations.

4 sharesSource ↗

03

New EPV Model for Football Analysis

The paper presents Expected Possession Value (EPV) for football, improving pass value assessments and accurately identifying goal-scoring possibilities.

4 shares2 citations todaySource ↗

04

OpenVocabulary 3D Object Modeling

The Articulate Anymesh framework converts rigid 3D meshes into articulated objects with Vision-Language Models, enhancing object modeling and robotic manipulation.

3 shares53 citations todaySource ↗

05

Bayesian Model for Microbiome Analysis

This research introduces a hierarchical Bayesian multitask learning model for binary classification, showing improved performance in microbiome analysis and human health predictions.

3 shares1 citation todaySource ↗

06

RiskAware Predictions

The paper introduces the Risk-Averse Calibration (RAC) algorithm, linking prediction uncertainty to risk-averse decision-making for safer medical diagnoses.

3 shares46 citations todaySource ↗

07

CaPO Multi-Preference T2I Alignment

The Calibrated Preference Optimization (CaPO) method improves text-to-image models by using multiple reward systems for optimization without needing human input.

2 shares44 citations todaySource ↗

08

AADDCE: DCE-MRI Synthesis with Attention

DCE-MRI Synthesis with Attention: AAD-DCE is a GAN that creates high-quality Dynamic Contrast-Enhanced MRI images from multimodal inputs, highlighting the role of attention mechanisms.

2 shares2 citations todaySource ↗

09

PoLAr-MAE: Self-Supervised Particle Representation

Self-Supervised Particle Representation: The Point-based Liquid Argon Masked Autoencoder (PoLAr-MAE) uses self-supervised learning to analyze Liquid Argon Time Projection Chamber data effectively with few labeled examples.

2 shares9 citations todaySource ↗

10

QLASS: Stepwise Q-Guided Language Improvement

Stepwise Q-Guided Language Improvement: QLASS proposes a stepwise Q-value estimation for language agents, enhancing guidance during tasks and boosting performance with less annotated data.

2 shares19 citations todaySource ↗

Papers with code

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

3 items

Trending1

01

Evolving Cost-Effective Deep Learning Rubrics

Reinforcement Learning with Evolving Rubrics (RLER) enhances the affordable training of deep learning models for lengthy tasks and outperforms current methods.

312 shares

Rising2

01

Efficient Memory

GAM is a framework that improves memory efficiency and task performance through JIT compilation, a lightweight memorizer, and reinforcement learning.

87 shares

02

Collaborative Representation

LatentMAS boosts collaboration among LLM agents by utilizing latent space representations, enhancing reasoning quality while reducing computational expenses.

55 shares

GitHub

Repositories the letter featured.

8 items

Finance5

01

Optimization Techniques

The article reviews different genetic algorithms and optimization techniques used for solving multi-objective challenges.

2,719 shares

02

Quick Data Client

A database client that allows developers to quickly and easily access their data.

986 shares

03

Graph Database Essentials

This paper presents a fast graph database that uses GraphBLAS to improve the efficiency of Knowledge Graphs for large language models (LLMs).

2,170 shares

04

Boost LLM Evaluations

An article outlining strategies to improve the assessment process for applications of large language models (LLMs).

11,539 shares

05

Simplified Data Access

A focus on tools and techniques for effective data visualization and access.

306 shares

Trending3

01

DeepSeek

Measuring variables helps create more precise predictions.

1,014 shares

02

Micropred

The precommit tool has been redesigned in Rust for enhanced efficiency.

365 shares

03

Precommit

Methods to eliminate incorrect results from AI agents are explored.

2,553 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

New Wealth Diversifiers

Niels and Andrew Beer explore changes in wealth management, focusing on new investment diversifiers, the growth of liquid alternatives, and insights on managed futures and cryptocurrencies.

8 shares

02

FX Volatility Insights

FX volatility is anticipated to stay low due to steady US growth, but upcoming policy events could test this stability and create hedging opportunities in early 2026.

6 shares

03

Market Price Drivers

Current declines in equities and cryptocurrencies lead to discussions on price influence and market behavior, highlighting the importance of reflexivity in investment dynamics.

6 shares

04

Volatility Investing with Dredge

David Dredge shares his expertise on volatility investing and his deep experience in risk management within global markets.

5 shares

05

Global Rates Review

JP. Morgan strategists present their 2026 outlook for developed markets, analyzing interest rates, curves, swap spreads, and the overall volatility landscape.

5 shares

Related5

01

IL Land Power

Economist Mike Bird explains the role of land as a valuable asset and its unique effects on China's economy, introducing the concept of the land trap.

5 shares

02

China Q3: Tech & Trade

Tech & Trade: Michael Gayed interviews Henry Greene on how recent trade changes between the US and China positively impact China's tech sector, particularly in AI and robotics.

4 shares

03

UK Budget Analysis

Experts James Carrick and Joseph England discuss the upcoming UK Budget and its economic implications in light of tight public finances in a podcast.

4 shares

04

Jacob Shapiro: Geopolitics

Geopolitics: Jacob Shapiro's podcast delves into various global issues, including geopolitics, finance, and markets, through in-depth discussions.

3 shares

05

Europe’s Clean Energy Opportunities

Rosheen McGuckian highlights Europe's ambitious emissions reduction goals and the investment opportunities emerging from the shift to clean energy, despite existing challenges.

3 shares

Blogs

Posts from quant and economics blogs and newsletters.

6 items

Quantitative3

01

Daily Rhythm Trading

New research indicates that financial market patterns may persist longer than expected, questioning traditional views on market efficiency.

4 shares

02

BidAsk Bounce vs. Volatility

The article examines the relationship between bid-ask bounce and volatility to assess their effects on trading prices.

1 shares

03

Innovation in Trend-Following

Russell Korgaonkar emphasizes the need for innovative trend-following strategies at Man AHL due to advancements in technology and risk management by 2025.

1 shares

Related3

01

Political Parties and Market Impact

The article explores how political shifts between conservative and liberal ideologies influence long-term stock market trends.

0 shares

X / Twitter

Posts from quant researchers on X.

1 items

Miscellaneous1

Reddit

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

2 items

Quantitative1

Rising1

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