Time Series Model for Financial Simulator
A new financial model has been developed for an online app that simulates wealth processes, using annual returns of three asset classes and an improved valuation measure.
18 sharesSource ↗
Quant LetterNo. 109
August 2025, Week 2
108 items across 7 sections, as sent to readers on 12 August 2025. Paper titles open their ML-Quant page; ↗ goes to the source.
- Items
- 108
- Papers
- 64
- Sections
- 7
- Issue
- No. 109
arXiv
Quantitative-finance and ML-for-finance preprints from arXiv.
24 items
Finance6
Performative Market Making
The article explores how financial models shape markets and affect prices, and suggests a method for market makers to exploit dominant strategies.
14 shares1 citation todaySource ↗
Periodic Evaluation of Pension Fund
A novel framework is introduced for evaluating pension funds periodically, using a dynamic risk measure and a learning algorithm to manage risk and find optimal investment strategies.
9 sharesSource ↗
Optimal Liquidity Provision in AMMs
The research investigates the earnings of passive liquidity providers in automated markets, suggesting that optimal fees should balance volume attraction and revenue generation, and dynamic fees can enhance results.
7 shares8 citations todaySource ↗
Free Lunches in Real Market
The article disputes the belief that risk-free profit opportunities don't exist in real markets, showing that they can exist and be theoretically accounted for using the benchmark approach.
5 shares2 citations todaySource ↗
Event-Aware Sentiment Factors in Financial Tweets
The study shows how large language models can be used in financial semantic annotation and alpha signal discovery, indicating that social media sentiment can be a useful predictor in financial forecasting.
2 shares2 citations todaySource ↗
Economics8
Fed Communication in COVID-19 Crisis
A study reveals that the Federal Reserve's response to the COVID-19 pandemic was more reactive, focusing on financial stability and market volatility.
12 shares15 citations todaySource ↗
Brand Equity Impact on Franchise Integration
Research indicates that franchises with higher brand equity tend to have less vertical integration, with the effect varying based on international presence and financial resources.
11 shares4 citations todaySource ↗
Risk Factors in Global Supply Chain Investing
A study on global supply chain infrastructure investment risk factors shows that portfolios with higher ESG scores have stronger connections with other portfolios, with COVID-19 altering these connections.
10 shares3 citations todaySource ↗
EEA Professional Climate Survey Findings
A 2023 survey by the European Economic Association found significant disparities in perceptions of inclusion and respect in the European economics profession, particularly in the UK and Italy.
7 sharesSource ↗
Balanced Stock Networks
The research introduces a refined structure for stock networks that only includes significant correlations, offering a more precise depiction of stock relationships and highlighting key market subsystems that react to economic changes.
6 sharesSource ↗
Spillovers in Conservation
A large-scale experiment showed that behavioral interventions encouraging resource conservation in one area did not affect another, with notable reductions in shower use but no impact on air-conditioning use.
5 sharesSource ↗
Worker Preferences for Peer Info
A study identified four types of workers based on their information preferences, suggesting that customizing the delivery of information could enhance workplace welfare by up to 48%.
5 sharesSource ↗
Strategy Effects in Centipede Games
A study comparing behavior in six optimally designed centipede games under three different choice elicitation methods found significant behavioral differences that correspond with the predictions of the Dynamic Cognitive Hierarchy solution.
5 shares1 citation todaySource ↗
Miscellaneous2
AI Integration in Startup Evaluation
The article proposes a comprehensive Systematic AI-driven Startup Evaluation (SAISE) Framework to improve the fragmented approach to integrating AI into startup evaluation.
8 sharesSource ↗
Deformed Semi-Circle Law in Correlated Time Series
The study investigates the eigenvalue of the Wigner random matrix derived from a time series with temporal correlation, discussing the deformation of the semi-circle law and its moments of distribution and convergence.
1 shares1 citation todaySource ↗
Crypto & Blockchain4
Blockchain Analysis
A study of 44 million Ethereum transactions reveals distinct patterns, showing differences between human and automated transaction behaviors in blockchain ecosystems.
11 shares2 citations todaySource ↗
Ethereum Transaction Re-Ordering
The Ethereum study also shows that smart contract transactions exhibit sublinear scaling and bursty, algorithm-driven activity, unlike the consistent behavior of externally owned account transactions.
11 shares2 citations todaySource ↗
Fiscal Spillovers
Two MEV builders produce nearly 80% of Ethereum blocks, paying almost $14 million monthly to remain in the top quartile, with sandwich attacks accounting for nearly 15% of MEV payments to the validator.
8 shares1 citation todaySource ↗
US Stimulus Checks and Crypto Flows
A paper using detailed cryptocurrency data finds a temporary rise in cryptocurrency outflows from the US after stimulus checks, with a maximum fiscal spillover of 2.52%.
2 sharesSource ↗
Historical Trending4
Unravelling Prediction Markets
Polymarket, a prediction market platform, has been exploited for arbitrage due to mispriced dependent assets, leading to an estimated $40 million in guaranteed profits.
60 shares13 citations todaySource ↗
Modeling Rebalancing in AMMs
A paper presents a model of a constant-function automated market maker (CFAMM) as a portfolio of exotic options, offering a practical framework for liquidity providers to estimate future costs and optimize position parameters.
19 shares4 citations todaySource ↗
International Welfare Comparisons
A study offers a model of a constant-function automated market maker (CFAMM) as a portfolio of exotic options, providing a practical framework for liquidity providers to estimate future costs and optimize position parameters.
19 shares4 citations todaySource ↗
Multilateral Indices
A paper discusses the bias in multilateral index numbers used in cross-country economic comparisons, suggesting improved bounds for cost-of-living index and supporting the interpretability of many contemporary methods.
17 sharesSource ↗
RePEc
Economics working papers from RePEc's NEP field reports.
30 items
Finance6
Enhanced EM Portfolios with AATS
The rise of algorithmic trading and passive investing can cause issues during market downturns, but a new Automated Adaptive Trading System may stabilize emerging markets during such periods.
27 sharesSource ↗
Efficient Volatile KSE-30 Equities Identification
Machine learning has been used to pinpoint assets causing downward trends in the Pakistan Stock Exchange, suggesting a portfolio optimization scheme for efficient asset allocation.
25 sharesSource ↗
Dynamic Correlations Risk Parity Portfolio Optimization
Using expected shortfall as a risk measure in risk parity portfolio optimization can lessen sensitivity to volatility shocks, decrease portfolio turnover during market turmoil, and a complex time series model can enhance risk-adjusted returns.
16 sharesSource ↗
Adaptive Market Hypothesis
The research finds that trading strategies based on the Sharpe Ratio are more profitable than the buy-and-hold strategy in global markets, supporting the Adaptive Market Hypothesis.
15 sharesSource ↗
Novel Window Analysis
The study introduces a new method for assessing decision-making efficiency over time, using the Whale Optimization Algorithm, and applies it to foreign exchange strategies and utility companies in the Ho Chi Minh City Stock Exchange.
11 sharesSource ↗
Monitoring Poverty in Lebanon
The paper uses a new data augmentation technique to analyze poverty in the Middle East and North Africa, demonstrating the usefulness of alternative data sources with Lebanese data.
10 sharesSource ↗
Statistical5
BRM for Predictions with Missing Patterns
The BRM method is introduced for analyzing incomplete data, enhancing speed and reducing data imputation by pretraining models over subsets of missing data.
20 sharesSource ↗
New Momentum Indicator for Equity Premium Prediction
A new machine learning strategy, N-MDIS, is proposed to improve the accuracy of equity premium prediction, outperforming existing methods.
19 sharesSource ↗
Product Market Competition and Earnings Volatility
The study suggests that firms are more likely to adopt zero-leverage policies as product market competition increases, particularly in firms with high earnings volatility.
18 sharesSource ↗
News Sentiment Impact on Risk Management
The study reevaluates the impact of news sentiment on stock return volatility, finding that more accurately measured news sentiment significantly affects volatility dynamics.
16 sharesSource ↗
Stochastic Machine Learning for Production Technologies
A version of Stochastic Gradient Boosting is proposed to estimate production possibility sets in DEA, reducing overfitting and enhancing generalization, particularly in high-dimensional settings.
16 sharesSource ↗
Machine Learning7
Machine Learning for M&A
A study reveals machine learning models are more efficient in predicting Chinese corporate mergers and acquisitions than traditional methods, using 60 explanatory variables.
28 sharesSource ↗
Tail Risk Management
New probabilistic deep learning frameworks have been introduced for estimating Value at Risk and Expected Shortfall measures, potentially aiding financial institutions in better capital allocation.
27 sharesSource ↗
Bond Market Volatility Forecasting
Machine learning methods have been found to enhance the accuracy of stock market volatility forecasts in China by using the volatility of long-term treasury bond contracts.
24 sharesSource ↗
Lot Streaming and Scheduling
The article proposes a new algorithm and machine learning model for the Lot Streaming and Scheduling Problem (LSSP) with unpredictable product arrival times, aiming to enhance efficiency and accuracy.
16 sharesSource ↗
Dynamics in Chinese Markets
The paper introduces a novel statistical machine learning method for decomposing and analyzing complex time series, providing a potential alternative to the Box-Jenkins method, as shown with COVID-19 financial data.
13 sharesSource ↗
Monetary Policy Frictions and Loans
The study uses financial news to create a monetary policy frictions index and applies machine learning to a dynamic stochastic general equilibrium model, finding that monetary policy frictions significantly impact Chinese banks' nonperforming loans.
12 sharesSource ↗
Housing Market Connectedness
The research uses quantile connectedness models and machine learning to study the global housing market, discovering that the US housing market is the primary source of systematic shocks and its interest rate is the most influential global factor.
10 sharesSource ↗
Deep Learning2
Oil Price Forecasting: Machine Learning vs. Deep Learning
Machine Learning vs. Deep Learning: Deep learning methods have been found to be more effective than traditional machine learning in predicting oil prices, especially during crises.
31 sharesSource ↗
Multifrequency Data Fusion Model for Carbon Price Prediction
The newly introduced MFF-CPPM model has shown higher accuracy and flexibility in predicting carbon trading prices in China's largest carbon trading market compared to baseline models.
10 sharesSource ↗
Historical Trending10
Predicting VIX Trends
The article discusses a study that uses machine learning to predict the CBOE Volatility Index, highlighting the importance of weekly jobless claim data.
23 sharesSource ↗
Eurozone Banks Stock Price Prediction
The study reveals that traditional machine learning models are more effective than deep learning models in predicting Eurozone banking sector stock prices.
13 sharesSource ↗
AI Capability Impact on Firm Performance
The research indicates that AI capability directly affects firm performance, with a data-driven culture and AI infrastructure playing crucial roles.
5 sharesSource ↗
Social Media Climate Discussions
The article emphasizes the importance of communication in addressing climate change, using machine learning to analyze social media discussions on the topic.
4 sharesSource ↗
Retail Investing Dark Patterns
The study investigates the use of dark patterns in retail investment, suggesting the use of behavioral sciences and AI to improve regulation.
2 sharesSource ↗
Understanding Young Informal Workers in the EU
The research profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality.
2 sharesSource ↗
Intelligent Resource Management in Cloud Computing
The article discusses how artificial intelligence can improve resource management in cloud environments, boosting DevOps workflows' performance and efficiency.
2 sharesSource ↗
EGovernance Initiatives and Citizen Participation
The review investigates the link between e-governance initiatives and citizen participation, emphasizing the need for interdisciplinary research to evaluate these initiatives' effectiveness.
2 sharesSource ↗
Bank Performance Determinants
The paper analyzes literature on factors affecting banks' performance, proposing new research areas in digital transformation, artificial intelligence, and the impact of COVID-19.
1 sharesSource ↗
Work Need Satisfaction Scale in Online Gig Work
The study tests the Work Need Satisfaction Scale (WNSS) among online gig workers, suggesting modifications to the scale to better reflect the specifics of online platform work.
1 sharesSource ↗
Machine learning
The general machine-learning papers the letter carried in 2023-25.
10 items
Historical Trending10
QLASS: Language Agent Enhancement
Language Agent Enhancement: QLASS system enhances the efficiency of language agents by offering detailed guidance, leading to improved decision-making even with minimal supervision.
189 shares19 citations todaySource ↗
Unanswerability Evaluation for RAG
UAEval4RAG is a novel evaluation framework for retrieval-augmented generation systems, focusing on the system's capacity to dismiss unanswerable queries, aiding in the creation of stronger systems.
29 shares10 citations todaySource ↗
Stochastic Gradient Descent Optimization
A new gradient descent algorithm with adjustable randomness enhances the global convergence rate for nonconvex optimization issues, showing efficiency and resilience in complex objective functions.
28 shares6 citations todaySource ↗
Deep Linear Network Training
A theoretical analysis of gradient descent dynamics in deep linear networks reveals the wider is better effect and hyperparameter transfer effects, offering insights into training dynamics for power law structured data.
26 shares17 citations todaySource ↗
Rankify: Python Retrieval Toolkit
Python Retrieval Toolkit: Rankify is a new open-source toolkit that integrates retrieval, re-ranking, and retrieval-augmented generation, providing a consistent platform for researchers to improve retrieval and re-ranking methods.
24 shares11 citations todaySource ↗
BFSProver: Scalable Tree Search
Scalable Tree Search: The article introduces BFS-Prover, a scalable framework for automatic theorem proving using Lean4, which enhances performance through strategic data filtering, sample efficiency, and length normalization.
23 shares92 citations todaySource ↗
DeepSeek R1 and Generative AI
Despite the US's GPU export ban, DeepSeek's new reasoning model, DeepSeekR1, competes with OpenAI's models due to its innovative use of Mixture of Experts, Reinforcement Learning, and smart engineering.
23 shares43 citations todaySource ↗
Decision Theoretic Foundations
The paper presents Risk-Averse Calibration (RAC), an algorithm that links uncertainty quantification with risk-averse decision-making, optimizing action policies based on predictions while respecting a user-defined risk limit.
20 shares46 citations todaySource ↗
Large Learning Rates
The study explores memorization in denoising score matching, revealing a regularization mechanism driven by large learning rates that prevents excessive closeness to the empirical optimal score, thus reducing memorization.
14 shares15 citations todaySource ↗
Learning RoPEs: Improved Position Encodings
Improved Position Encodings: The article presents STRING, a position encoding method that provides exact translation invariance with a low computational footprint, proving beneficial in robotics for efficient 3D token representation.
13 shares20 citations todaySource ↗
GitHub
Repositories the letter featured.
10 items
Finance5
JAX World Codebase
The article explores a JAX-based codebase that offers high performance and scalability for world modeling.
56 shares
Web Scraping Tool
The article details a Python Commandline tool that gathers text and metadata from the internet and presents it in different formats.
4,544 shares
Open Source Fund
The article focuses on the Quantitative Open Source Foundation and its role.
175 shares
ColBERT Search
The article talks about ColBERT, a cutting-edge neural search technology presented at several international conferences.
3,534 shares
TDengine Database
The article presents a high-performance, scalable timeseries database specifically designed for Industrial IoT scenarios.
24,215 shares
Trending5
QwenLMImage
QwenImage is a sophisticated tool that creates and modifies images using text inputs.
1,902 shares
EvgeniaVolkovaJaneStreet
A proposed solution has been presented for the Jane Street 2024 Kaggle contest.
156 shares
KittenMLTTS
A new Text-to-Speech model has been developed, which is less than 25MB in size.
6,483 shares
News
Industry news: funds, hiring, markets and regulation.
18 items
Quantitative9
SKYE Quant Trading
SKYE is a novel machine learning tool designed to predict stock prices, ideal for quantitative trading models.
12 shares
AI Technical Analysis
Artificial Intelligence and machine learning are being utilized to create models for technical analysis in stock trading.
12 shares
Hedge Funds Derivatives Pitch
According to an IFR report, hedge funds are trading complex currency derivatives directly with private equity firms, possibly bypassing investment banks.
9 shares
Syz Capital BTC Alpha Fund Reopens
Syz Capital intends to reopen its BTC Alpha Fund, denominated in bitcoin, to new and existing investors from October 2025 due to rising institutional demand.
8 shares
AI in Quant Finance
AI is being utilized by startups to revolutionize quantitative finance, transforming talent and valuation models.
6 shares
Capital Fund Management NYC Deal
Capital Fund Management, a Paris-based hedge fund manager, is expanding its North American operations by relocating its New York office.
5 shares
Hedge Funds Reverse Energy Bets
According to Hazeltree, hedge funds are moving from bullish positions in oil stocks to fewer short positions in renewable energy stocks.
5 shares
Quant Hedge Funds Recover
Systematic hedge funds bounced back in the last week of July, counterbalancing a challenging month, as per Morgan Stanley and Goldman Sachs data.
4 shares
Hedge Funds Hold on Equities
A Goldman Sachs survey reveals that institutional investors are showing sustained or increased interest in hedge funds, while their interest in passive equities and private credit is waning.
4 shares
Miscellaneous9
Manager Hunt
Despite market volatility, a HedgeweekAIMA survey reveals that 40% of institutional investors are seeking new hedge fund managers and 46% plan to increase allocations, anticipating higher returns.
4 shares
Marex Team Growth
Marex has grown its prime brokerage and outsourced trading sales team in New York with the appointment of Patterson McDonald, enhancing its global services for hedge funds and asset managers.
4 shares
Renaissance Struggles
Systematic hedge fund firm, Renaissance Technologies, founded by mathematician Jim Simons, suffered losses across key strategies in July, as reported by Business Insider.
3 shares
AI Hedge Fund Launches
Increased investor interest in artificial intelligence is driving the establishment of new hedge funds in the sector, with several notable launches quickly gathering multibillion-dollar asset bases, according to the All Street Journal.
3 shares
Engine Capital pushes Avantor
Activist hedge fund Engine Capital has bought a 3% stake in Avantor and may push for major changes, including a possible sale.
3 shares
Regulators warn of hedge fund leverage
UK regulators have warned about potential systemic risks due to a significant rise in leveraged hedge fund positions in the gilt market.
3 shares
Icahn's fund losing streak
Carl Icahn's private investment fund reported another quarterly loss in Q2, leading to a year-to-date decline of 8.8%.
2 shares
DE Shaw's Oculus fund rallies
DE Shaw's hedge fund platform saw a late-July rebound, with its Oculus fund increasing by 4.6% in the final week.
1 shares
ISS advises against Malibu Life deal
ISS advises Third Point Investors Limited's shareholders to vote against its proposed acquisition of Malibu Life Reinsurance SPC.
0 shares
Podcasts
Episodes on markets, quant methods and economics.
10 items
Quantitative5
Investment Gurus
Mark Mattson, founder of a multi-billion dollar investment firm, advocates for hard work, evidence-based investing, and diversification, dismissing quick-rich schemes and focused investing.
13 shares
The Diversification
Brad Barry and Matt O'Brien of Dynamic Wealth Group stress that true diversification involves understanding return drivers, caution against hidden risks in the S&P 500, and propose global macro strategies.
12 shares
Platinum
A group of precious metals experts discuss the rising value of platinum due to supply-demand dynamics, its comparison to other metals, and its industrial uses, providing strategic investment advice.
10 shares
EM Fixed Income
Jonny Goulden and Anezka Christovova discuss the impact of recent market developments on the EM fixed income asset class in a podcast recorded in August 2025.
8 shares
Interest Rates
Ben Bennett, Head of Investment Strategy Asia, talks about the steepening yield curve, the interplay of politics and economic data, and strong US tech earnings in a podcast recorded in August 2025.
8 shares
Related5
Tax-Free Diversification
The LeadLag Live podcast explores the LCOR ETF and the 351 exchange structure as a tax-efficient diversification strategy for investors with concentrated stock positions.
5 shares
BoE Rate Update
In a podcast, Francis Diamond and Khagendra Gupta discuss the August BoE rate decision and provide updates on Scandinavian Rate market trends.
5 shares
FX Signals for EM Currencies
A podcast by Global FX & EM strategists discusses recent dollar developments, systematic FX signals, and reasons for their EM FX upgrade to OW.
5 shares
India's Big Opportunity
Yujun Lin and Ivan Han discuss the investment potential of India's markets in a podcast episode by Interactive Brokers Singapore and SGX.
4 shares
Alpha Beyond US
Phil Wool advocates for the investment potential of international equities, especially emerging markets, due to high U.S. stock valuations in a Raliant Capital discussion.
4 shares
Threads from r/quant, r/algotrading and friends.
6 items
Quantitative5
Career Reflections
82 shares
Math Practice
79 shares
Jane Street Research
114 shares
Quant Trader
345 shares
Fudge
162 shares
Rising1
Opinion on D.E.
162 shares