July 2025, Week 3

Efficient Greeks Computation

A new method using tensor train learning and numerical differentiation has been proposed to speed up and maintain accuracy in calculating Greeks for multi-asset options.

11 Jul 202530 shares3 citations todaySource ↗

Dynamic Portfolio Selection

A model-free approach using generative diffusion models and a policy gradient algorithm has been suggested for dynamic mean-variance portfolio selection, outperforming the Markowitz portfolio and S&P 500.

14 Jul 202521 shares5 citations todaySource ↗

Crisis-Driven Market Dynamics

A framework combining Transfer Entropy and the N-dimensional Kramers-Moyal expansion has been introduced to map coupling among major indices, providing insights for adaptive hedging and macro-prudential policy.

13 Jul 202513 shares1 citation todaySource ↗

Pricing and Hedging Prepayment Option

The prepayment risk in fixed-rate mortgages is modeled as an European-type interest rate receiver swaption with stochastic maturity, incorporating housing market activity as a non-tradable risk factor, enabling effective hedging of prepayment option exposure.

11 Jul 202512 sharesSource ↗

Enhancing Market Risk Estimation

A system using large language models can enhance market risk estimation and trading decisions by discovering stochastic differential equations for financial time series.

11 Jul 202511 shares4 citations todaySource ↗

Generalized Orlicz Premia Overview

A generalized version of Orlicz premia, based on potentially non-convex loss functions, covers various examples and maintains several relevant properties.

12 Jul 202511 sharesSource ↗

Kernel Learning for Trading Strategies

A kernel-based framework for creating dynamic trading strategies outperforms traditional Markovian methods when asset dynamics or predictive signals show temporal dependencies.

14 Jul 202510 shares2 citations todaySource ↗

Investment Herding Impact on Consumption

Research shows that investment herding impacts household consumption decisions, causing a crowding-out effect, providing insights for policymakers to stimulate consumption and economic growth.

14 Jul 202510 sharesSource ↗

Gas Fee Competition in DEX

A study on a gas-fee competition game in decentralized exchanges reveals that arbitrageurs may opt not to trade when arbitrage opportunity and liquidity are low, but their expected profit could increase with higher arbitrage opportunity and liquidity.

11 Jul 202510 shares5 citations todaySource ↗

Advancing AI and Labor Outcomes

The research indicates that increased AI usage leads to higher unemployment and shorter work hours, especially among older, younger, male, and college-educated workers.

11 Jul 20259 shares7 citations todaySource ↗

Carbon Price Shocks in Value Chain

The study introduces a new framework to analyze the impact of carbon pricing in a multi-sector economy, highlighting the significant spillover effects and the importance of sectoral interdependencies in decarbonization.

15 Jul 20258 shares1 citation todaySource ↗

AIs Approach to Financial Decision-Making

The study finds that large language models (LLMs) show a risk-neutral approach to financial decision-making, sometimes produce inconsistent responses, and their overall responses are similar to those of participants from Tanzania.

15 Jul 20257 sharesSource ↗

Temporary Workers' Wage Markdowns in India's Automotive Sector

A study shows that from 2000-2020, temporary workers in India's automotive sector experienced a 40% wage markdown, compared to a 10% markdown for permanent workers, due to labor market power and declining productivity.

11 Jul 20257 sharesSource ↗

Yemen's State Collapse: Economic and Institutional Impact

Economic and Institutional Impact: The 2011 revolution and civil war in Yemen led to a significant economic and institutional decline, with a decrease in output and income, a deterioration in investment and trade openness, and a collapse in governance metrics.

11 Jul 20257 sharesSource ↗

Forecasting NYC Yellow Taxi Ridership Decline

A study predicting daily passenger counts for New York City's yellow taxis from 2017-2019 shows a consistent decline in ridership, with the most accurate predictions made using a first-order autoregressive model.

11 Jul 20255 sharesSource ↗

Accurate Parameter Estimation in Interest Rate Models

AI startup success is influenced by firm characteristics, investor structure, digital/social traction, and funding history, but these factors are context-dependent and influenced by data accessibility.

13 Jul 20258 shares1 citation todaySource ↗

NMIXX: Neural Embeddings for Cross-Lingual Finance

Neural Embeddings for Cross-Lingual Finance: The predictors of AI startup success are not universal but depend on the startup's goals, stage, and evaluation data, indicating a potential convenience bias in research.

13 Jul 20258 shares1 citation todaySource ↗

Startup Success Predictors: A Meta-Analysis

A Meta-Analysis: The NMIXX model, fine-tuned with high-confidence triplets, excels in capturing financial semantics in low-resource languages like Korean, emphasizing the importance of tokenizer design in cross-lingual settings.

13 Jul 20257 shares1 citation todaySource ↗

Understanding AI-Based Startup Evaluation

The paper investigates the estimation and asymptotic behavior of parameters in interest rate models, using Euler-Maruyama discretization for efficient simulation and estimation, providing a theoretical basis for the parameter estimation process.

14 Jul 20256 sharesSource ↗

Decentralized CoW Cycle in DEX Aggregators

The article presents a mathematical model for efficiently identifying and completing trade cycles in decentralized exchange aggregators, preserving capital for liquidity providers.

14 Jul 202517 shares2 citations todaySource ↗

Incentivizing Content Trust with Smart Contracts

The paper proposes a decentralized, incentive-based method for verifying digital content authenticity using smart contracts and digital identity to fight misinformation.

14 Jul 202511 shares2 citations todaySource ↗

Crypto Portfolio Risk Analysis Simulation

The paper introduces a modular simulation framework for analyzing cryptocurrency portfolio risk, incorporating various testing and modeling methods, and validated with recent cryptocurrency data.

11 Jul 20259 sharesSource ↗

European Electricity Grid Model

A new model shows that adding a small amount of low-cost, flexible natural gas generation to a renewable energy grid can significantly cut system costs, with a 1% increase in natural gas generation reducing costs by 31%.

30 Mar 202524 sharesSource ↗

Hidden Costs in Passive Investing

Passive investing strategies that slowly buy shares before index reconstitution can greatly cut costs and boost profits compared to buying stocks at market close on the day of reconstitution.

26 Jun 202517 sharesSource ↗

Language Models in Resume Screening

Large language models used for matching resumes with job descriptions show consistent patterns, but their evaluations differ greatly from human experts, impacting their use in automated hiring systems.

8 Jul 202511 shares2 citations todaySource ↗

Enhanced EM Portfolios with AATS

A new Automated Adaptive Trading System may help stabilize emerging markets during downturns, addressing issues caused by the rise of algorithmic trading and passive investing.

17 Jul 202527 sharesSource ↗

Efficient Volatile KSE-30 Equities Identification

Machine learning has been utilized to identify assets driving downward trends in the Pakistan Stock Exchange, suggesting a portfolio optimization strategy for effective asset allocation.

17 Jul 202525 sharesSource ↗

Dynamic Correlations Risk Parity Portfolio Optimization

Accounting for fat-tailed returns in risk parity portfolio optimization can lessen sensitivity to volatility shocks, decrease portfolio turnover during market instability, and enhance risk-adjusted returns.

17 Jul 202516 sharesSource ↗

Adaptive Market Hypothesis

The study 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.

17 Jul 202515 sharesSource ↗

Novel Window Analysis

The research introduces a new method for assessing decision-making efficiency over time, using the Whale Optimization Algorithm in foreign exchange investment strategies and utility companies on the Ho Chi Minh City Stock Exchange.

17 Jul 202511 sharesSource ↗

Monitoring Poverty in Lebanon

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.

17 Jul 202510 sharesSource ↗

BRM for Predictions with Missing Patterns

The BRM method is introduced for analyzing incomplete data sets, improving speed and reducing data imputation by pretraining models on overlapping subsets.

17 Jul 202520 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 strategies.

17 Jul 202519 sharesSource ↗

Product Market Competition on Zero-Leverage Policies

The study suggests that firms are more likely to adopt zero-leverage policies as product market competition intensifies, especially those with higher earnings volatility.

17 Jul 202518 sharesSource ↗

News Sentiment and Risk Management

The paper shows that accurately measured news sentiment significantly impacts intraday stock return volatility, reevaluating its role.

17 Jul 202516 sharesSource ↗

Stochastic Machine Learning for Production Technologies

An adaptation of Stochastic Gradient Boosting is proposed for estimating production possibility sets in DEA, reducing overfitting and satisfying shape constraints, useful for scenarios requiring generalization.

17 Jul 202516 sharesSource ↗

Machine Learning for M&A

A study found machine learning models to be more accurate than traditional methods in predicting Chinese corporate mergers and acquisitions.

17 Jul 202528 sharesSource ↗

Tail Risk Management

New deep learning frameworks have been proposed for better risk management in finance, showing improved results in backtesting.

17 Jul 202527 sharesSource ↗

Bond Market Volatility in China

A study using machine learning found that the volatility of 10-year treasury bond contracts can enhance the accuracy of stock market volatility forecasts in China.

17 Jul 202524 sharesSource ↗

Lot Streaming and Scheduling

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

17 Jul 202516 sharesSource ↗

Dynamics in Chinese Financial Markets

The paper introduces a new machine learning technique for analyzing and modeling complex time series, providing an alternative to the Box-Jenkins method using COVID-19 financial data.

17 Jul 202513 sharesSource ↗

Monetary Policy Frictions and Nonperforming Loans

The study uses financial news and machine learning to create a monetary policy frictions index, showing a significant positive impact on the nonperforming loans of Chinese commercial banks.

17 Jul 202512 sharesSource ↗

Housing Market Quantile Connectedness

The research uses machine learning to study the international housing market, finding that the US market is the main source of systematic shocks and its interest rate is the most influential global factor.

17 Jul 202510 sharesSource ↗

Oil Price Forecasting: ML vs. DL

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

17 Jul 202531 sharesSource ↗

Multifrequency Data Fusion for Carbon Price Prediction

The MFF-CPPM, a new model tested in China's largest carbon trading market, has shown greater accuracy and flexibility in predicting carbon trading prices compared to standard models.

17 Jul 202510 sharesSource ↗

Predicting VIX Trends

The article discusses a machine learning approach to predict the CBOE Volatility Index, highlighting the importance of weekly jobless claim data.

15 May 202423 sharesSource ↗

Eurozone Banks Stock Price Prediction

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

6 Oct 202413 sharesSource ↗

AI Capability Impact on Firm Performance

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

21 Dec 20245 sharesSource ↗

Social Media Climate Discussions

The study emphasizes the role of communication and a holistic approach in addressing climate change, using machine learning to analyze climate change discussions on social media.

12 Jun 20234 sharesSource ↗

Retail Investors Protection Dark Patterns

The article discusses the problem of dark patterns in retail investment, suggesting the use of behavioral sciences and AI for better regulation and investor protection.

25 Oct 20242 sharesSource ↗

Young Workers in the EU

The research profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality.

23 Feb 20242 sharesSource ↗

AI for Resource Management

The article discusses how artificial intelligence can improve resource management in cloud environments, boosting DevOps workflows' performance and efficiency.

25 Apr 20242 sharesSource ↗

EGovernance and Citizen Participation

The review investigates the link between e-governance initiatives and citizen participation, emphasizing the need for interdisciplinary research to assess these initiatives' effectiveness.

11 Feb 20242 sharesSource ↗

Bank Performance Determinants

The paper explores the factors influencing banks' performance, proposing new research areas in digital transformation, artificial intelligence, and the COVID-19 pandemic.

26 May 20231 sharesSource ↗

Online Gig Work Satisfaction

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.

7 Mar 20241 sharesSource ↗

QLASS: Language Agent

Language Agent: QLASS is a new method for training language agents that improves performance and efficiency through step-by-step guidance, even with limited supervision.

4 Feb 2025188 shares19 citations todaySource ↗

Large Language Model

The study suggests the use of platinum benchmarks, which are carefully curated to reduce label errors and ambiguity, to enhance the reliability of large language models.

5 Feb 202555 shares54 citations todaySource ↗

Masked Autoencoders

MAETok, a new autoencoder introduced in the study, enhances image synthesis by learning a semantically rich latent space, achieving top performance on ImageNet generation.

5 Feb 202538 shares94 citations todaySource ↗

World Dynamics

NutWorld is a new framework that converts monocular videos into dynamic 3D Gaussian representations in one go, allowing for high-quality video reconstruction and real-time applications.

5 Feb 202529 shares8 citations todaySource ↗

Decision Theory

The paper introduces Risk-Averse Calibration (RAC), an algorithm that optimizes prediction sets for risk-averse decision makers, enhancing safety and utility in fields like medical diagnosis and recommendation systems.

4 Feb 202520 shares46 citations todaySource ↗

ToddlerBot: ML Humanoid Platform

ML Humanoid Platform: ToddlerBot is an affordable, open-source robot designed for research in robotics and AI, allowing for easy collection of simulation and real-world data.

2 Feb 202519 shares21 citations todaySource ↗

NNetNav: Browser Agent Learning

Browser Agent Learning: NNetNav is a technique for unsupervised interaction with websites, creating synthetic demonstrations to train browser agents and making search easier through language instruction hierarchy.

3 Oct 202415 shares57 citations todaySource ↗

LoRAX: Cross-Model Adaptation

Cross-Model Adaptation: LoRA-X is a new adapter that allows for the transfer of LoRA parameters between models without the need for original or synthetic training data.

27 Jan 202513 shares11 citations todaySource ↗

Particle Trajectory Learning

PoLAr-MAE uses masked point modeling on unlabeled LArTPC images, using domain-specific volumetric tokenization and energy prediction for impressive data efficiency.

4 Feb 202513 shares9 citations todaySource ↗

Learning RoPEs: Position Encodings

Position Encodings: STRING is a position encoding that extends Rotary Position Encodings, offering exact translation invariance and a low computational footprint, beneficial in robotics.

4 Feb 202513 shares20 citations todaySource ↗

GumTreeDiff

The first article explores the idea of software evolution via an edit script applied to a source code file.

15 Jul 20251,139 shares

cmriat L0

The second article presents LZero (L0), a training pipeline designed for general-purpose agents.

15 Jul 2025324 shares

apple Embedding Atlas

The third article discusses the application of embedding projections in visualizing large datasets and models.

15 Jul 2025281 shares

yongliu20

The fourth article targets achieving universal segmentation at any semantic level.

15 Jul 2025276 shares

Compressing Language Models

The research indicates that data between separator tokens can be effectively compressed into the tokens themselves without significant loss of information.

15 Jul 2025274 shares

Energy Transformers for Learning

Enhanced Bridge Transformers (EBTs) perform better than existing models in most tasks, suggesting superior generalization, even if pretraining performance is similar or worse.

15 Jul 2025269 shares

Robust Stereo Matching with SMoEStereo

SMoEStereo is a new framework that adapts VFMs for stereo matching, combining LowRank Adaptation (LoRA) and MixtureofExperts (MoE) modules.

15 Jul 2025102 shares

Evaluating Conversational Agents

Current benchmarks for conversational AI agents only create scenarios where the AI interacts, while the user only provides information passively.

15 Jul 202590 shares

TCSinger 2: Zeroshot Singing Voice Synthesis

Zeroshot Singing Voice Synthesis: TCSinger 2 is a new multitask, multilingual, zero-shot SVS model with style transfer and control, designed to address existing challenges.

15 Jul 202577 shares

Trading Platform

The article explores a platform that aids in the research and implementation of algorithmic trading strategies.

12 Feb 202422 shares

Historical Data Package

The article details a Python PYPI package that eases the extraction of historical cryptocurrency data from Binance.

16 Feb 2022133 shares

Matrix Shrinkage Estimation

The article presents a package specifically created for the shrinkage estimation of covariance matrices.

5 Feb 202229 shares

Engineering Cookbook

The article provides an in-depth guide on the different facets of data engineering.

10 Mar 201914,386 shares

Time Series Forecasting

The article introduces a new feature learning algorithm and automated machine learning for efficient, high-quality predictions on relational and multivariate timeseries data.

10 Aug 2022167 shares

Autumn: Pricing Billing Platform

Pricing Billing Platform: Autumn is a platform that provides open-source tools for pricing and billing.

21 Jan 20251,251 shares

Finviz API

Finviz offers an unofficial API for creating financial visualizations.

15 Nov 20171,128 shares

AI Stock Tool

An AI tool is available for analyzing stocks from various markets, with plans to include funds and ETFs, and offers features like sentiment and K-line analysis.

17 Dec 20241,898 shares

Custom Vision Recipes

There are guidelines available for optimizing and customizing advanced vision models.

13 Mar 20241,520 shares

Causal Discovery Python

Causal Discovery in Python is a feature that allows for conditional independence tests and score functions.

11 Oct 20201,404 shares

AI for Quant Signal Discovery

Man Numeric, the quantitative arm of Man Group, has begun using an AI system that can independently create and backtest trading strategies, automating the quantitative research process at the world's largest listed hedge fund.

11 Jul 20258 shares

Quant Insight Series A Investment

Quant Insight has received Series A funding from 7RIDGEs Ecosystem Impact Fund to accelerate the global expansion of its Macro Factor Risk Models and Analytics Platform for asset managers.

16 Jul 20258 shares

Hunterbrook Hedge Fund 100m Valuation

Hybrid hedge fund and investigative media company, Hunterbrook Global, has achieved a $100m valuation following a new funding round and intends to branch out into litigation finance.

14 Jul 20256 shares

Brevan Howard Closes Helske's Volatility Fund

Brevan Howard has shut down the Brevan Howard Global Volatility Fund managed by trader Ville Helske, as part of a plan to retain investor capital for extended periods.

11 Jul 20256 shares

Hedge Fund PM Starts Research Firm

Gregory J Blotnick, a former hedge fund manager, has started Valiant Research LLC, a market intelligence firm specializing in the retail sector.

11 Jul 20255 shares

Hedge Funds Rise

Despite growth in June, hedge funds experienced a slowdown in investor inflows in July, as per SS&C GlobeOp data.

16 Jul 20255 shares

EEX Group Trading Volume Up

EEX Group recorded unprecedented trading volume growth in its major asset classes during the first half of 2025.

14 Jul 20255 shares

Understanding Quantitative Analysts

The article provides insights into the field of quantitative finance and offers guidance on securing a job in this sector.

15 Jul 20255 shares

EEX EU ETS2 Futures Begin

The European Energy Exchange and IncubEx have introduced futures contracts linked to the EU Emissions Trading System 2, enabling companies to hedge their exposure.

11 Jul 20254 shares

Hedge Funds vs Ukrainian Railways Bond

Hedge fund creditors, such as VR Capital, are demanding tariff reforms before agreeing to a second restructuring of Ukrainian Railways' international bonds.

16 Jul 20254 shares

Capriole CEO Optimistic on Bitcoin

Capriole Investment's CEO, Charles Edwards, predicts that the recent surge of bitcoin past 122000 is just the start of its rally.

15 Jul 20254 shares

Artemis Longshort Fund Launch

Artemis has launched the Artemis Atlas Fund, its first venture into the market neutral long/short equity space, managed by ex-hedge fund equity analyst Ambrose Faulks.

11 Jul 20254 shares

Shortsellers Target Giants

Hedge funds increased short-selling activity in June, particularly in consumer lifestyle and technology stocks, as per Hazeltree’s Short-side Crowdedness Report.

11 Jul 20253 shares

Citadel Database Head Joins Balyasny

Balyasny is growing its data team with additional staff members.

16 Jul 20252 shares

Seligman Increases Tesla

Seligman Tech Spectrum Fund keeps Tesla as its biggest short position, says Institutional Investor.

15 Jul 20251 shares

Caxton Associates Reports 14% Return

Caxton Associates' hedge fund sees a robust 14% return in H1 2025, according to Reuters.

14 Jul 20251 shares

Bitwise Expands European Crypto Team

Bitwise recruits Max Shannon as a Senior Research Associate for its European team, highlighting its commitment to crypto asset research and investor education.

15 Jul 20250 shares

Jane Street's Interns on 4th Floor

Jane Street's move to raise intern salaries is significantly timed.

14 Jul 20250 shares

Goldman Sachs Family Office Expert

Sara NaisonTarajano of Goldman Sachs talks about her career, the unique strategy for family office investing, and the balance between risk management and growth in preserving generational wealth.

11 Jul 202513 shares

Predicting the Unpredictable

The article explores the challenges in market prediction, the influence of behavioral biases on investment choices, and the role of risk parity and diversification in mitigating these tendencies.

12 Jul 202513 shares

Data Bento and Market Data

Christina Qi, CEO of Data Bento, highlights the company's dedication to providing structured and cleaned data, and its commitment to fostering innovation in the finance and investment sector.

15 Jul 20259 shares

Global FX: Bearish USD

Bearish USD: A JPMorgan Chase podcast discusses the potential medium-term decline of the dollar, recent CNY fixes, tariff and UK CHF developments.

11 Jul 20255 shares

Global Rates: European Summer

European Summer: A JPMorgan Chase podcast explores summer trends for European rate markets, focusing on seasonality in intra-EMU spreads, Eur swap spread views, SSA thoughts, and UK gilt yields.

11 Jul 20255 shares

Copper Tariffs Market Impact

The Trump administration is set to impose a 50% tariff on US copper imports from August 1, which could affect copper prices and market dynamics.

11 Jul 20254 shares

Billionaire Myths

The book Stinking Rich: The Four Myths of the Good Billionaire argues that billionaires exacerbate economic inequality and plutocracy, debunking the notion of their positive impact.

11 Jul 20253 shares

Octaura's Brian Bejile

Octaura CEO, Brian Bejile, in a podcast, emphasizes the need for more data and analytics in the modernization of credit markets.

15 Jul 20253 shares

Market Volatility & Tariffs

Traders are facing a challenging environment due to rising rates, inflation worries, and trade pressures, with potential market volatility ahead.

16 Jul 20252 shares

Powering AI Era

The surge in AI is increasing power demand, with Goldman Sachs highlighting the potential difficulties in meeting this demand and its implications for AI's future.

16 Jul 20251 shares

Single vs. Multiple Strategies

The author favors a single strategy with a Sharpe ratio of 2, rather than a combined strategy of five uncorrelated strategies with a Sharpe ratio of 2.5.

15 Jul 20253 shares

Quantifying Overfitting

The updated paper by Jacquier et al. advises against overfitting with numerous weak signals, suggesting the use of a few strong predictors, extensive backtesting, and straightforward models for improved out-of-sample replication.

15 Jul 20250 shares

Stefan Nagel's Presentation

Stefan Nagel's recent NBER presentation and the following discussion by Bryan Kelly are suggested for those interested in the subject.

14 Jul 20250 shares

Model Configs Safeguarding

12 Jul 20250 shares

Historical News Tool

10 Jul 202543 shares

Options Skewness

14 Jul 202531 shares