---
title: Quant Letter No. 107: July 2025, Week 4
url: https://www.ml-quant.com/issues/2025-07-25/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
issue_date: 2025-07-25
---


# Quant Letter No. 107: July 2025, Week 4

Sent 2025-07-25. 109 items.

## arXiv

### Finance

- __[Neural Network Pricing](http://arxiv.org/abs/2507.17606v1)__: The study uses neural network methods, Time Deep Gradient Flow and Deep Galerkin Method, to price multidimensional American put options, showing better accuracy and speed than traditional methods. (2025-07-23, shares: 27) · https://www.ml-quant.com/papers/arxiv/2507.17606/
- __[Optimal Trading with Price Impact](http://arxiv.org/abs/2507.17162v1)__: The research tackles dynamic portfolio optimization, considering predictable returns, transaction costs, price impact, and stochastic volatility, and suggests a multi-scale volatility expansion, improving portfolio strategy's Profit and Loss through simulations. (2025-07-23, shares: 19) · https://www.ml-quant.com/papers/arxiv/2507.17162/
- __[Machine Learning for Option Pricing](http://arxiv.org/abs/2507.16701v1)__: The article introduces a machine learning extension of the binomial option pricing model, using Random Forest classifiers on high-frequency market data, proving its efficiency in predicting price movements and estimating fair value. (2025-07-22, shares: 8) · https://www.ml-quant.com/papers/arxiv/2507.16701/
- __[Stationary Market Dynamics](http://arxiv.org/abs/2507.18395v1)__: The article introduces a mathematical model that views the financial market as a communication system, aiming to minimize the joint information of risk-neutral pricing measure in relation to real-world probability measure. (2025-07-24, shares: 8) · https://www.ml-quant.com/papers/arxiv/2507.18395/
- __[LogOptimal Portfolio Analysis](http://arxiv.org/abs/2507.18232v1)__: The research applies the càdlàg rough paths theory to examine the stability and approximation properties of portfolios in financial markets, with a focus on the log-optimal portfolio in an investment-consumption optimization issue. (2025-07-24, shares: 7) · https://www.ml-quant.com/papers/arxiv/2507.18232/
- __[Evolutionary Factor Searching](http://arxiv.org/abs/2507.17211v1)__: The paper presents Evolutionary Factor Search (EFS), a new method that uses large language models to automatically generate and evolve alpha factors for sparse portfolio construction, showing its effectiveness in different market situations. (2025-07-23, shares: 7) · https://www.ml-quant.com/papers/arxiv/2507.17211/
- __[Diversification Reversals](http://arxiv.org/abs/2507.16265v1)__: The research questions the traditional belief of diversification as a risk reduction strategy, identifying situations where diversification increases risk and offering a theorem that explains this unexpected result. (2025-07-22, shares: 6) · https://www.ml-quant.com/papers/arxiv/2507.16265/

### Economics

- __[Weather-Aware AI vs Route-Optimization AI](http://arxiv.org/abs/2507.17099v1)__: AI technology combining weather prediction and route optimization can potentially double taxi driver earnings, indicating a promising market in weather intelligence. (2025-07-23, shares: 10) · https://www.ml-quant.com/papers/arxiv/2507.17099/
- __[Homeownership Benefits Over Time](http://arxiv.org/abs/2507.17624v1)__: Owning a home in developed countries can increase wealth by up to 9% and welfare by up to 23% compared to an all-equity investment strategy, with results varying based on income and market conditions. (2025-07-23, shares: 7) · https://www.ml-quant.com/papers/arxiv/2507.17624/
- __[Financial Frictions in Agriculture: Stablecoins Solution](http://arxiv.org/abs/2507.14970v1)__: Stablecoins Solution: Fiat-collateralized stablecoins, a type of digital currency, could help solve financial issues in the global agricultural sector by reducing trade costs, increasing supply chain efficiency, and broadening credit access. (2025-07-20, shares: 7) · https://www.ml-quant.com/papers/arxiv/2507.14970/
- __[Equity, Emissions, and the Inflation Reduction Act](http://arxiv.org/abs/2507.15054v1)__: The 2022 Inflation Reduction Act's incentives for buying preowned EVs could help low-income households, but up to 8.4 million might not qualify due to different vehicle procurement methods, potentially hindering significant emissions reduction. (2025-07-20, shares: 6) · https://www.ml-quant.com/papers/arxiv/2507.15054/

### Miscellaneous

- __[Forecasting LFSM](http://arxiv.org/abs/2507.15437v1)__: A new method for predicting future changes in linear fractional stable motion (LFSM) has been proposed, which performs better than the fractional Brownian motion in predicting high-frequency FX rates and volatility time series. (2025-07-21, shares: 19) · https://www.ml-quant.com/papers/arxiv/2507.15437/
- __[AI Evaluation](http://arxiv.org/abs/2507.15771v1)__: Large language models used in economics are found to be more sensitive to issues like unemployment, inequality, financial stability, and environmental harm, and less responsive to traditional macroeconomic factors. (2025-07-21, shares: 17) · https://www.ml-quant.com/papers/arxiv/2507.15771/
- __[Explainable GNNs](http://arxiv.org/abs/2507.17848v1)__: GraphEXT, a new explainability framework for Graph Neural Networks, improves their explainability by focusing on node interactions and the effect of structural changes on predictions. (2025-07-19, shares: 12) · https://www.ml-quant.com/papers/arxiv/2507.17848/
- __[FinDPO](http://arxiv.org/abs/2507.18417v1)__: FinDPO, a finance-specific large language model, outperforms existing models in sentiment analysis and maintains significant positive returns in portfolio strategies, even with realistic transaction costs. (2025-07-24, shares: 10) · https://www.ml-quant.com/papers/arxiv/2507.18417/
- __[iQRA for Electricity Markets](http://arxiv.org/abs/2507.15079v1)__: A new method, Isotonic Quantile Regression Averaging (iQRA), for generating probabilistic forecasts from point forecast ensembles in electricity markets, outperforms other methods in reliability and sharpness. (2025-07-20, shares: 7) · https://www.ml-quant.com/papers/arxiv/2507.15079/

### Crypto & Blockchain

- __[Transformer vs LSTM in Financial Forecasting](http://arxiv.org/abs/2507.16548v2)__: The study uses Mean Absolute Directional Loss function to evaluate machine learning models in quantitative finance, revealing that Transformer models are superior to LSTM models. (2025-07-22, shares: 12) · https://www.ml-quant.com/papers/arxiv/2507.16548/
- __[Anomaly Detection in Crypto Order Books](http://arxiv.org/abs/2507.14960v1)__: Research comparing statistical methods and machine learning for anomaly detection in cryptocurrency limit order books shows the Empirical Covariance model is the most effective, beating a standard Buy-and-Hold benchmark by 6.70%. (2025-07-20, shares: 9) · https://www.ml-quant.com/papers/arxiv/2507.14960/
- __[Optimal Entry and Exit in Liquid Staking](http://arxiv.org/abs/2507.14810v1)__: The study examines optimal entry and exit decisions for investors in a liquid staking protocol and automated market maker, suggesting a fee mechanism that encourages staking and liquidity provision, and showing a stop-loss strategy often yields the highest expected payoff for the investor. (2025-07-20, shares: 8) · https://www.ml-quant.com/papers/arxiv/2507.14810/

### Historical Trending

- __[Dynamic Portfolio Selection](http://arxiv.org/abs/2507.09916v2)__: The article discusses a new dynamic mean-variance portfolio selection method using generative diffusion models, which performs better than several established methods including the Markowitz portfolio, the equal weight portfolio, and S&P 500. (2025-07-14, shares: 21) · https://www.ml-quant.com/papers/arxiv/2507.09916/
- __[Experimental Economics with Language Models](http://arxiv.org/abs/2505.21371v2)__: The research offers guidelines for creating economic experiments for large language models, improving the design, replicability, and general applicability of these experiments in the digital era. (2025-05-27, shares: 18) · https://www.ml-quant.com/papers/arxiv/2505.21371/
- __[Policy Optimization for Multi-Asset Portfolios](http://arxiv.org/abs/2504.11116v5)__: The paper presents the Pontryagin-Guided Direct Policy Optimization (PG-DPO) framework, a new method for solving large-scale, continuous-time portfolio optimization problems, showcasing its capability to manage high-dimension problems. (2025-04-15, shares: 17) · https://www.ml-quant.com/papers/arxiv/2504.11116/

## RePEc

### Finance

- __[Enhanced EM Portfolios with AATS](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1186%2Fs40854-025-00754-3%3Bh%3Drepec%3Aspr%3Afininn%3Av%3A11%3Ay%3A2025%3Ai%3A1%3Ad%3A10.1186_s40854-025-00754-3)__: A new Automated Adaptive Trading System may help stabilize emerging markets during downturns, addressing issues caused by algorithmic trading and passive investing. (2025-07-25, shares: 27) · https://www.ml-quant.com/papers/repec/spr-fininn-v-11-y-2025-i-1-d-10-1186-s40854-025-00754-3/
- __[Efficient Volatile KSE-30 Equities Identification](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs43069-025-00421-4%3Bh%3Drepec%3Aspr%3Asnopef%3Av%3A6%3Ay%3A2025%3Ai%3A1%3Ad%3A10.1007_s43069-025-00421-4)__: Machine learning has been utilized to identify assets causing downward trends in the Pakistan Stock Exchange, suggesting a portfolio optimization strategy for effective asset allocation. (2025-07-25, shares: 25) · https://www.ml-quant.com/papers/repec/spr-snopef-v-6-y-2025-i-1-d-10-1007-s43069-025-00421-4/
- __[Dynamic Correlations in Risk Parity Portfolio Optimization](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Fjtsa.12792%3Bh%3Drepec%3Abla%3Ajtsera%3Av%3A46%3Ay%3A2025%3Ai%3A2%3Ap%3A353-377)__: Using expected shortfall as the risk measure in risk parity portfolio optimization can lessen sensitivity to volatility shocks, decrease portfolio turnover during market turmoil, and enhance risk-adjusted returns. (2025-07-25, shares: 16) · https://www.ml-quant.com/papers/repec/bla-jtsera-v-46-y-2025-i-2-p-353-377/
- __[Adaptive Market Hypothesis](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Farchive.conscientiabeam.com%2Findex.php%2F29%2Farticle%2Fview%2F4102%2F8464%3Bh%3Drepec%3Apkp%3Ateafle%3Av%3A12%3Ay%3A2025%3Ai%3A1%3Ap%3A120-142%3Aid%3A4102)__: 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. (2025-07-25, shares: 15) · https://www.ml-quant.com/papers/repec/pkp-teafle-v-12-y-2025-i-1-p-120-142-id-4102/
- __[Window Analysis for High-Frequency Trading](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10528-7%3Bh%3Drepec%3Akap%3Acompec%3Av%3A65%3Ay%3A2025%3Ai%3A2%3Ad%3A10.1007_s10614-023-10528-7)__: The study introduces a new method for assessing decision-making efficiency over time, using the Whale Optimization Algorithm, and applies it to foreign exchange investment strategies and utility companies. (2025-07-25, shares: 11) · https://www.ml-quant.com/papers/repec/kap-compec-v-65-y-2025-i-2-d-10-1007-s10614-023-10528-7/
- __[Monitoring Poverty in Lebanon](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Froiw.12708%3Bh%3Drepec%3Abla%3Arevinw%3Av%3A71%3Ay%3A2025%3Ai%3A1%3An%3Ae12708)__: The paper uses a new data augmentation technique to study poverty in the Middle East and North Africa, specifically Lebanon, using alternative data sources when traditional income data is scarce or unavailable. (2025-07-25, shares: 10) · https://www.ml-quant.com/papers/repec/bla-revinw-v-71-y-2025-i-1-n-e12708/

### Statistical

- __[BRM for Incomplete Data Prediction](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fdx.doi.org%2F10.1287%2Fijds.2022.9016%3Bh%3Drepec%3Ainm%3Aorijds%3Av%3A4%3Ay%3A2025%3Ai%3A1%3Ap%3A85-99)__: The BRM method is introduced for analyzing missing data patterns, using ensemble models to reduce data imputation, and showing better predictive performance for various models. (2025-07-25, shares: 20) · https://www.ml-quant.com/papers/repec/inm-orijds-v-4-y-2025-i-1-p-85-99/
- __[New Momentum Strategy for Equity Premium](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Ffor.3200%3Bh%3Drepec%3Awly%3Ajforec%3Av%3A44%3Ay%3A2025%3Ai%3A2%3Ap%3A424-435)__: A new N-MDIS strategy using machine learning is proposed for better equity premium prediction, outperforming both MDIS and N-MDIS with logistic regression. (2025-07-25, shares: 19) · https://www.ml-quant.com/papers/repec/wly-jforec-v-44-y-2025-i-2-p-424-435/
- __[Product Market Competition and Zero-Leverage](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F1911-8074%2F18%2F2%2F73%2Fpdf%3Bh%3Drepec%3Agam%3Ajjrfmx%3Av%3A18%3Ay%3A2025%3Ai%3A2%3Ap%3A73-%3Ad%3A1582023)__: The study shows that firms are more likely to adopt zero-leverage policies as product market competition increases, especially in firms with higher earnings volatility. (2025-07-25, shares: 18) · https://www.ml-quant.com/papers/repec/gam-jjrfmx-v-18-y-2025-i-2-p-73-d-1582023/
- __[News Sentiment Impact on Risk Management](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0165176524006086%3Bh%3Drepec%3Aeee%3Aecolet%3Av%3A247%3Ay%3A2025%3Ai%3Ac%3As0165176524006086)__: The study shows that both negative and positive firm-specific and macroeconomic news significantly influence intraday stock return volatility. (2025-07-25, shares: 16) · https://www.ml-quant.com/papers/repec/eee-ecolet-v-247-y-2025-i-c-s0165176524006086/
- __[Stochastic ML for Production Technologies](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0377221724008993%3Bh%3Drepec%3Aeee%3Aejores%3Av%3A323%3Ay%3A2025%3Ai%3A1%3Ap%3A224-240)__: A new adaptation of Stochastic Gradient Boosting is proposed for estimating production possibility sets in DEA, reducing overfitting and showing competitive performance compared to C2NLS. (2025-07-25, shares: 16) · https://www.ml-quant.com/papers/repec/eee-ejores-v-323-y-2025-i-1-p-224-240/

### Machine Learning

- __[Machine Learning for M&A](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521925000201%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A99%3Ay%3A2025%3Ai%3Ac%3As1057521925000201)__: A study shows machine learning models are more effective than traditional methods in predicting Chinese corporate mergers and acquisitions using 60 variables. (2025-07-25, shares: 28) · https://www.ml-quant.com/papers/repec/eee-finana-v-99-y-2025-i-c-s1057521925000201/
- __[Tail Risk Management](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0305048324002135%3Bh%3Drepec%3Aeee%3Ajomega%3Av%3A133%3Ay%3A2025%3Ai%3Ac%3As0305048324002135)__: New probabilistic deep learning frameworks have been proposed for estimating financial risk measures, improving capital allocation in financial institutions. (2025-07-25, shares: 27) · https://www.ml-quant.com/papers/repec/eee-jomega-v-133-y-2025-i-c-s0305048324002135/
- __[Bond Market Volatility in China](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Ffor.3215%3Bh%3Drepec%3Awly%3Ajforec%3Av%3A44%3Ay%3A2025%3Ai%3A2%3Ap%3A547-555)__: Machine learning methods accurately predict Chinese stock market volatility using the volatility of long-term treasury bond contracts, outperforming traditional models. (2025-07-25, shares: 24) · https://www.ml-quant.com/papers/repec/wly-jforec-v-44-y-2025-i-2-p-547-555/
- __[Lot Streaming and Scheduling](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F24725854.2023.2294816%3Bh%3Drepec%3Ataf%3Auiiexx%3Av%3A57%3Ay%3A2025%3Ai%3A4%3Ap%3A408-422)__: 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. (2025-07-25, shares: 16) · https://www.ml-quant.com/papers/repec/taf-uiiexx-v-57-y-2025-i-4-p-408-422/
- __[Dynamics in Chinese Financial Markets](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F01605682.2024.2329156%3Bh%3Drepec%3Ataf%3Atjorxx%3Av%3A76%3Ay%3A2025%3Ai%3A1%3Ap%3A97-110)__: The paper introduces a new machine learning technique for analyzing and modeling complex time series, providing a potential alternative to the Box-Jenkins methodology in financial modeling. (2025-07-25, shares: 13) · https://www.ml-quant.com/papers/repec/taf-tjorxx-v-76-y-2025-i-1-p-97-110/
- __[Monetary Policy Frictions and Nonperforming Loans](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS106294082400278X%3Bh%3Drepec%3Aeee%3Aecofin%3Av%3A76%3Ay%3A2025%3Ai%3Ac%3As106294082400278x)__: The study uses machine learning to create a monetary policy frictions index from financial news, revealing significant impacts on nonperforming loans of Chinese commercial banks. (2025-07-25, shares: 12) · https://www.ml-quant.com/papers/repec/eee-ecofin-v-76-y-2025-i-c-s106294082400278x/
- __[Housing Market Connectedness](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0261560625000014%3Bh%3Drepec%3Aeee%3Ajimfin%3Av%3A152%3Ay%3A2025%3Ai%3Ac%3As0261560625000014)__: The research uses machine learning and quantile connectedness models to study the international housing market, identifying the US market as the main source of systematic shocks. (2025-07-25, shares: 10) · https://www.ml-quant.com/papers/repec/eee-jimfin-v-152-y-2025-i-c-s0261560625000014/

### Deep Learning

- __[Oil Price Forecasting: ML vs. DL](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10479-023-05400-8%3Bh%3Drepec%3Aspr%3Aannopr%3Av%3A345%3Ay%3A2025%3Ai%3A2%3Ad%3A10.1007_s10479-023-05400-8)__: ML vs. DL: Deep learning methods have been found to be more effective than traditional machine learning in predicting oil prices, especially during crises. (2025-07-25, shares: 31) · https://www.ml-quant.com/papers/repec/spr-annopr-v-345-y-2025-i-2-d-10-1007-s10479-023-05400-8/
- __[Multifrequency Data Fusion for Carbon Price Prediction](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1002%2Ffor.3198%3Bh%3Drepec%3Awly%3Ajforec%3Av%3A44%3Ay%3A2025%3Ai%3A2%3Ap%3A436-458)__: The newly introduced MFF-CPPM model in China has shown higher accuracy and flexibility in predicting carbon trading prices compared to standard models. (2025-07-25, shares: 10) · https://www.ml-quant.com/papers/repec/wly-jforec-v-44-y-2025-i-2-p-436-458/

### Historical Trending

- __[Predicting VIX Trends](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2439458%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A12%3Ap%3A1857-1873)__: The research uses machine learning to predict the CBOE Volatility Index, highlighting the importance of weekly jobless claim data for trading strategies. (2024-11-04, shares: 23) · https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-12-p-1857-1873/
- __[Stock Price Prediction](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.icfm.ro%2FRePEc%2Fvls%2Fvls_pdf%2Fvol28i4p29-42.pdf%3Bh%3Drepec%3Avls%3Afinstu%3Av%3A28%3Ay%3A2024%3Ai%3A4%3Ap%3A29-42)__: The study shows traditional machine learning models are better than deep learning models at predicting stock prices in the Eurozone banking sector. (2024-12-13, shares: 13) · https://www.ml-quant.com/papers/repec/vls-finstu-v-28-y-2024-i-4-p-29-42/
- __[AI Capability Impact](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10796-023-10460-z%3Bh%3Drepec%3Aspr%3Ainfosf%3Av%3A26%3Ay%3A2024%3Ai%3A6%3Ad%3A10.1007_s10796-023-10460-z)__: The research indicates that AI capability directly affects firm performance, with a data-driven culture and AI infrastructure being key factors. (2024-01-02, shares: 5) · https://www.ml-quant.com/papers/repec/spr-infosf-v-26-y-2024-i-6-d-10-1007-s10796-023-10460-z/
- __[Climate Discussions](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.cambridge.org%2Fcore%2Fproduct%2Fidentifier%2FS0027950124000073%2Ftype%2Fjournal_article%3Bh%3Drepec%3Acup%3Anierev%3Av%3A266%3Ay%3A2023%3Ai%3A%3Ap%3A22-29_3)__: The study emphasizes the role of communication and a comprehensive approach in addressing climate change, using machine learning to analyze social media discussions on the issue. (2023-05-03, shares: 4) · https://www.ml-quant.com/papers/repec/cup-nierev-v-266-y-2023-i-p-22-29-3/
- __[Dark Patterns in Retail](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.rivisteweb.it%2Fdownload%2Farticle%2F10.1435%2F115112%3Bh%3Drepec%3Amul%3Ajqmthn%3Adoi%3A10.1435%2F115112%3Ay%3A2024%3Ai%3A3%3Ap%3A499-531)__: The research investigates the problem of dark patterns in retail investment, studying the use of behavioral sciences and AI to improve regulation and safeguard investors. (2024-07-11, shares: 2) · https://www.ml-quant.com/papers/repec/mul-jqmthn-doi-10-1435-115112-y-2024-i-3-p-499-531/
- __[Understanding Young Informal Workers in the EU](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.2478%2Fjses-2024-0010%3Bh%3Drepec%3Avrs%3Ajsesro%3Av%3A13%3Ay%3A2024%3Ai%3A2%3Ap%3A82-97%3An%3A1005)__: The research profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality. (2024-04-28, shares: 2) · https://www.ml-quant.com/papers/repec/vrs-jsesro-v-13-y-2024-i-2-p-82-97-n-1005/
- __[Intelligent Resource Management in Cloud Computing](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fnewjaigs.com%2Findex.php%2FJAIGS%2Farticle%2Fview%2F262%3Bh%3Drepec%3Adas%3Anjaigs%3Av%3A6%3Ay%3A2024%3Ai%3A1%3Ap%3A397-408%3Aid%3A262)__: The article discusses how artificial intelligence can improve resource management in cloud environments, boosting DevOps workflows' performance and efficiency. (2024-12-20, shares: 2) · https://www.ml-quant.com/papers/repec/das-njaigs-v-6-y-2024-i-1-p-397-408-id-262/
- __[EGovernance Initiatives and Citizen Participation](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fpublishing.globalcsrc.org%2Fojs%2Findex.php%2Fsbsee%2Farticle%2Fview%2F3089%2F1770%3Bh%3Drepec%3Asrc%3Asbseec%3Av%3A6%3Ay%3A2024%3Ai%3A3%3Ap%3A317-336)__: The review investigates the link between e-governance initiatives and citizen participation, emphasizing the need for interdisciplinary research for effective evaluation. (2024-12-20, shares: 2) · https://www.ml-quant.com/papers/repec/src-sbseec-v-6-y-2024-i-3-p-317-336/
- __[Bank Performance Determinants](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fapi.eurokd.com%2FUploads%2FArticle%2F704%2FNCAF.2023.09.03.pdf%3Bh%3Drepec%3Abco%3Ancafaa%3A%3Av%3A9%3Ay%3A2023%3Ap%3A26-41)__: The paper analyzes literature on factors affecting banks' performance, proposing new research areas, particularly in digital transformation, artificial intelligence, and FinTechs. (2023-08-27, shares: 1) · https://www.ml-quant.com/papers/repec/bco-ncafaa-v-9-y-2023-p-26-41/
- __[Work Need Satisfaction Scale in Online Gig Work](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fjppc.ro%2Findex.php%2Fjppc%2Farticle%2Fdownload%2F868%2F470%3Bh%3Drepec%3Acta%3Ajcppxx%3A4241)__: The study explores the Work Need Satisfaction Scale's factor structure among online gig workers, suggesting modifications to the scale to better reflect online platform work. (2024-02-27, shares: 1) · https://www.ml-quant.com/papers/repec/cta-jcppxx-4241/

## Machine learning

### Historical Trending

- __[QLASS: Language Agent](http://arxiv.org/abs/2502.02584v1)__: Language Agent: QLASS system enhances language agents' performance by offering detailed guidance and creating annotations automatically with minimal supervision. (2025-02-04, shares: 189) · https://www.ml-quant.com/papers/arxiv/2502.02584/
- __[Large Language Model](https://arxiv.org/abs/2502.03461)__: Platinum benchmarks are introduced to assess the dependability of large language models, showing that even sophisticated models have difficulty with basic tasks. (2025-02-05, shares: 55) · https://www.ml-quant.com/papers/arxiv/2502.03461/
- __[Masked Autoencoders](https://arxiv.org/abs/2502.03444)__: MAETok system boosts high-resolution image synthesis by learning a semantically rich latent space, leading to quicker training and increased inference throughput. (2025-02-05, shares: 38) · https://www.ml-quant.com/papers/arxiv/2502.03444/
- __[Unanswerability Evaluation](https://arxiv.org/abs/2412.12300)__: UAEval4RAG framework assesses the capacity of retrieval-augmented generation systems to manage unanswerable queries, emphasizing the significance of component selection and prompt design. (2024-12-16, shares: 29) · https://www.ml-quant.com/papers/arxiv/2412.12300/
- __[NutWorld: 3D Gaussian Video](https://arxiv.org/abs/2502.03465)__: 3D Gaussian Video: NutWorld is a new framework that turns monocular videos into 3D Gaussian representations, enhancing video quality and allowing real-time applications. (2025-02-05, shares: 29) · https://www.ml-quant.com/papers/arxiv/2502.03465/
- __[Stochastic Gradient Descent Optimization](http://dx.doi.org/10.4310/cms.250607105334)__: A new gradient descent algorithm with adaptive randomness is proposed for global optimization of nonconvex problems, proving its effectiveness and stability with numerical examples. (2022-04-12, shares: 28) · https://www.ml-quant.com/papers/doi/10-4310-cms-250607105334/
- __[Deep Linear Training Dynamics](https://arxiv.org/abs/2502.02531)__: The paper explores the dynamics of gradient descent in deep linear networks, discussing the impact of network width and depth, and comparing various training dynamics. (2025-02-04, shares: 26) · https://www.ml-quant.com/papers/arxiv/2502.02531/
- __[Rankify: Python Retrieval Toolkit](https://arxiv.org/abs/2502.02464)__: Python Retrieval Toolkit: Rankify, an open-source toolkit, is introduced to streamline retrieval, re-ranking, and retrieval-augmented generation processes, aiming to improve retrieval methods while maintaining consistency, scalability, and user-friendliness. (2025-02-04, shares: 24) · https://www.ml-quant.com/papers/arxiv/2502.02464/
- __[DeepSeek R1: Generative AI Implications](https://arxiv.org/abs/2502.02523)__: Generative AI Implications: The article discusses DeepSeekR1, a new reasoning model by DeepSeek, emphasizing its strong performance despite lower development costs and US restrictions on GPU exports. (2025-02-04, shares: 23) · https://www.ml-quant.com/papers/arxiv/2502.02523/

## Papers with code

### Trending

- __[Transformer Explainer](https://github.com/poloclub/transformer-explainer)__: Despite the significant impact of Transformers on machine learning, their workings remain unclear to many people. (2025-07-23, shares: 4954)
- __[Superhuman Reasoning](https://github.com/alibaba-nlp/webagent)__: The article discusses the challenge of surpassing human cognitive limitations in the training of Large Language Models (LLMs). (2025-07-19, shares: 4612)
- __[Workflow Generation Models](https://github.com/aidc-ai/comfyui-copilot)__: The article presents a curated dataset of 4K workflows used to create comprehensive reasoning data, including aspects like node selection, workflow planning, and code-level workflow representation. (2025-07-23, shares: 2204)
- __[GLM4 vs Qwen2.5VL7B](https://github.com/thudm/glm-4.1v-thinking)__: The article discusses a model that performs better than Qwen2. 5VL7B in 28 public benchmarks and equals or surpasses Qwen2. 5VL72B in 18 benchmarks. (2025-07-19, shares: 833)
- __[NVIDIA Audio Flamingo](https://github.com/NVIDIA/audio-flamingo)__: The article emphasizes the importance of enhancing large language models to understand audio, including non-speech sounds and non-verbal speech, for various real-world applications. (2025-07-19, shares: 605)
- __[Streaming 4D VGT](https://github.com/wzzheng/streamvggt)__: The article introduces a streaming 4D visual geometry transformer, similar to autoregressive large language models, designed to support interactive and real-time applications. (2025-07-23, shares: 399)
- __[IQLearn: Inverse softQ](https://github.com/Div99/IQ-Learn)__: Inverse softQ: The article highlights the availability of human or expert data in sequential decision-making tasks like robotics control and game playing, which offers valuable task-related information. (2025-07-23, shares: 365)

### Rising

- __[Benchmarking Autonomous Agents](https://github.com/agi-inc/agisdk)__: The article presents REAL, a tool for assessing multiturn agents' performance on simulations of actual websites. (2025-07-19, shares: 233)
- __[Mathematical Deep Learning Introduction](https://github.com/introdeeplearning/book)__: The book offers a beginner-friendly guide to understanding deep learning algorithms. (2025-07-19, shares: 210)
- __[HackSynth LLM Agent](https://github.com/aielte-research/HackSynth)__: The article introduces HackSynth, an agent based on Large Language Model for independent penetration testing. (2025-07-23, shares: 169)
- __[PhysX Asset Generation](https://github.com/ziangcao0312/PhysX)__: The article explores the shift of 3D modeling from a virtual environment to a physical one. (2025-07-19, shares: 119)
- __[Dynamic 4D Scene Forecasting](https://github.com/lzzzzzm/ii-world)__: The article introduces a method that divides scene tokenization into two parts: intrascene and interscene tokenizers. (2025-07-23, shares: 102)
- __[Conv3x3 Designs in Diffusion Models](https://github.com/yuchuantian/dic)__: The article emphasizes the exceptional performance of diffusion models in tasks related to visual generation. (2025-07-19, shares: 86)
- __[AutoSteering Trajectories](https://github.com/lileyang1210/ant)__: The article points out problems with anchorfree methods leading to visual artifacts and anchorbased methods relying on heuristic selection of anchor concepts. (2025-07-19, shares: 66)
- __[Safety Vulnerability of Diffusion LLMs](https://github.com/zichenwen1/dija)__: The article presents DIJA, a system that uses adversarial interleaved masktext prompts to control the text generation processes of dLLMs. (2025-07-23, shares: 45)

## GitHub

### Finance

- __[Prob. & Stats for Data Science](https://github.com/cfgranda/ps4ds)__: The article delves into the importance of probability and statistics in data science. (2024-10-24, shares: 442)
- __[Free DB tool & SQL client](https://github.com/dbeaver/dbeaver)__: The article presents a free universal database tool and SQL client for users. (2015-10-21, shares: 44502)
- __[Estimating L3 order book on Binance](https://github.com/OctopusTakopi/binance_l3_est)__: The article explores the use of L2 data changes over time to estimate a L3 order book microstructure on Binance. (2025-07-21, shares: 108)
- __[MCP Server for Jupyter Model Context Protocol](https://github.com/datalayer/jupyter-mcp-server)__: The article introduces the Model Context Protocol MCP Server for Jupyter. (2025-02-12, shares: 517)

### Trending

- __[Mathiasdotfiles](https://github.com/mathiasbynens/dotfiles)__: The article provides an in-depth explanation on the functionality and application of wrench .files. (2011-09-05, shares: 30899)
- __[ShareAIanalysiscode](https://github.com/shareAI-lab/analysis_claude_code)__: The article offers insights into the Claude Code v1.0 repository and its features. (2025-06-29, shares: 4005)
- __[Rbaronparasite](https://github.com/rbaron/b-parasite)__: The article presents a DIY project on creating an open-source soil moisture sensor. (2021-02-10, shares: 2234)
- __[Grafanamcpgrafana](https://github.com/grafana/mcp-grafana)__: The article details the MCP server's role and usage in Grafana. (2024-12-24, shares: 1241)
- __[RoyaltyCrux](https://github.com/Royaltyprogram/Crux)__: The article explores the latest advancements and trends in the field of intelligence. (2025-07-02, shares: 83)

## News

### Quantitative

- __[EDS 'Fusion' AI Platform Launch](https://www.hedgeweek.com/eds-launches-fusion-ai-platform-to-streamline-institutional-investment-workflows/)__: Equity Data Science has introduced Fusion, an AI-based platform aimed at transforming data management and decision-making for institutional investors. (2025-07-23, shares: 5)
- __[Yen Bearish Hedge Funds](https://www.hedgeweek.com/hedge-funds-flipped-bearish-on-yen-ahead-of-upper-house-election/)__: Hedge funds have taken a net bearish position on the Japanese yen for the first time in almost four months, ahead of Japan's upper house election. (2025-07-21, shares: 5)
- __[Merger Arb Funds Profit from ChevronHess](https://www.hedgeweek.com/merger-arb-funds-score-big-as-53bn-chevron-hess-deal-finally-closes/)__: Merger arbitrage hedge funds are benefiting from Chevron's $53bn purchase of Hess Corp, marking one of the most profitable event-driven deals of the year. (2025-07-21, shares: 4)
- __[Record Hedge Fund AUM](https://www.hedgeweek.com/hedge-fund-aum-hits-record-4-74tn-aum-as-inflows-surge-to-decade-high/)__: Global hedge fund assets hit a record $4.74tn in Q2 2025, due to the largest quarterly inflows since 2014, with institutional investors contributing nearly $25bn, as per the HFR Global Hedge Fund Industry Report. (2025-07-21, shares: 3)

### Miscellaneous

- __[Kodai Capital Founder at Millennium](https://www.hedgeweek.com/kodai-capital-founder-joins-millennium-as-senior-equities-executive/)__: Neville Shah, former co-founder of Kodai Capital Management, has been appointed as a senior member of the equities management team at Millennium Management. (2025-07-23, shares: 3)
- __[Citadel Securities Quant at UBS](https://www.efinancialcareers.com/news/citadel-securities-quant-in-london-makes-banking-return-with-ubs)__: The article talks about a significant event or period that an individual has missed. (2025-07-21, shares: 2)
- __[Millennium Allocates 4](https://www.hedgeweek.com/millennium-allocates-4-2bn-to-two-external-managers/)__: Millennium Management has invested $4.2bn in two independent hedge fund managers, emphasizing its strategy of investing in high-quality external talent. (2025-07-24, shares: 1)
- __[Morgan Stanley Head at HFT Firm](https://www.efinancialcareers.com/news/morgan-stanley-market-making-head-leaves-for-hft-firm)__: The article mentions a significant change or move, but lacks specific details. (2025-07-22, shares: 1)
- __[UMG Files for US Listing](https://www.hedgeweek.com/umg-files-for-us-listing-in-line-with-pershing-square-agreement/)__: Universal Music Group has confidentially filed for a US listing, in line with an agreement with Bill Ackman’s hedge fund firm Pershing Square to enhance shareholder value. (2025-07-23, shares: 1)

## Podcasts

### Quantitative

- __[AI Stocks Talk](https://www.buzzsprout.com/803279/episodes/17535267-mathematician-and-quant-raphael-douady.mp3)__: Raphael Douady, a French mathematician, shares his journey from academia to quantitative finance, his knowledge in chaos theory and financial mathematics, and the influence of AI in finance. (2025-07-22, shares: 13)
- __[US Rates Preview](https://audioboom.com/posts/8753306)__: Ben Bennett, Head of Investment Strategy Asia, talks about the effects of tariffs on US inflation, instability in Japanese government bonds, and the elements influencing AI stocks. (2025-07-24, shares: 8)
- __[Global FX Implications](https://atanyrate.podbean.com/e/us-rates-previewing-the-august-refunding-announcement/)__: Senior J.P. Morgan research and trading staff share their predictions for the refunding announcement and its potential effect on the Treasury market and swap spreads. (2025-07-23, shares: 7)
- __[MacroVoices Dr. Malmgren Interview](https://atanyrate.podbean.com/e/global-fx-japan-us-policy-implications-for-fx/)__: Arindam Sandilya, James Nelligan, and Patrick Locke discuss the FX outlook concerning Japan's elections, US policy instability, and an impending ECB meeting. (2025-07-19, shares: 7)

### Related

- __[US Tariffs Impact](https://macrohive.libsyn.com/ep-318-brad-setser-on-trump-tariffs-chinas-surging-surplus-and-dollar-policy)__: Brad Setser discusses the economic implications and potential global disruptions caused by US tariffs in a podcast. (2025-07-24, shares: 1)
- __[Trump's Chinese Tariffs](https://markethuddle.com/podcast/get-in-now-guest-leonid-mironov/)__: Leonid Mironov argues on a show that Trump's Chinese tariffs are beneficial for China and makes a bold prediction about a specific country. (2025-07-19, shares: 1)
- __[Maximizing Returns](https://www.leadlagreport.com/static/termsandconditions)__: The article offers an investment strategy to maximize returns in fluctuating markets. (2025-07-20, shares: 1)
- __[Investors' Tariff Response](https://chrt.fm/track/F81DEC/traffic.megaphone.fm/GLD6390124915.mp3?updated=1753134735)__: Jan Hatzius and Dom Wilson from Goldman Sachs discuss the effects of tariffs on inflation and growth, and share their predictions for the latter half of 2025. (2025-07-22, shares: 0)
- __[Collaborations Among Guests](https://dataskeptic.com/blog/episodes/2025/network-of-past-guests-collaborations)__: Kyle and Asaf talk about a project that connects former podcast guests through their joint authorship of academic papers. (2025-07-21, shares: 0)

## Reddit

### Quantitative

- __[Backtesting Data](https://www.reddit.com/r/algotrading/comments/1m53qya/is_it_valid_to_run_a_backtest_tune_a_strategy/)__:  (2025-07-20, shares: 13)

### Rising

- __[July Losses](https://www.reddit.com/r/quant/comments/1m3f1xp/everyone_losing_money_in_july/)__:  (2025-07-18, shares: 106)
- __[Statistical Arbitrage](https://www.reddit.com/r/algotrading/comments/1m5keqj/i_found_a_statistical_arbitrage_with_1_return_day/)__:  (2025-07-21, shares: 702)
- __[Advice Seeker](https://www.reddit.com/r/algotrading/comments/1m2uf80/seeking_advice/)__:  (2025-07-18, shares: 19)
- __[Trader Letting Go](https://www.reddit.com/r/quant/comments/1m56pi9/letting_go_as_a_trader/)__:  (2025-07-21, shares: 46)
- __[Polymarket Realism](https://www.reddit.com/r/algotrading/comments/1m49b0r/how_realistic_is_polymarket_algotrading/)__:  (2025-07-19, shares: 33)