Stylized Facts in Financial Markets
The article examines eleven financial market patterns across different regions and cryptocurrencies over 150 years, offering insights into their reliability and applicability.
38 shares6 citations todaySource ↗
Quant LetterNo. 93
156 items across 9 sections, as sent to readers on 16 April 2025. Paper titles open their ML-Quant page; ↗ goes to the source.
Quantitative-finance and ML-for-finance preprints from arXiv.
20 items
The article examines eleven financial market patterns across different regions and cryptocurrencies over 150 years, offering insights into their reliability and applicability.
38 shares6 citations todaySource ↗
The study investigates the use of credit default swaps (CDS) to reduce default risk in the equity market, indicating that optimal CDS policies cover both immediate equity losses and future trading losses.
22 sharesSource ↗
The article reiterates the use of credit default swaps (CDS) to lessen default risk in the equity market, showing that optimal CDS policies cover both immediate equity losses and future trading losses.
22 sharesSource ↗
The paper presents a new algorithm, Trading Graph Neural Network (TGNN), that predicts the impact of various factors on asset prices in trading networks, surpassing existing methods in prediction accuracy.
17 shares1 citation todaySource ↗
The article presents an open-source framework for a simulated stock market, where large language models act as trading agents, allowing for analysis of market dynamics under different conditions.
16 shares26 citations todaySource ↗
The research extends the convergence result of a scale-invariant estimator, proving its consistent estimation of the Hurst parameter in rough stochastic volatility models.
14 shares4 citations todaySource ↗
The paper proposes a new GARCH-GRU model for financial volatility forecasting, showing better computational efficiency and forecasting accuracy than other models.
13 shares3 citations todaySource ↗
The article introduces the Pontryagin-Guided Direct Policy Optimization framework for solving large-scale portfolio optimization problems, capable of handling up to 50 assets and 10 state variables.
11 shares4 citations todaySource ↗
A study reveals that the latest versions of AI outperform humans in decision-making, showing nearly perfect Bayesian classifications, unlike humans and early AI versions that exhibit judgement biases.
26 shares2 citations todaySource ↗
A new market-based portfolio variance has been derived, accounting for random trade volumes, which could help portfolio managers and macroeconomic model developers adapt to market realities.
22 sharesSource ↗
A proposed trend-based modelling framework can analyze gender-related aspects of innovation processes in SMEs, identifying 13 scenarios and possible transitions, offering a practical solution for complex, data-scarce systems.
15 sharesSource ↗
A study using UN migration data shows that cultural proximity significantly influences migration patterns, with wealthier countries' migrants choosing culturally similar destinations, and half of OECD countries showing a bias towards accepting culturally close migrants.
14 sharesSource ↗
A study finds that consumers knowledgeable about electric vehicles and their environmental benefits, and who trust in the growth of charging stations, are more likely to consider buying one.
13 sharesSource ↗
The chapter discusses the risk of automation in developing countries' labor markets, with a focus on gender differences due to prevalent gender-based job segregation.
13 shares1 citation todaySource ↗
Research on the global food supply network shows its increased robustness over time, but warns that severe shocks to key suppliers like the US and India could cause a systemic collapse.
12 shares1 citation todaySource ↗
A machine learning study identifies distance as the key factor influencing how children in Switzerland travel to school.
11 sharesSource ↗
DeepGreen is a system that uses large language models to identify green-washing in corporations by analyzing their financial statements, showing that green practices can boost a company's asset return rate.
16 shares7 citations todaySource ↗
EthosGPT is an open-source framework that uses large language models to assess and map human values globally, aiding in the creation of inclusive AI systems and promoting value diversity in accordance with the United Nations Sustainable Development Goals.
16 sharesSource ↗
The article discusses a new method for portfolio optimization using principles like the Commonality Principle and introduces a new risk management framework.
23 shares7 citations todaySource ↗
The paper presents an automated trading strategy for battery energy storage systems in the power intraday market, showing increased revenue potential dependent on trading speed.
17 shares6 citations todaySource ↗
Working papers in finance and economics from SSRN.
53 items
Open Government Data (OGD) has helped decrease personal default rates in China, especially in high-risk areas and among younger and middle-aged people.
5 sharesSource ↗
Despite progress in deep learning, challenges remain in Handwritten Text Recognition (HTR) due to varying handwriting styles and complexities like cursive writing and irregular spacing.
5 shares1 citation todaySource ↗
Corporate tax avoidance increases corporate inequality and promotes oligopolistic markets, particularly impacting knowledge-intensive industries such as Big Tech and Big Pharma.
4 sharesSource ↗
The authors offer raw financial report data and Python code to help download and parse these documents, addressing the difficulty of extracting specific sections from long documents.
3 sharesSource ↗
Kolmogorov-Arnold Networks (KANs) are a strong alternative to MultiLayer Perceptron (MLP) for time series analysis and forecasting, as outlined in the survey.
3 sharesSource ↗
A model with varied probability weighting parameters can predict decision-making behavior in complex lotteries with a 53% accuracy rate.
3 sharesSource ↗
The study shows that about 90% of information exchange between the Nifty index spot and futures markets occurs within two weeks, with volatility being more crucial than liquidity for improving the informational efficiency of the index futures market.
2 sharesSource ↗
The article discusses the use of machine learning for risk assessment and valuation in the financial sector, emphasizing its potential to enhance risk management.
2 sharesSource ↗
The research focuses on the use of machine learning for predictive maintenance in the QAD ERP system, aiming to minimize downtime and optimize equipment use.
2 sharesSource ↗
The study analyzes the effect of US-China tensions on the volatility and hedging of gold and crude oil prices, showing a significant impact on long-term crude oil price volatility.
2 sharesSource ↗
The article explores the influence of public sentiment on companies' financial performance after ethically dubious actions, indicating that negative sentiment can both help and hinder performance.
3 sharesSource ↗
JetGenie, an AI-based conversational system, is designed to simplify airline ticket booking through intelligent automation and real-time support, providing a personalized solution for modern travelers.
3 sharesSource ↗
The study reveals systematic decision errors in dynamic portfolio choice, highlighting the importance of problem framing and supporting a libertarian paternalistic approach to choice architecture design.
4 sharesSource ↗
The research presents a tensor-based framework that expands AI's algebraic foundations to quantitative finance, proving its effectiveness in simulating a portfolio of systematic investment strategies.
2 sharesSource ↗
The paper suggests a method to disguise input data in federated learning to prevent information leakage, ensuring the modifications do not change the solutions.
2 sharesSource ↗
Japan vs Korea: The study finds that Korea's stock market is more susceptible to cyber attacks and AI-driven sentiment than Japan's.
8 sharesSource ↗
The research shows that total return swaps can either harm minority shareholders or benefit all shareholders, depending on their use.
7 sharesSource ↗
The paper suggests that policymakers need to decide when copyright holders should be compensated in the context of AI training.
9 sharesSource ↗
The study emphasizes the need for region-specific cybersecurity strategies in Japan and Korea due to the impact of cyber incidents and AI sentiment on their stock markets.
5 sharesSource ↗
Acquiring & Managing Large-Scale Data Sets: The paper discusses how combining Quantum Machine Learning with classical machine learning can enhance computational performance and accuracy.
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The research highlights the importance of AI and cloud-based storage in managing large-scale datasets economically and operationally.
4 sharesSource ↗
The study compares the effectiveness of five machine learning classifiers in detecting wormhole attacks in IoT networks.
3 sharesSource ↗
Structural Breaks & Threshold Effects: The article explores the growing use of cloud data integration and machine learning in managing specific data in biopharmaceutical supply chain operations.
2 sharesSource ↗
The study analyzes the link between implied equity volatility and corporate bond spreads during financial crises using statistical methods.
3 sharesSource ↗
The paper suggests a regime switching model to estimate beta and volatility, addressing traditional event study methodology's limitations during volatility shifts.
2 sharesSource ↗
Theory & Evidence on UK and US Import Tariffs: The author uses machine learning to predict U.S. stock returns, with ensemble methods showing the best performance.
2 sharesSource ↗
The study uses simulation models to study the effects of persistent bilateral trade deficits and import tariffs on key economic indicators.
4 sharesSource ↗
The work suggests a machine learning-based antenna for 5G and IEEE applications, offering a high tuning range and total spectrum.
3 sharesSource ↗
The study investigates the effect of short selling on liquidity commonality in Chinese stock markets, finding it reduces systematic liquidity risk.
2 sharesSource ↗
A study finds that companies with higher data privacy risks have lower earnings and higher bank loan costs, based on analysis of earnings call transcripts.
7 sharesSource ↗
A paper reveals a 6-10% variation in India's Equity Risk Premium (ERP) per 1% change in growth assumptions, highlighting the impact of volatile inflation on nominal risk premiums.
4 sharesSource ↗
Research indicates that fund managers in areas affected by chemical spills improve their ESG scores by shifting from low to high ESG stocks, suggesting social factors influence portfolio changes.
3 sharesSource ↗
The Global Fear of Missing Out (FOMO) Index, using Google Trends data, forecasts lower stock returns, decreased volatility, and weaker Sharpe ratios, especially in democratic countries, showing the role of psychology and politics in finance.
2 sharesSource ↗
The study suggests that controlling residents' capital outflows can stabilize domestic asset markets and prevent uninformed traders from losing wealth to speculators, as evidenced by housing markets.
2 sharesSource ↗
The study reveals that national stock market indices perform poorly when influenced by daily media coverage, particularly negative news and significant index changes.
2 sharesSource ↗
The paper proposes a theory, Strategic Undervaluation, explaining how states can intentionally lower the value of key assets to gain geopolitical advantage and destabilize rival economies.
2 sharesSource ↗
The research shows that ultra short-dated option spreads, specifically zero-day-to-expiration SP 500 Index iron condors, provide a reliable advantage that can be scaled for fund deployment, especially when entered just before market close.
2 sharesSource ↗
The article highlights the crucial role of audit trails in detecting systematic exposures, enhancing economic stability, discouraging regulatory deviance, and rebuilding investor trust.
2 sharesSource ↗
The research indicates that active options trading can decrease price volatility and enhance hedging effectiveness in futures markets, as shown by the 1936 US commodity options trading ban.
5 sharesSource ↗
The study reveals that financial returns on videogame attributes, such as CSGO skins, surpass most traditional and alternative assets, offering diversification benefits.
7 sharesSource ↗
The paper shows that listed real estate can match the performance of direct real estate and enhance the returns of a multiasset portfolio.
5 sharesSource ↗
The research finds that speculators did not trigger volatility in futures markets during the interwar period, but rather entered volatile markets without increasing volatility.
3 shares4 citations todaySource ↗
The book introduces a unified paradigm that views the capital market as a rational learning machine, with a focus on the equity risk premium puzzle.
4 sharesSource ↗
The study investigates the performance of equity mutual funds, aiming to verify the persistence in their results using two risk-adjusted return indicators.
3 sharesSource ↗
The paper presents a new model for predicting high-frequency intraday conditional discrete return densities and volatility using deep learning, which surpasses empirical nonparametric forecasting rules and Space State Models.
3 sharesSource ↗
Firm value can be increased by short selling constraints, but large costs or bans can negatively impact it and affect corporate investment decisions.
3 sharesSource ↗
The Community Bank Leverage Ratio (CBLR) boosts risk-taking and profitability in small U.S. community banks, mainly through asset reduction.
3 sharesSource ↗
Startups focusing on biodiversity raise less capital but attract a wider range of investors, emphasizing the significance of hybrid financing models.
3 sharesSource ↗
Firms' earnings announcements' textual disclosures contain crucial information, explaining more stock return variation than traditional financial measures.
3 shares40 citations todaySource ↗
Tariff shocks, like those announced by President Trump, impact inflation expectations, capital investment, and output through asset price channels.
3 sharesSource ↗
P-index Approach: A study using European put options to measure asset risk found that materials sector stocks in China's SSE 50 index had the highest annual return rates.
3 sharesSource ↗
The Russia-Ukraine war has led to geopolitical risk premiums in European banks' debt and equity markets, with more exposed banks facing higher funding costs and lower stock returns.
3 sharesSource ↗
The book introduces a new paradigm that views the capital market as a rational learning machine, with expectations being more volatile due to risk instability.
4 sharesSource ↗
Economics working papers from RePEc's NEP field reports.
30 items
A second-generation Automated Adaptive Trading System may stabilize emerging markets during downturns, countering challenges posed by algorithmic trading and passive investing.
27 sharesSource ↗
Machine learning has been utilized to identify assets causing downward trends in the Pakistan Stock Exchange, proposing an efficient asset allocation scheme.
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 Sharpe Ratio Minimae and Maximae trading strategies are more profitable than the buy-and-hold strategy in global markets, supporting the Adaptive Market Hypothesis.
15 sharesSource ↗
The study introduces a new window analysis method for assessing decision-making units' efficiency over time, using the Whale Optimization Algorithm to identify stable trading strategies and companies.
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 blockwise reduced modeling (BRM) method improves data analysis with missing patterns by using pretrained ensemble models, resulting in superior predictive performance.
20 sharesSource ↗
A new machine learning strategy, momentum‐determined indicator‐switching (N‐MDIS), enhances the accuracy of equity premium prediction, outperforming other strategies.
19 sharesSource ↗
Research shows that as product market competition (PMC) intensifies, firms are more likely to adopt zero-leverage (ZL) strategies, particularly those with high earnings volatility.
18 sharesSource ↗
A study reevaluates the role of news sentiment in stock return volatility, finding that accurately measured news sentiment significantly impacts intraday stock return volatility.
16 sharesSource ↗
An adaptation of Stochastic Gradient Boosting is proposed for Data Envelopment Analysis (DEA), reducing overfitting and performing well in high-dimensional settings.
16 sharesSource ↗
A study reveals that machine learning models are more effective than traditional methods in predicting Chinese corporate merger and acquisition activities.
28 sharesSource ↗
New probabilistic deep learning frameworks have been proposed for estimating financial risk measures, offering improved performance and aiding in better capital allocation.
27 sharesSource ↗
Machine learning methods can more accurately predict Chinese stock market volatility using the volatility of long-term treasury bond contracts, a study finds.
24 sharesSource ↗
The article proposes a new algorithm and machine learning model to improve the efficiency and accuracy of 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, providing an alternative to the Box-Jenkins methodology for financial modeling.
13 sharesSource ↗
The study uses machine learning to create a monetary policy frictions index from financial news, finding that these frictions significantly impact the nonperforming loans of Chinese commercial banks.
12 sharesSource ↗
The research uses machine learning to study the international housing market, finding that the US housing market is the main source of systematic shocks and its interest rate is a key global predictor of spillover intensities.
10 sharesSource ↗
ML vs. DL: Deep learning methods have been found to be more effective than traditional machine learning in predicting oil prices, especially during crises.
31 sharesSource ↗
The newly introduced MFF-CPPM model in China has shown higher accuracy and flexibility in predicting carbon trading prices compared to standard models.
10 sharesSource ↗
The article discusses a study that uses machine learning to predict the CBOE Volatility Index, highlighting the importance of weekly jobless claim data for investment and risk management strategies.
23 sharesSource ↗
The study reveals that traditional machine learning models outperform advanced deep learning models in predicting Eurozone banking sector stock prices, due to dataset limitations.
13 sharesSource ↗
The article suggests that a firm's performance is directly influenced by its AI capability, with a data-driven culture and AI infrastructure being key factors for success.
5 sharesSource ↗
The research highlights the importance of communication in addressing climate change, using machine learning to analyze social media discussions on the subject.
4 sharesSource ↗
The study investigates the use of dark patterns in retail investment, suggesting the use of behavioral sciences and AI to improve regulation and control the issue.
2 sharesSource ↗
The research profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality.
2 sharesSource ↗
The article discusses how artificial intelligence can improve resource management in cloud environments, boosting DevOps workflows' performance and efficiency.
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 factors affecting banks' performance, proposing new research areas related to digital transformation, artificial intelligence, and COVID-19's impact.
1 sharesSource ↗
The study tests the Work Need Satisfaction Scale's applicability to online gig workers, suggesting modifications to better reflect the specifics of online platform work.
1 sharesSource ↗
Papers that shipped their code, from the Papers with Code feed (2023-25).
6 items
Large Language Models (LLMs) have significantly improved AI capabilities, enhancing reasoning, perception, and action in diverse areas.
650 shares
The article presents a consistent data synthesis pipeline designed to tackle complex problems.
436 shares
Quantizing large language models is a prevalent technique used to reduce their memory and computational costs.
328 shares
LocAgent improves codebase search by using directed heterogeneous graphs for a lightweight representation.
233 shares
NdLinear is suggested as an advanced alternative to standard linear layers for next-gen neural architectures.
100 shares
Issue resolving involves altering a codebase to create a patch that fixes a specific problem.
70 shares
Repositories the letter featured.
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The article recommends two books and provides related source codes to help readers understand algorithmic trading.
496 shares
The article shares a code repository for creating an ArbitrageFree Implied Volatility Surface using Variational Autoencoders.
30 shares
The article explores the process of generating synthetic data for tabular data.
2,588 shares
The article presents Apache ECharts, a powerful tool for creating interactive charts and visualizing data in browsers.
63,061 shares
The article showcases a set of Monte Carlo and Markov Chain Monte Carlo algorithms through straightforward examples.
376 shares
The article explores a visual nocode editor specifically created for shadcnui components.
1,038 shares
This piece provides a guide on how to operate GitHub Actions in a local setting.
59,615 shares
The article introduces a new JavaScript engine designed for animations.
57,164 shares
The piece presents a Python toolkit that is open-source and designed for creating, evaluating, and deploying advanced AI agents.
2,260 shares
The article discusses an open protocol that enables communication and interoperability among opaque agentic applications.
5,219 shares
Industry news: funds, hiring, markets and regulation.
19 items
Cboe Global Markets has expanded its S&P 500 offerings by introducing trading in S&P 500 Equal Weight Index options.
11 shares
Block Asset Management has introduced the BAM Blockchain Alpha Fund, a multi-manager hedge fund targeting the digital asset sector.
10 shares
At the Funds of the Future Summit, H2O Asset Management's CTO, Timothee Consigny, discussed the role of AI and data analytics in hedge funds.
7 shares
Despite underperforming during the recent US stock market surge, global long/short equity hedge funds remained resilient during volatility, as per Morgan Stanley and Goldman Sachs data.
7 shares
There is a continued high demand for AI professionals in the hedge fund industry.
6 shares
The SSampC GlobeOp Hedge Fund Performance Index reported a decrease in performance with a gross return of 1.61 in March.
5 shares
Millennium Management is withdrawing its capital from Pamalican Asset Management, a Hong Kong-based hedge fund.
4 shares
Bloomberg has launched the Bloomberg Global Commodity Transition Metals Index to track the performance of metal commodities futures contracts.
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Frank Spiteri, the Head of Asset Management at CoinShares International Limited, a digital assets company, has resigned.
4 shares
Hedge fund manager, Sculptor Capital Management, has gained regulatory approval to operate in Abu Dhabi, UAE.
3 shares
Digital asset investment products saw a third week of declines, with $795m in outflows last week, totaling $7.2bn in outflows since February.
3 shares
Amid US market uncertainties, Chinese hedge fund Greenwoods Asset Management has increased its exposure to Hong Kong-listed equities.
2 shares
LTP, a digital asset prime broker, has launched a new over-the-counter trading platform, moving towards becoming a fully integrated multi-asset prime broker.
2 shares
Rumors are circulating about a potential unexpected departure from Citadel Securities.
2 shares
Elliott Investment Management has acquired a stake worth over $1.5bn in Hewlett Packard Enterprise, becoming one of its largest shareholders.
2 shares
Sharp market reversals have unexpectedly affected many computer-driven traders.
2 shares
Qube Research & Technologies hedge fund has revealed a $105m short position in Trump Media & Technology Group.
1 shares
Ray Dalio, founder of Bridgewater Associates, has called on the US to reach a trade deal with China to ease growing tariff tensions.
1 shares
Systematica Investments' main hedge fund has seen a 19% drop year-to-date due to challenges with trend-following strategies.
1 shares
Episodes on markets, quant methods and economics.
10 items
US rates strategists highlight the historic volatility in US rates markets, pointing out a decline in Treasury market liquidity and shrinking swap spreads.
12 shares
Goldman Sachs' James Reynolds and Lotfi Karoui explore the effects of increasing global economic uncertainty on the future of private credit.
6 shares
UBS Global Wealth Management's Chief Economist, Paul Donovan, examines the impact of structural economic changes, such as flexible working and demographic shifts.
6 shares
Global FX Strategists review a turbulent week for currency markets, discussing key policy implications and future challenges from a global macroeconomic viewpoint.
5 shares
The changing dynamics of natural gas power generation demand are predicted to significantly impact summer 2025, with a stronger production response likely postponed to 2026.
5 shares
The episode explores the complexities of family offices, their growth in North America, transition to multifamily offices, investment management, privacy issues, and the role of journalism in this sector.
4 shares
The 'At Any Rate' podcast examines the effects of US reciprocal tariffs on EM Asia macro and markets, including changes in global economic perspectives, Asian growth predictions, policy reactions, and potential risks.
2 shares
The podcast features Mirza discussing the impact of Trump's policies on Canada and his overall strategy, based on his experience in global foreign exchange research and trading.
2 shares
MacroVoices invites Simon White to discuss the Trump Tariff Tornado, treasuries, and the reasons behind the basis trade disruption.
2 shares
The Data Science at Home episode features Kenny Vaneetvelde discussing Atomic Agents, a new AI development framework, its practical applications, and advice for AI developers and businesses.
1 shares
Posts from quant researchers on X.
2 items
The latest investing research roundup discusses topics including the predictability of bond and stock returns, timing momentum, disagreement in option markets, and notable finance blogs.
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The article talks about the possible violation of creators' rights and intellectual property caused by the training of models.
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Threads from r/quant, r/algotrading and friends.
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