Quant LetterNo. 103
156 items across 10 sections, as sent to readers on 25 June 2025. Paper titles open their ML-Quant page; ↗ goes to the source.
Quantitative-finance and ML-for-finance preprints from arXiv.
23 items
The study uses a Bayesian Generalised Pareto Regression model to predict extreme losses in India's Nifty 50 index, showing increased tail risk with higher market volatility and the model's effectiveness in forecasting tail risk in emerging markets.
12 sharesSource ↗
The research applies benchmark-neutral pricing to the pricing of a long-term European put option on a diversified stock index, showing that the benchmark-neutral price is theoretically the lowest possible price.
9 sharesSource ↗
The study uses extreme value theory to create a Distributionally Robust Optimization formulation for worst-case Conditional Value-at-Risk evaluations, demonstrating its usefulness on both synthetic and real-world data.
9 sharesSource ↗
The article presents a model for pricing SPX options using statistical methods such as neural networks, random forests, and linear regression, and compares its effectiveness with the Black-Scholes-Merton model for European options.
7 sharesSource ↗
The research investigates the pricing and hedging of nonreplicable contingent claims like long-term insurance contracts using a benchmark-neutral pricing framework, suggesting an algorithmic refinancing strategy for working capital modeling.
4 shares3 citations todaySource ↗
The paper proposes a new neural-network-based method for learning the generating function of a functionally generated portfolio from market data, offering a strong alternative to traditional portfolio optimization.
3 sharesSource ↗
The research suggests financial regulation should be based on a firm's financial centrality and investment opportunities, and sometimes it's beneficial to limit one core bank's investments while allowing another to invest freely.
16 sharesSource ↗
The study reveals racial bias in large language models used in financial decisions, and proposes a control-vector intervention that can decrease these biases by up to 70% without impacting the model's performance.
8 shares2 citations todaySource ↗
The study finds that while Chinese local governments have exaggerated GDP, using social media for public communications can decrease misreporting in areas with high public scrutiny, contradicting the belief that social media mainly spreads misinformation.
7 shares1 citation todaySource ↗
Due to COVID-19 lockdowns, remote work has increased significantly in Australia, with a 43% rise expected to continue through 2023 due to adjustments by employers and employees.
7 shares3 citations todaySource ↗
A game-theoretic model suggests that technology-sharing can strengthen global coalitions against climate change, which tend to weaken over time due to free-riding.
7 shares4 citations todaySource ↗
The Lean Startup Method enhances AI's impact on product innovation in startups, reducing uncertainties, facilitating product development, and enabling high-quality production in less time.
7 sharesSource ↗
Stronger intellectual property rights can shape cross-border trade by raising prices, broadening demand, and encouraging quality upgrading and new export varieties, though policy bundling and measurement gaps can obscure these effects.
3 sharesSource ↗
The article presents the wealth thermalization hypothesis, a theory that uses the Rayleigh-Jeans thermal distribution to explain wealth inequality, suggesting a small group controls most of the wealth.
11 shares3 citations todaySource ↗
The article explores Autonomous Business Models (ABMs), where AI systems handle key business operations, potentially transforming competitive strategies, organizational structures, and governance.
8 shares3 citations todaySource ↗
Synthetic Financial System: The study reveals that the Lightning Network, a system designed to speed up Bitcoin transactions, deviates from Bitcoin's original model. It shows increased transaction fees due to capacity limitations and suggests that it resembles a shadow banking system, lacking transparency and guaranteed settlements.
2 sharesSource ↗
The article explores how social networks contribute to economic and social inequality through disparities in information, opportunities, and behaviors.
29 shares57 citations todaySource ↗
The paper introduces a new method, NAbC, for determining the finite-sample distributions in financial portfolios, effective under various financial data conditions.
26 sharesSource ↗
The study shows that higher income leads to diverse consumption across different brands and price levels, influenced by economic, social, and cultural factors.
13 shares2 citations todaySource ↗
A study finds that Large Language Models like GPT-4o can interpret economic narratives from texts, but their performance is not yet on par with experts, based on analysis of articles about inflation.
12 shares3 citations todaySource ↗
A new hedging strategy for American-style options in a semi-martingale setting is developed, using an aggregator for a family of Snell envelopes.
11 sharesSource ↗
Both humans and Large Language Models struggle to differentiate between genuine and fake online product reviews, highlighting a susceptibility to automated fraud and different approaches to assessing authenticity.
10 shares7 citations todaySource ↗
Bones Shapes: A study using MSA-level panel data explores changes in the U.S. Phillips Curve during and post-COVID-19, providing insights into the unemployment implications of disinflation.
9 sharesSource ↗
Working papers in finance and economics from SSRN.
31 items
The article emphasizes the necessity for Big Tech firms to revamp their cloud infrastructures for better handling of machine learning tasks, and offers a guiding framework for this transformation.
6 sharesSource ↗
The study uses machine learning to predict the exercise of American call options, performing better than traditional assumptions.
61 sharesSource ↗
The paper finds that volatility models are most accurate when they match the data-generating process.
42 sharesSource ↗
The article introduces a technical analysis approach that uses dividends to predict a share's lifetime price range.
35 sharesSource ↗
The study introduces a Bayesian machine learning model for inflation that reacts strongly to large shocks.
64 shares4 citations todaySource ↗
The paper shows that operational flexibility reduces implied volatility and equity cost, based on the introduction of an exit option.
32 sharesSource ↗
The study investigates the use of quantum machine learning to optimize high-frequency trading in US treasuries and forex markets.
3 sharesSource ↗
The research shows that dividend tax hikes initially cause investment inactivity, followed by a surge due to tax arbitrage and hangover effects.
32 sharesSource ↗
The article investigates the challenges and opportunities in using Machine Learning for processing Classical Tamil language and its dialects, with a focus on linguistic and cultural aspects.
13 sharesSource ↗
The research uses machine learning and a simulation model to improve accuracy in analyzing import container flows at the Port of New York-New Jersey.
27 sharesSource ↗
Kerala Study: The study introduces the SMART AI-Driven Tourism Marketing Framework to boost tourist engagement in Kerala, using AI chatbots, predictive analytics, and personalized content.
14 sharesSource ↗
The article claims that creating fair and racially-just machine learning is currently unachievable due to reasons like biased training data and opaque algorithm design.
16 sharesSource ↗
The research proposes a framework for enhancing supply chain resilience during large-scale disruptions, focusing on supply chain design and vulnerabilities.
42 sharesSource ↗
The study shows that global supply chain pressures significantly contribute to negative forward returns in the U.S. stock market.
20 sharesSource ↗
The article discusses the rapid growth and transformation of econometrics, emphasizing advances in cross-sectional data analysis, policy analysis, and time series techniques.
23 sharesSource ↗
The research explores the impact of AI adoption in credit scoring and relationship lending by banks, suggesting that AI investments can help banks manage the effects of relationship lending on credit supply and decisions.
33 shares3 citations todaySource ↗
Pharmaceutical stocks offer higher returns when writing options due to their high growth potential and the unpredictability of drug trials and development.
431 sharesSource ↗
The Common Task Framework (CTF) can enhance innovation, effort, and honesty in research, and could be used in financial economics to assess asset pricing models.
246 sharesSource ↗
A new intraday trading strategy for the USTEC CFD, using a large language model to filter trading signals based on news sentiment, boosts profitability.
63 sharesSource ↗
IRS officials' personal stock trades yield positive abnormal returns and are linked to future tax enforcement outcomes for the invested firms.
660 sharesSource ↗
Currency risk premiums fluctuate on U.S. FOMC announcement days, with currencies expecting a larger reduction in implied variance earning higher returns.
213 sharesSource ↗
Ambiguity preference variables can forecast credit asset comovements, with lower-rated US credit assets being more affected by ambiguity aversion.
44 sharesSource ↗
Despite a strong interest in learning about financial preparedness, college students lack financial literacy and understanding of investing and debt.
43 sharesSource ↗
Mutual funds in the Euroarea with a diverse geographic investor base have more fluctuating flows, but it doesn't impact overall performance.
33 sharesSource ↗
The U.S.'s individual approach to digital asset regulation could isolate its markets and weaken its monetary power, indicating a need for global collaboration.
62 sharesSource ↗
Bonds issued in varying interest rate environments have different coupons and market prices, leading to higher losses for investors if default occurs.
59 sharesSource ↗
During the pandemic, government-backed loans were more often given to safer borrowers with liquidity constraints, who were less likely to struggle with repayments.
25 shares1 citation todaySource ↗
Capital-loss carryforwards can be assessed using an option-pricing perspective, providing a market consistent basis for determining when such strategies yield real economic benefits.
67 sharesSource ↗
A study of 43 macroeconomic variables across the G7 economies over 200 years shows evidence of mean reversion in the U.S., but more persistent dynamics in Italy and Japan.
37 sharesSource ↗
A comparison of four multivariate GARCH methods shows varied volatility interdependencies between petroleum prices and stock sector indices in Canada, Saudi Arabia, the U.S., and China.
4 sharesSource ↗
Companies with high fixed costs show negative exposure to inflation surprises, with variable costs being the main factor behind this negative inflation beta.
35 sharesSource ↗
Economics working papers from RePEc's NEP field reports.
30 items
The rise of algorithmic trading and passive investing has caused issues during market downturns, but a new Automated Adaptive Trading System could stabilize emerging markets during such periods.
27 sharesSource ↗
Machine learning has been used to identify assets causing downward trends in the Pakistan Stock Exchange, proposing a scheme for efficient asset allocation.
25 sharesSource ↗
Using expected shortfall as a risk measure in risk parity portfolio optimization reduces sensitivity to volatility shocks and decreases portfolio turnover during market turmoil, with a time series model enhancing risk-adjusted returns.
16 sharesSource ↗
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 ↗
The study introduces a new method for assessing decision-making efficiency over time, using the Whale Optimization Algorithm, and applies it to forex investment strategies and utility firms in the Ho Chi Minh City Stock Exchange.
11 sharesSource ↗
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.
10 sharesSource ↗
The BRM method is introduced to analyze missing patterns in data, reducing data imputation and enhancing predictive performance.
20 sharesSource ↗
A new N-MDIS strategy using machine learning is proposed to improve equity premium prediction, outperforming existing methods.
19 sharesSource ↗
The research shows that increased product market competition leads firms to adopt zero-leverage strategies, especially those with higher earnings volatility.
18 sharesSource ↗
The study shows that accurately measured news sentiment significantly impacts intraday stock return volatility.
16 sharesSource ↗
A modified version of Stochastic Gradient Boosting is proposed to estimate production possibility sets in DEA, reducing overfitting and improving performance in high-dimensional settings.
16 sharesSource ↗
Machine learning models are more effective than traditional methods in predicting Chinese corporate mergers and acquisitions.
28 sharesSource ↗
Two new deep learning frameworks have been proposed for estimating financial risk measures, improving capital allocation in financial institutions.
27 sharesSource ↗
Machine learning methods accurately predict Chinese stock market volatility using the volatility of longer maturity treasury bond contracts.
24 sharesSource ↗
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.
16 sharesSource ↗
The paper introduces a new machine learning technique for decomposing and analyzing complex time series, offering an alternative to the Box-Jenkins methodology in financial modeling.
13 sharesSource ↗
The study uses machine learning to analyze the effect of a monetary policy frictions index on commercial banks' nonperforming loans, advocating for more information transparency in monetary policy transmission.
12 sharesSource ↗
The research uses machine learning to study the global influence of the US housing market and its interest rates, using quantile connectedness models.
10 sharesSource ↗
ML vs. DL: Research shows deep learning methods outperform traditional machine learning in predicting oil prices, especially during crises.
31 sharesSource ↗
The newly introduced MFF-CPPM model in China has demonstrated higher accuracy and flexibility in predicting carbon trading prices compared to standard models.
10 sharesSource ↗
The article discusses a machine learning study that uses weekly jobless claim data to predict the CBOE Volatility Index (VIX), providing insights for investment and risk management.
23 sharesSource ↗
The study reveals that traditional machine learning models outperform deep learning models in predicting stock price direction in the Eurozone banking sector.
13 sharesSource ↗
The research indicates that AI capability directly influences firm performance, with a data-driven culture mediating this relationship and AI infrastructure being a key resource.
5 sharesSource ↗
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 topic.
4 sharesSource ↗
The article discusses the problem of dark patterns in retail investment, and how behavioral sciences and AI can improve regulation and protect investors.
2 sharesSource ↗
The study profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality.
2 sharesSource ↗
The paper discusses how artificial intelligence can improve resource management in cloud environments, enhancing DevOps workflows.
2 sharesSource ↗
The review investigates the link between e-governance initiatives and citizen participation, emphasizing the need for interdisciplinary research for effective evaluation.
2 sharesSource ↗
The paper analyzes literature on factors affecting banks' performance, proposing new research areas in digital transformation, artificial intelligence, and Covid-19 impact.
1 sharesSource ↗
The study tests the applicability of the Work Need Satisfaction Scale (WNSS) to online gig workers, suggesting modifications to better suit online platform work.
1 sharesSource ↗
The general machine-learning papers the letter carried in 2023-25.
10 items
QLASS system enhances language agents' performance and efficiency by providing step-by-step guidance using Q-values, even with limited supervision.
188 shares19 citations todaySource ↗
Platinum benchmarks are introduced to assess the reliability of large language models, showing that even advanced models can struggle with simple tasks.
55 shares54 citations todaySource ↗
MAETok, an autoencoder-based system, creates a semantically rich latent space for high-resolution image synthesis, offering faster training and superior performance.
38 shares94 citations todaySource ↗
NutWorld, a new framework, converts monocular videos into dynamic 3D Gaussian representations for high-quality video reconstruction and real-time applications.
29 shares8 citations todaySource ↗
A novel gradient descent algorithm with adaptive randomness boosts the global convergence rate for nonconvex optimization problems, proving efficient and robust in complex situations.
28 shares6 citations todaySource ↗
The article introduces UAEval4RAG, a system for evaluating the performance of retrieval-augmented generation (RAG) systems in handling unanswerable queries, emphasizing the role of component selection and prompt design.
27 shares10 citations todaySource ↗
The report announces the launch of DeepSeek's new reasoning model, DeepSeekR1, which is cost-effective and competitive with OpenAI's models, impacting the Generative AI field.
23 shares43 citations todaySource ↗
Theorem Proving: The paper presents BFS-Prover, a framework for automatic theorem proving using Lean4, showing that Best-First Tree Search can perform well in large-scale theorem proving tasks.
23 shares92 citations todaySource ↗
Retrieval and RAG Toolkit: The article introduces Rankify, an open-source toolkit that combines retrieval, re-ranking, and retrieval-augmented generation, providing a consistent platform for researchers to compare and evaluate different methods.
21 shares11 citations todaySource ↗
The paper establishes decision-theoretic foundations linking uncertainty quantification with risk-averse decision-making, leading to a new algorithm, Risk-Averse Calibration (RAC), that optimizes action policies while ensuring safety.
20 shares46 citations todaySource ↗
Papers that shipped their code, from the Papers with Code feed (2023-25).
9 items
The article highlights the significant advancements in artificial intelligence, focusing on the progress of large foundational models.
8,178 shares
The article underscores the increasing demand for comprehensive knowledge to back the fast-growing use of large language models.
1,643 shares
The article demonstrates how the second-order optimizer, Muon, enhances the balance between computation and time compared to AdamW.
885 shares
The article presents a new technique using Direct Preference Optimization to enhance musicality and adherence to instructions.
279 shares
Underwater Analysis: AquaSignal is a scalable system designed to process and classify underwater acoustic signals, focusing on reducing noise and detecting new signals.
277 shares
Audio Logic: The use of large language models in audio processing, particularly in large audio/language models, is significantly underexplored.
172 shares
LLM Agent Evaluation: Large Language Models have shown remarkable capabilities in handling a wide range of tasks.
109 shares
The research thoroughly examines the contributors to Out-Of-Distribution (OOD) detection, emphasizing the potential of reconstruction-based tasks in understanding inherent data distributions.
73 shares
The paper presents OLIWER, a large dataset of over 670,000 Chinese handwritten phrases from 1,731 individuals, to address the issue of data scarcity.
36 shares
Repositories the letter featured.
9 items
The article explores a flexible and clean backtesting framework for portfolio allocation problems.
45 shares
The piece presents a toolkit for extracting unstructured data and converting markdown without OCR, for on-premises use.
1,124 shares
The article introduces PostHog, a self-hosted, open-source web analytics tool with session recording, feature flagging, and AB testing capabilities.
27,362 shares
The article offers guidance on quickly and accurately converting PDFs to markdown JSON.
26,020 shares
The article explores a simplified solution for handling large language model workflows through a one-click codebase system.
1,372 shares
The piece offers a detailed list of exceptional open-source intelligence resources available for use.
21,656 shares
The article showcases a customer service situation handled using the OpenAI Agents Software Development Kit.
2,721 shares
RAG Chunking: The article presents Chonkie, a simple RAG chunking library designed for efficient text processing.
1,550 shares
The piece talks about an open protocol aimed at enhancing communication and interoperability among complex agentic applications.
17,288 shares
Industry news: funds, hiring, markets and regulation.
17 items
The finance industry is increasingly seeking IIM Ahmedabad's Quantitative Finance and Risk Management Programme for mastering quantitative skills.
14 shares
AQR's Cliff Asness discusses the challenges of applying machine learning to quant credit and private markets for retail investors.
12 shares
According to Bloomberg, major global trading firms like Millennium Management and Citadel Securities are expanding in India's growing derivatives market.
7 shares
Arini Capital Management has secured a $200m commitment from British Columbia Investment Management Corp for a new Europe-focused private credit fund, in partnership with Lazard Inc.
6 shares
More hedge fund managers are relocating to the UAE from traditional hubs like London and Singapore, drawn by the absence of personal income tax and access to sovereign wealth capital.
5 shares
BlackRock has launched its first market-neutral hedge fund for retail investors in Singapore and Hong Kong, marking a significant move into alternative strategies for wealth clients.
4 shares
Tokenised gold derivatives are set for significant institutional growth as part of a broader adoption of tokenised assets, with 86% of investors interested in these products within the next year.
4 shares
Hedge funds have increased their use of leverage to a five-year high, aggressively investing in financial stocks due to stable US interest rates and rising geopolitical tensions.
4 shares
Former crypto hedge fund executives plan to raise $100 million to establish the first publicly traded company with BNB token as its main treasury asset.
4 shares
TT International has appointed Michael Tambue as an Emerging Markets Investment Specialist, focusing on equities and fixed income.
4 shares
Hedge funds like Palladian Partners are pursuing US court approval of English court decisions that make Argentina responsible for €1.5bn in GDP-linked warrants.
3 shares
A renowned engineer who has helped DIY quants has joined a company with a fresh vision.
3 shares
Hedge fund 352 Capital, owned by Jefferies Financial Group, is seeking to recover over $100m from a Washington bank, alleging involvement in a Ponzi scheme related to water vending machines.
3 shares
Hedgeweek's annual Funds of the Future US 2025 event will take place on 9 October, featuring networking and discussions among hedge fund managers, investors, and industry service providers.
2 shares
Due to rising Middle East tensions after US strikes on Iran, hedge funds and macro traders are reevaluating their negative positions on the US dollar.
2 shares
Man Group, the world's largest publicly traded hedge fund firm, plans to launch two actively managed fixed-income products, marking its entry into the ETF space.
1 shares
GAM Holding has announced Albert Saporta as the new CEO from 1 July 2025, and Tim Rainsford will return as Group Chief Distribution Officer from 1 October 2025.
0 shares
Episodes on markets, quant methods and economics.
10 items
Aude Martin and Andrzej Pioch share insights on the risk of equity market concentration and suggest strategies to mitigate it.
14 shares
Jonny Goulden and Saad Siddiqui discuss the impact of recent market developments on emerging markets fixed income asset class in a 2025 podcast.
8 shares
Experts analyze the foreign exchange implications of various global events including the German budget, NATO summit, and central bank meetings.
6 shares
Christian Mueller-Glissmann and Alexandra Wilson-Elizondo discuss market dynamics and investment strategies for the latter half of 2025.
6 shares
A podcast from June 2025 features a discussion on the impact of Norges Bank, Riskbank, and Bank of England meetings on European rate markets.
5 shares
Global oil prices can surge by 76% due to regime changes in oil-producing countries, says Natasha Kaneva, Head of Global Commodities Research.
4 shares
Goldman Sachs to Rubicon Carbon: Tom Montag, founder of Rubicon Carbon, talks about the emergence of derivatives at Goldman Sachs, Bank of America, and Rubicon Carbon in a podcast.
4 shares
Sean Feeney, former Nasdaq Options Head, explores the workings, risks, and potential of zero-day options in high-speed trading.
4 shares
The article discusses quantitative finance, a field that uses mathematical models and extremely large datasets to analyze financial markets and securities.
2 shares
In a podcast, Rob Arnott and Campbell Harvey discuss the impact of AI, large-scale passive investing, and a mega-cap dominated market on value investing.
2 shares
Posts from quant researchers on X.
7 items
Jonathan Kinlaya compares different algorithmic trading platforms in detail.
5 shares
The article criticizes the overconfidence and high fees associated with active management.
5 shares
The article suggests that Post-Earnings Announcement Drift (PEAD) is most effective when earnings news contradicts investor expectations, despite assertions of its decrease.
0 shares
Expectations: Antti and Thom's series delves into the evolution of academic and investor perspectives on long-term expected returns.
0 shares
Quantica has published a new article providing insightful analysis.
0 shares
Threads from r/quant, r/algotrading and friends.
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