Indices for Economic Systems
The article presents new objective measures for classifying economic systems, aiming to improve the accuracy and depth of comparative economic analysis.
1 shares3 citations todaySource ↗
Quant LetterNo. 124
141 items across 9 sections, as sent to readers on 28 December 2025. Paper titles open their ML-Quant page; ↗ goes to the source.
Quantitative-finance and ML-for-finance preprints from arXiv.
2 items
The article presents new objective measures for classifying economic systems, aiming to improve the accuracy and depth of comparative economic analysis.
1 shares3 citations todaySource ↗
The study examines socioeconomic differences across Turkey's provinces, showing that western regions tend to be better off than those in the east and southeast.
0 sharesSource ↗
Working papers in finance and economics from SSRN.
74 items
The study shows that Ford Motor Company had its smallest earnings per share payout gap in 2020 compared to previous years.
266 shares1 citation todaySource ↗
ML for Economics: Gingado is a developing Python library that helps incorporate machine learning into economic research by enhancing datasets and evaluating models.
163 shares5 citations todaySource ↗
The paper explores how corporate governance relates to sustainability, emphasizing the need to consider stakeholder interests in long-term responsibility practices.
74 shares2 citations todaySource ↗
The article discusses how cryptocurrencies can improve societal functions compared to traditional currencies and emphasizes the innovations needed to build confidence in decentralized finance.
45 sharesSource ↗
This study examines the factors affecting the quality of medical services in Bangladesh, utilizing patient feedback and statistical analysis to pinpoint crucial influences on care quality.
80 sharesSource ↗
The paper investigates the euro area's banking system's role in transmitting asset price shocks to credit during the Covid-19 crisis, highlighting significant frictions and a decrease in lending related to real estate collateral.
132 shares3 citations todaySource ↗
A new financial sentiment index derived from Twitter data shows strong links to market conditions and can forecast stock market returns, particularly in response to changes in U.S. monetary policy.
105 sharesSource ↗
The study examines Ford's financial data from 2017 to 2021, finding a significant low payout gap in 2020 earnings per share.
266 shares1 citation todaySource ↗
ML for Economics: Gingado is a Python library for improving economic research in machine learning, offering tools for benchmarking models and simulating datasets.
163 shares5 citations todaySource ↗
The paper discusses how corporate governance and sustainability are linked, emphasizing the role of stakeholder relationships in promoting long-term responsibility.
74 shares2 citations todaySource ↗
Decentralized Finance: The article highlights how cryptocurrencies can offer advantages over traditional currencies, focusing on necessary innovations to build trust in decentralized finance.
45 sharesSource ↗
This study examines factors affecting the quality of medical care in Bangladesh, noting that prescription length and communication significantly influence patient experiences.
80 sharesSource ↗
The paper explores how banking systems relay asset price shocks to credit, uncovering complex dynamics between real estate values and lending during the Covid-19 pandemic.
132 shares3 citations todaySource ↗
By analyzing Twitter data, researchers created a sentiment gauge that forecasts stock market movements and monetary policy shifts, suggesting sentiment is responsive to strict monetary conditions.
105 sharesSource ↗
Global liquidity from banks impacts responses to crises and eases funding strains internationally.
77 sharesSource ↗
Higher ESG scores in auto loan securitizations lower costs and consumer interest rates, despite environmental concerns.
1,044 sharesSource ↗
A portfolio approach to drug development may improve investment returns and speed up vaccine creation.
108 sharesSource ↗
Robert C. Merton is a significant finance scholar known for his work on derivatives pricing and finance theories.
456 sharesSource ↗
Lower volatility Brazilian stocks have consistently outperformed high-volatility stocks in annual returns from 2003 to 2021.
610 sharesSource ↗
Online discussions about central bank policies correlate strongly with market volatility, especially around ECB announcements.
181 sharesSource ↗
Investor preferences affect firms' green investments, potentially slowing down the transition to sustainable practices.
504 shares1 citation todaySource ↗
The effectiveness of multifactor models for corporate bond returns is debated, with a preference for the bond CAPM in analyses.
3,698 sharesSource ↗
Foreign institutional investors significantly increased their USD security holdings, influenced by varying currency hedging demands.
881 sharesSource ↗
Israeli mutual funds hold excessive cash, indicating a need for better liquidity management to reduce redemption risks.
58 shares3 citations todaySource ↗
Bitcoin's price volatility significantly reacts to FOMC and CPI announcements, showing unique patterns during inflation.
174 sharesSource ↗
Subscription-based credit rating agencies may have biases that lead to overly optimistic ratings, complicating conflict resolution.
447 sharesSource ↗
Analyzing Japanese stock charts with CNN reveals predictive patterns for returns, independent of common momentum trends.
181 sharesSource ↗
Carbon transition risk is adversely affecting equity prices in the US and Europe, driving fund flows to greener investments.
334 shares2 citations todaySource ↗
Global investments in environmental and climate projects are diversifying as investors integrate more green initiatives into their portfolios.
66 sharesSource ↗
This paper shows that diversification in domestic bonds is possible in the Banja Luka Stock Exchange using Harry Markowitz's portfolio analysis.
330 sharesSource ↗
The study finds that gamma trading in equity options boosts risk-return profiles, despite reduced attractiveness since the 2008 crisis.
874 sharesSource ↗
It presents a portfolio method based on Nonnegative Matrix Factorization for better diversification and risk management in global portfolios.
229 shares1 citation todaySource ↗
The paper utilizes deep neural networks to more accurately estimate equity risk premia over time, enhancing the interpretability of machine learning in economics.
1,135 shares5 citations todaySource ↗
It tackles a sparse risk parity portfolio problem for index tracking while managing asset risks, with successful results on the SP 500.
169 sharesSource ↗
The study examines the changes in the Chinese government bond yield curve during the pandemic, highlighting new behaviors and arbitrage potential.
132 sharesSource ↗
It establishes optimal trading rules for multiple assets with predictable returns, showing performance benefits through simulations.
630 sharesSource ↗
The research indicates that social financial advice significantly boosts stock market participation, especially through close social ties.
314 shares1 citation todaySource ↗
The paper outlines the required conditions for modeling stock prices with characteristics-based factor portfolios, addressing covariate structure issues.
89 sharesSource ↗
It introduces Ultimate Host Economies for Foreign Direct Investment (FDI), reexamining the global FDI network through a probabilistic analysis of Italy.
54 shares1 citation todaySource ↗
The study highlights how technological changes are reshaping financial intermediaries, necessitating regulatory updates.
346 shares8 citations todaySource ↗
It finds that central bank asset purchases during the pandemic led corporate bond fund managers to take more risks, affecting market stability.
51 shares1 citation todaySource ↗
The paper reveals that green firms experience smaller stock price declines than brown firms when interest rates rise due to sustainability preferences.
543 sharesSource ↗
It develops real-time Tail Risk-Managed portfolios that minimize tail risks and enhance risk-return profiles compared to standard strategies.
440 sharesSource ↗
The study promotes the use of Bayesian statistics in finance to better analyze large AI-generated datasets and mitigate misleading significance from traditional methods.
300 sharesSource ↗
Drivers: Global liquidity relies on funding institutions' characteristics and can be stabilized by robust local regulations during financial crises.
77 sharesSource ↗
Higher ESG scores in auto loans reduce costs for consumers but inadvertently make high-emission vehicles cheaper.
1,044 sharesSource ↗
The portfolio financing method seeks to attract investors by diversifying vaccine development across many candidates.
108 sharesSource ↗
MIT Overview: Nobel laureate Robert C. Merton is recognized for his key contributions to finance, especially in pricing derivatives and assets.
456 sharesSource ↗
A study indicates that low volatility Brazilian stock portfolios have outperformed high volatility ones over 20 years.
610 sharesSource ↗
Machine learning reveals that public discourse on monetary policy notably influences market volatility around ECB announcements.
181 sharesSource ↗
Research shows minor changes in investor preferences can significantly alter corporate investments in green technologies.
504 shares1 citation todaySource ↗
Establishing common factor pricing in corporate bonds is difficult, with risk factors providing limited explanations.
3,698 sharesSource ↗
There has been a notable increase in foreign USD securities and hedging activities by global institutional investors post-2008 crisis.
881 sharesSource ↗
Israeli mutual funds face challenges with excessive cash, highlighting a need for better liquidity management strategies.
58 shares3 citations todaySource ↗
Bitcoin's trading volume and volatility have responded significantly to economic news, especially amid rising inflation since 2021.
174 sharesSource ↗
Egan-Jones Credit Ratings show a consistent bias towards giving optimistic ratings to institutional clients, raising ethical concerns.
447 sharesSource ↗
A statistical learning approach finds that past stock chart features can predict future returns in Japan, beyond typical momentum.
181 sharesSource ↗
Carbon intensity data reveals that carbon transition risk negatively impacts stock returns, swaying investor interest towards green stocks.
334 shares2 citations todaySource ↗
There’s a growing trend of investor interest in environmental and climate investments, leading to more sustainable securities in portfolios.
66 sharesSource ↗
The paper applies Harry Markowitz's portfolio analysis for better bond diversification in the Banja Luka Stock Exchange.
330 sharesSource ↗
It studies gamma trades in equity options, showing that dispersion trade can enhance risk-return profiles in changing markets.
874 sharesSource ↗
Using Nonnegative Matrix Factorization, the research offers a new risk factor budgeting method for better asset allocation in cryptocurrencies and traditional portfolios.
229 shares1 citation todaySource ↗
The study uses deep neural networks to uncover time-varying equity risk premia, improving the application of machine learning in finance.
1,135 shares5 citations todaySource ↗
It addresses the sparse risk parity index tracking problem, providing a numerical method for optimizing S&P 500 indexed portfolios.
169 sharesSource ↗
The research analyzes changes in the Chinese government bond yield curve during COVID-19, revealing new arbitrage opportunities.
132 sharesSource ↗
The paper presents trading rules for multiple assets, showing that optimal trading can significantly improve performance by considering predictable returns and transaction costs.
630 sharesSource ↗
The study finds that social financial advice from family and friends increases stock market participation, especially among diverse socioeconomic groups.
314 shares1 citation todaySource ↗
It concludes that traditional asset pricing methods need specific conditions to hedge factor return risks, highlighting the role of covariance structure.
89 sharesSource ↗
The paper reconstructs the global FDI network to identify Ultimate Host Economies for Foreign Direct Investment using Markov chain analysis.
54 shares1 citation todaySource ↗
It discusses how technological advancements from BigTech and FinTech challenge traditional banking functions and regulatory frameworks.
346 shares8 citations todaySource ↗
The study reveals that central bank asset purchases during the pandemic encouraged corporate bond funds to take on more risk.
51 shares1 citation todaySource ↗
Green firms experience smaller stock price declines than brown firms when monetary policy tightens, benefiting from sustainable investor preferences.
543 sharesSource ↗
This research develops Tail Risk-Managed portfolios that lower tail risk and improve Sharpe ratios compared to traditional strategies, even with trading costs.
440 sharesSource ↗
The paper highlights the importance of Bayesian statistics for analyzing large financial datasets generated by AI, addressing traditional statistical significance issues.
300 sharesSource ↗
Economics working papers from RePEc's NEP field reports.
30 items
Machine learning is used to evaluate stock returns in the Pakistan Stock Exchange to spot assets linked to market downturns and suggest better portfolio allocations.
10 sharesSource ↗
The growing trend of algorithmic trading and passive investing in emerging markets poses risks during downturns, highlighting the need for better trading systems to protect investments.
9 sharesSource ↗
A new portfolio optimization method using non-Gaussian models decreases turnover and enhances performance during market stress, showing resilience in crises like COVID.
9 sharesSource ↗
Trading strategies based on the Sharpe Ratio outperform buy-and-hold tactics globally, supporting the Adaptive Market Hypothesis and emphasizing the need to adjust to market inefficiencies.
8 sharesSource ↗
Disagreements in economic outlook influence financial risk and stock market returns, especially for smaller, less profitable stocks.
5 sharesSource ↗
This paper offers a method for efficiently managing target benefit pension plans by optimizing benefits and investments using advanced control techniques.
5 sharesSource ↗
A new Window Data Envelopment Analysis method enhances performance evaluation of decision-making units over time and is applied to foreign exchange and utility sectors.
5 sharesSource ↗
The study reveals that American puts have different expected returns than European puts when considering early exercise, affecting option profitability.
4 sharesSource ↗
The idea of sustainable return is introduced to assess long-term investment success, focusing on return sequence risk and the importance of reinvesting cash flows.
4 sharesSource ↗
News sentiment analyzed by GPT-4 significantly influences stock return volatility, affecting firms positively and negatively.
6 sharesSource ↗
J-Plus is a gamified app that improves emotional speech recognition and digital skills in journalism, showing that gamification boosts user motivation and learning.
4 sharesSource ↗
Increased competition in the product market drives firms to adopt zero-leverage strategies, particularly when earnings are volatile, highlighting the impact of market dynamics on financial choices.
4 sharesSource ↗
A new machine learning technique effectively models complex financial time series, showing better results than traditional methods during the COVID-19 pandemic.
6 sharesSource ↗
Two advanced deep learning frameworks enhance the estimation of financial risk metrics, supporting improved risk management for institutions following Basel regulations.
6 sharesSource ↗
Shocks in the US housing market are shown to have widespread effects, suggesting that policymakers should pay attention to US housing and monetary policy changes.
5 sharesSource ↗
Using long-term treasury bond futures volatility can significantly improve predictions of volatility in China's stock market, benefiting investors.
5 sharesSource ↗
BERT models excel in article classification compared to traditional algorithms, while GPT-3.5-turbo's effectiveness varies across fields, indicating the importance of dataset size.
4 sharesSource ↗
The study examines hate speech in Spanish-speaking anti-abortion Twitter communities, highlighting a male-driven narrative shaped by religious and political factors.
4 sharesSource ↗
The paper discusses the difficulties in predicting demand for new fashion items and proposes that machine learning can improve forecasting accuracy.
4 sharesSource ↗
The study compares machine learning and deep learning for oil price predictions, concluding that deep learning methods provide greater accuracy, particularly in crisis situations.
4 sharesSource ↗
Machine learning effectively predicts the VIX, emphasizing the role of jobless claims data in improving trading strategies.
12 sharesSource ↗
Traditional machine learning models outperform deep learning in predicting stock prices of major Eurozone banks due to dataset constraints.
7 sharesSource ↗
The Work Need Satisfaction Scale (WNSS) must be revised for online gig workers, as traditional factors don't capture their unique experiences.
2 sharesSource ↗
AI can enhance resource management in cloud computing for DevOps, leveraging predictive analytics, reinforcement learning, and anomaly detection.
2 sharesSource ↗
The study examines young informal workers in the EU27 before the pandemic, providing insights into their sectors and motivations for informal work.
2 sharesSource ↗
A Review: A review of 72 articles shows e-governance can boost citizen engagement and transparency, but its effectiveness relies on technology, digital skills, and public trust.
2 sharesSource ↗
Regulatory Insights: The article examines how digital investment platforms use manipulative tactics on users, proposing that behavioral science and AI could help mitigate these issues.
1 sharesSource ↗
Trends and Research: A literature review on bank efficiency identifies important factors affecting performance and suggests future research directions related to COVID-19 and digital finance trends.
1 sharesSource ↗
Data Culture's Role: The study reveals that AI capabilities improve company performance, with a strong data-driven culture as a key factor, highlighting the importance of AI infrastructure.
1 sharesSource ↗
Policy Insights: Research stresses the importance of communication and machine learning in fighting climate change, promoting interconnected policies for achieving net-zero emissions.
1 sharesSource ↗
Papers that shipped their code, from the Papers with Code feed (2023-25).
3 items
The paper presents a framework for improving AI systems by adapting agents and tools, focusing on design strategies and challenges to boost AI performance.
328 shares
A new framework for Scientific General Intelligence (SGI) is introduced, enhancing existing models with TestTime Reinforcement Learning to improve their scientific capabilities.
50 shares
The research analyzes large language model policies by dissecting them into modular parts, revealing reasoning patterns and advocating for Bottom-up Policy Optimization to enhance complex reasoning tasks.
19 shares
Repositories the letter featured.
9 items
This guide provides resources and tips for developing and implementing quantitative trading strategies.
169 shares
A compilation of AI projects that explore complex machine learning and deep learning topics.
165 shares
An unbiased personal finance app available to all users, not tied to Maybe Finance Inc.
639 shares
A Python library dedicated to Kalman filtering and optimal estimation, accompanied by a book for deeper understanding.
2,926 shares
Agentic Design Patterns provides methods for developing intelligent systems effectively.
6,595 shares
The repository offers code for the Meta Segment Anything Audio Model, including model downloads and sample notebooks.
2,428 shares
The article explores AI systems that can autonomously write code over several sessions.
3,649 shares
The terminal text editor is built to be easy to use, efficient, and quick.
2,556 shares
Episodes on markets, quant methods and economics.
10 items
Roundtable: Niels and his cohosts discuss the difficulties trend followers face in 2025, focusing on market selection and risk management in volatile conditions.
8 shares
Doug King: Doug King emphasizes that real market conditions are crucial for trading commodities, rather than relying solely on traditional strategies.
8 shares
Adapting to Change: Greg Babij argues that buy-and-hold strategies are outdated and promotes the need for flexible portfolio management.
7 shares
Income & Small Caps: Jay Hatfield reviews how the Fed's rate cuts could benefit investments, particularly in preferred stocks and small-cap equities.
7 shares
Cheikh Fall: Cheikh Fall explores the use of AI in quantitative finance, highlighting challenges and the need to prepare future researchers for changes in the field.
6 shares
Eric Peters talks about managing risks and trends in finance during a December 2025 conversation.
6 shares
Jack Ablin shares thoughts on investing in founder-led firms and future market strategies.
6 shares
Kai Wu examines the changing AI investment scene and stresses the need for a strategic investor approach.
5 shares
Cory Zechmann discusses combining human curation with machine learning in content discovery for better balance.
3 shares
Jeff Praissman and Scott Bauer assess market resilience and discuss potential surprises in holiday trading amid global uncertainties.
2 shares
Posts from quant and economics blogs and newsletters.
10 items
Option-implied volatility data can help investors manage risk in a more systematic way.
4 shares
Russell Korgaonkar highlights the importance of smart portfolio choices for quantitative investors during uncertain times.
3 shares
Boosting Returns: Hedge fund tactics and better risk management can improve traditional 60/40 investment portfolios.
3 shares
A long-term investment approach that focuses on diversification and risk controls can work well without needing to foresee the future.
2 shares
Insights gained from private markets can signal trends in public markets, with natural language processing aiding this analysis.
2 shares
The AHL team examines terrorism insurance as an alternative to catastrophe bonds.
2 shares
Governments use bonds to fund long-term sustainability projects and shape key policies.
1 shares
Despite difficulties in 2025, Man AHL's CIO believes patient trend investors will reap benefits.
1 shares
Position Scaling: Modifying investment amounts according to volatility improves cryptocurrency risk management.
1 shares
Successful portfolio building is like a great recipe, needing a well-thought-out formula.
1 shares
Posts from quant researchers on X.
1 items
A new study indicates that earnings contracts on Polymarket, a prediction market platform, are more effective at forecasting company earnings than traditional analysts.
0 shares
Threads from r/quant, r/algotrading and friends.
2 items
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