AI Traders and Market Dynamics
The research explores how AI traders affect market price formation and volatility, providing a deeper understanding of the GARCH model and AI's impact on market dynamics.
9 shares5 citations todaySource ↗
Quant LetterNo. 67
September 2024, Week 4
128 items across 10 sections, as sent to readers on 25 September 2024. Paper titles open their ML-Quant page; ↗ goes to the source.
- Items
- 128
- Papers
- 53
- Sections
- 10
- Issue
- No. 67
arXiv
Quantitative-finance and ML-for-finance preprints from arXiv.
22 items
Finance10
SemiMarkov Models in Trading
The paper presents jump-diffusion models to understand limit order book data in algorithmic and high-frequency trading, offering optimal solutions for trading issues within a stochastic optimal control framework.
8 shares2 citations todaySource ↗
Neural Networks for Hedging
The study uses neural networks to determine optimal replication strategies for an option, indicating that gamma hedging is used to manage model uncertainty rather than to lessen transaction costs.
7 shares1 citation todaySource ↗
Interest Rate Derivatives in Market
The research prices financial derivatives based on a continuous time Markov chain's state at maturity, demonstrating how to replicate such claims by trading only a money market account and zero-coupon bonds.
6 sharesSource ↗
Heston Model Validation
The study applies the Heston model to option pricing, using Monte Carlo simulations and machine learning methods to estimate parameters and evaluate the model's robustness and relevance in today's financial markets.
5 sharesSource ↗
Municipal Bonds Impact
The study reveals that implicit government guarantees can improve municipal investment bond ratings, especially in less developed areas, based on text mining analysis.
5 sharesSource ↗
Position-building Games
The paper presents an enhanced optimal-trading framework that calculates optimal strategies considering real-world constraints, by redefining the framework as a quadratic programming problem.
4 shares2 citations todaySource ↗
Portfolio Optimization Algorithm
The paper introduces a new method for portfolio optimization that simultaneously adjusts the return level and the portfolio, making it easier to adapt to the fluctuating financial market.
3 sharesSource ↗
Extended Home Loan Effects
The article discusses the economic implications of extending the duration of home loans in the French real estate market, emphasizing potential advantages, risks, and the need for structural reforms.
3 sharesSource ↗
Efficient Frontier Estimation
The paper uses random matrix theory to study the asymptotic behavior of the mean-variance efficient frontier, finding that two out of three key quantities are biased and overestimated in high-dimensional asymptotic conditions.
3 sharesSource ↗
Economics8
Pressure in Competition
The study finds that rival pressure in bench press competitions leads to riskier attempts initially and more cautious attempts towards the end.
8 sharesSource ↗
Workplace Flexibility Factors
The study reveals that factors such as company size, income, tenure, workplace, and job satisfaction significantly influence workplace autonomy in schedule choice.
2 sharesSource ↗
Network Influence on Goods
The paper shows that an individual's network, particularly old friends, strongly influences their video game adoption and usage.
2 shares1 citation todaySource ↗
Optimal Dynasty Length
The study finds that blending two discounting schemes in a dynasty with identical Bernoullian utilities and Cobb-Douglas production prevents the objective function from exploding to infinity, and the optimal planning horizon is not necessarily infinite.
2 sharesSource ↗
Gender Disparities in Finance Promotions
Australian finance professionals of both genders are equally likely to seek promotion, but men benefit more from 'gifted advancements', indicating a need for fairer promotion policies.
2 shares1 citation todaySource ↗
Community Currency Network Analysis
Analysis of Kenya's Sarafu token network data shows the significance of cycles in economic networks and potential system misuse by some users.
2 shares1 citation todaySource ↗
Three-Child Policy and Delayed Retirement
A study suggests that China's three-child policy and delayed retirement will affect labor supply, with the latter having a quicker impact on rural surplus labor transfer.
2 sharesSource ↗
Temperature Variability and Natural Disasters
Research shows that temperature variability, rather than high temperatures, predicts natural disasters, underlining the psychological toll of climate change.
2 sharesSource ↗
Crypto & Blockchain3
Liquidity Provisioning in DeFi
The article explores a leveraged Concentrated Liquidity protocol that enhances capital efficiency in Decentralized Finance's Automated Market Makers, and confirms its safety.
5 sharesSource ↗
Financial vs. Gambling Markets
The study identifies parallels between financial and gambling markets, proposing that financial market strategies could be used to innovate and optimize the gambling industry.
3 shares4 citations todaySource ↗
Bitcoin Market Efficiency Analysis
The research uses machine learning to analyze tweets, suggesting that a large portion of Bitcoin market movements can be predicted from public information in tweets.
3 shares8 citations todaySource ↗
Historical Trending1
Enhancing NACE Classification with OpenAI
The article introduces a new technique to convert the NACE classification of economic activities in the European Union into simpler forms, while maintaining its hierarchical structure. This enhances the efficiency of tasks such as clustering and classification.
3 shares1 citation todaySource ↗
RePEc
Economics working papers from RePEc's NEP field reports.
21 items
Finance2
Geopolitical Risk Hedging for Hedge Funds
Hedge funds requiring larger minimum investments and higher management fees are more effective at mitigating geopolitical risks, while global macro hedge funds excel at predicting these risks, offering crucial guidance for private investors during times of increased geopolitical uncertainty.
16 sharesSource ↗
Dynamic Portfolio Selection with Factors
A new system of factor models has been developed to capture both return and risk dynamics, with an optimal portfolio policy that outperforms benchmark policies in terms of the Sharpe ratio, indicating investors' expectations of future investment opportunities.
15 sharesSource ↗
Statistical7
Reinforcement Machine Learning for Portfolio Optimization
The chapter discusses the application of reinforcement machine learning and quadratic optimization in determining risk limits and investment portfolios, especially during the 2007-2009 financial crisis.
31 sharesSource ↗
Predicting Cryptocurrency Volatility
The SHARV-MGJR model, which includes volatility leverage effects and current return data, is suggested to enhance the precision of cryptocurrency market volatility forecasts, surpassing GARCH-type models.
22 sharesSource ↗
XAI Framework for Risk Management
The article highlights the difficulties of using machine learning models in practical risk management in banking due to their opacity and lack of explainability, and introduces a framework for leading eXplainable AI methods.
20 sharesSource ↗
Market Sentiment Predictions
The study finds that shipping market sentiment, analyzed through language models, can predict freight rates, with these models performing better than lexicon-based sentiment analysis.
19 sharesSource ↗
Futures Markets & the Baltic Dry Index
The research shows that China's futures market fluctuations can accurately predict changes in the Baltic Dry Index (BDI), aiding policy adjustments and decision-making in the shipping industry.
17 sharesSource ↗
AI in Finance
The book provides insights into the role of artificial intelligence and machine learning in finance, linking their origins to the human aspiration for automation.
17 sharesSource ↗
Bot Detection & Stock Market Predictions
The study presents a model to enhance bot detection on Twitter and predict the influence of bot tweets on stock market volatility, using an autoencoder to improve accuracy.
15 sharesSource ↗
Machine Learning10
Sentiment Analysis in Finance
Sentiment Analysis is being utilized in finance to predict market trends and investment opportunities, with different algorithms having unique strengths and weaknesses.
31 sharesSource ↗
Dynamic Currency Hedging
A new method using machine learning models for hedging foreign exchange risk in international equity portfolios has been proposed, enhancing currency risk hedging.
30 sharesSource ↗
Machine Learning for Portfolios
Despite current limitations, machine learning is transforming finance and portfolio management, with reinforcement learning techniques promising future progress.
29 sharesSource ↗
Reinforcement Learning for Allocation
Deep reinforcement learning algorithms are being used in portfolio allocation for risk minimization and return maximization.
25 sharesSource ↗
Machine Learning in Real Estate
A model combining a random effects model with machine learning algorithms accurately predicts commercial real estate asset values, offering insights not available with standard algorithms.
23 sharesSource ↗
DeFi Facts
The article explores the transformative impact of Decentralized Finance (DeFi) on the cryptocurrency market, affecting its efficiency, volatility, and returns.
18 sharesSource ↗
Fake News Detection
The study presents a machine learning model that can detect fake news with 99% accuracy using logistic regression and feature hashing vectorisation.
16 sharesSource ↗
ML Techniques for Fraud Detection
The study analyses literature on financial fraud detection using machine learning, highlighting a trend towards using real datasets, particularly in credit card fraud detection.
15 sharesSource ↗
Credit Risk Management
The article examines the application of AI in creating credit scoring models by banks to assess the creditworthiness of borrowers.
14 sharesSource ↗
Crude Oil Volatility Forecasting
The study shows that machine learning forecasts offer superior predictions for the volatility of WTI futures prices, resulting in economic benefits.
14 sharesSource ↗
Deep Learning1
Stock Prediction News Headlines
This article discusses the application of machine learning and deep learning techniques to analyze financial news headlines, with the aim of identifying low volatility stocks that perform better than the Standard and Poor’s 500 Index.
18 sharesSource ↗
Historical Trending1
Validating Causal Models with Probing
The article introduces a new method called quantitative probing for checking the validity of causal models. It shows its effectiveness through simulations and offers open-source Python packages for its use in causal analysis.
12 sharesSource ↗
Machine learning
The general machine-learning papers the letter carried in 2023-25.
10 items
Historical Trending10
Element Ordering Impact on LM Agent Performance
The sequence of elements presented to language model agents in virtual environments greatly affects their performance, with random sequences causing similar performance drops as removing all visible text.
27 shares3 citations todaySource ↗
Eager Mode Bundle Adjustment with PyTorch
A new Bundle Adjustment framework, compatible with PyPose and PyTorch, has been launched, offering increased efficiency and adaptability in various robotic applications.
25 shares8 citations todaySource ↗
NNCopula-CD for Change Detection in Remote Sensing
NN-Copula-CD, a new method for detecting changes in heterogeneous remote sensing images, combines copula theory and deep neural networks, improving disaster monitoring and land-use management.
23 shares13 citations todaySource ↗
Chain-of-Thought Benefits on Math and Symbolic Reasoning
The chain-of-thought method is most beneficial for tasks involving math or logic in large language models, indicating a need for new methods that utilize intermediate computation across various applications.
23 shares371 citations todaySource ↗
ML Approaches for Diagnostics and Prognostics in Industrial Systems
A review of machine learning methods for diagnosing and predicting industrial system issues using open-source datasets offers a unified framework and highlights future research directions in the Prognostics and Health Management field.
20 shares21 citations todaySource ↗
Decision Calibration Error
The article introduces Calibration Decision Loss (CDL), a new calibration error metric, and an efficient online calibration algorithm that surpasses existing metrics in decision payoff.
18 shares13 citations todaySource ↗
GPUAccelerated UKAN
The authors present a GPU-accelerated library for Kolmogov-Arnold Networks (KANs) and a new algorithm, Unbounded KANs (UKANs), that removes the need for a bounded grid, enhancing computational efficiency and scalability.
10 shares3 citations todaySource ↗
Safe Reinforcement Learning
The paper extends the safe exploration method, ATACOM, with learnable constraints for reinforcement learning in real-world robots, emphasizing long-term safety and uncertainty management.
10 shares5 citations todaySource ↗
Uncertainty-Aware Visual-Inertial SLAM
The study suggests a visual-inertial simultaneous localization and mapping method that tightly integrates various factors with dense volumetric occupancy mapping, enhancing localization and mapping precision for robotic planning and control.
9 shares7 citations todaySource ↗
Qwen.5-Coder Report
The report unveils the Qwen2.5-Coder series, an improvement from its predecessor, showcasing remarkable code generation abilities and achieving top-tier performance in various code-related tasks.
8 shares1,558 citations todaySource ↗
Papers with code
Papers that shipped their code, from the Papers with Code feed (2023-25).
14 items
Trending7
CompileTime Prompt Optimization
Modern LLM applications are now using prompts as programs in tasks that involve retrieval augmented generation.
530 shares
D Asset Generation
The demand for high-quality 3D assets in different industries is promoting the creation of efficient, automated 3D content.
517 shares
Qwen.5Coder Upgrade
The Qwen2.5Coder series, an upgrade from the CodeQwen1.5, has been launched according to a recent report.
507 shares
KolmogorovArnold Transformer: Model Performance
Model Performance: The article introduces the KolmogorovArnold Transformer (KAT), a new model architecture that enhances performance by replacing MLP layers with KAN layers.
259 shares
RePlay: Faster Model Development
Faster Model Development: The article emphasizes the benefits of using a single tool for building and comparing recommender systems, which can expedite the launch of new models.
215 shares
QAMDT: Music Generation with Masked Diffusion Transformer
Music Generation with Masked Diffusion Transformer: The article highlights the growing popularity of diffusion-based text-to-music (TTM) generation, a technique for creating music from text.
197 shares
Internal Consistency in Language Models: Survey
Survey: The article provides a comprehensive perspective on internal consistency, explaining the causes of reasoning deficiencies and hallucinations.
114 shares
Rising7
Limits of Agency in AgentTorch
The paper presents AgentTorch, a framework that enables the expansion of Agent-Based Models to millions of agents using Large Language Models.
113 shares
Diagram of Thought: Modeling Iterative Reasoning with DoT
Modeling Iterative Reasoning with DoT: The article introduces Diagram of Thought, a framework that represents iterative reasoning in Large Language Models as a directed acyclic graph.
104 shares
QWTforGithub: Conditional Denoising Diffusion Model for Point Cloud Upsampling
Conditional Denoising Diffusion Model for Point Cloud Upsampling: The study explores the development of point cloud upsampling methods, specifically focusing on sparse point cloud feature extraction and upsampling module design.
102 shares
Faster GaussianSplatting with LM
A new method, 3DGSLM, has been developed to accelerate the reconstruction of 3D Gaussian Splatting by replacing the ADAM optimizer with a custom LevenbergMarquardt.
88 shares
Enhancing Sample Efficiency with Diffusion Models
Recent progress in reinforcement learning has been propelled by large-scale data and deep neural networks, particularly for complex, high-dimensional tasks.
86 shares
Breaking reCAPTCHAv2 with ML
A study investigates the efficacy of using sophisticated machine learning techniques to solve captchas from Google's reCAPTCHAv2 system.
86 shares
Training Language Models via RL
Training through SFT is found to either experience a distribution mismatch between the training data and the model's responses, or it tends to favor a certain mode of correction behavior that is often ineffective at test time.
48 shares
GitHub
Repositories the letter featured.
10 items
Finance5
Financial Analytics with Python
The article DX Analytics Financial and Derivatives Analytics with Python discusses the application of Python in financial and derivatives analytics.
707 shares
Optiver Trader Go Competition
Implemented the AvellanedaStoikov marketmaking strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition details the use of a marketmaking strategy in an automated trading contest.
50 shares
Portfolio Optimization with Deep Learning
Portfolio optimization with deep learning explores the application of deep learning in enhancing investment portfolios.
899 shares
StockEmotions Sentiment Analysis
Repository for StockEmotions Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series accepted by AAAI 2023 Bridge AI for Financial Services is about a project that utilizes AI to study investor emotions and financial sentiment.
43 shares
Time Series Analysis
Collection of notebooks for time series analysis is a set of notebooks for analyzing time series data.
341 shares
Trending5
Fast MMRelated Toolbox
The article explores a toolbox designed to simplify millimeter-related calculations.
109 shares
AutoJobsApplierAIHawk
AutoJobsApplierAIHawk, an AI tool that automates and personalizes job applications, is discussed in the article.
12,629 shares
PyTorch Geometric Library
The article presents a new Graph Neural Network Library specifically created for PyTorch.
20,986 shares
IcedTrade
The piece introduces a desktop application that displays basic order flow in cryptocurrency markets across various platforms.
19 shares
Temporal Graph Builder
The article provides a guide on constructing and querying dynamic, time-sensitive Knowledge Graphs.
803 shares
News
Industry news: funds, hiring, markets and regulation.
20 items
Quantitative10
Wintermute's Crypto CFD Volumes Surge
Wintermute Asia Pte Ltd has updated its CFD offering and made it available for trading on its electronic OTC platform, Wintermute NODE.
11 shares
Hawk Tuah's Viral Machine Learning Rant
Hawk Tuah has criticized the overuse of advanced machine learning models by junior quant researchers in a widely shared rant.
10 shares
Stock Picking Advances in Machine Learning
Top000funds reports that machine learning is overcoming significant challenges in stock picking.
8 shares
Citadel Hires for Fixed Income and Macro
Citadel hedge fund has hired several London-based portfolio managers for its Fixed Income and Macro business, with start dates ranging from November this year to mid-2025.
5 shares
Digital Asset Managers' Tech Tools
Token has been awarded Portfolio Management Solution of the Year at the Hedgeweek Global Digital Assets Awards 2024 for its technology solutions for digital asset investment managers.
5 shares
Two Sigma SEC settlement talks
Two Sigma, a US-based hedge fund, is negotiating with the SEC to settle a trading misconduct case.
5 shares
DTCCs AIP 2500 clients
The Depository Trust & Clearing Corporation's Alternative Investment Product service has reached over 2500 clients, including hedge funds, for automated investment processing.
5 shares
Multimanager hedge funds allocations increase
Multimanager hedge fund firms like Millennium Management and Schonfeld Strategic Advisors are increasingly investing in other hedge funds to utilize capital and discover new talent.
4 shares
Goodwin Balyasny equities unit lead
Balyasny Asset Manager's $21bn hedge fund is starting a new phase with star portfolio manager Peter Goodwin leading his own long/short equity division within the firm.
4 shares
Axyon AI SVP Business Development hire
Axyon AI has appointed Nicholas “Nick” Greenland as Senior Vice President of Business Development, a company known for AI-powered asset rankings and investment solutions.
4 shares
Miscellaneous10
Eminence Capital's Profitable Smartshare Deal
Eminence Capital is set to profit significantly from Blackstone and Vista Equity Partners' $8.4bn purchase of Smartsheet.
4 shares
Wolfe Profiting from Quant ETFs
Wolfe is utilizing a new method provided by Quant ETFs to capitalize on research, as reported by BNN Bloomberg.
4 shares
Hedge Funds Bullish on Precious Metals
Hedge funds are increasing their positive investments in gold and silver, expecting the Federal Reserve's upcoming easing cycle, according to Commodity Futures Trading Commission data.
4 shares
Multimanagers: Trends and Shifts
Trends and Shifts: A report by Hedgeweek, sponsored by SS&C Technologies, explores the growth of the multi-manager model in the hedge fund industry.
3 shares
Thompson Street's Continuation Fund II
Thompson Street Capital Partners, a St. Louis-based private equity firm, has completed a secondary market transaction to extend its partnership with Gurobi Optimization.
3 shares
Man Group's Fees
Man Group Plc, a leading hedge fund firm, is implementing passthrough fees for its multistrategy hedge fund clients, following industry trends.
3 shares
DIFC Hits 1000 Employees
Dubai is emerging as a major hub for hedge funds, with firms like Millennium Management and Balyasny Asset Management employing over 1000 people.
3 shares
Hedge Fund Industry at 8-Year High
According to a Bank of America report, the largest hedge funds now control 75% of the industry, with multistrategy firms being the most favored.
3 shares
AI Quant ETF for Stock Gains
A new quant ETF is utilizing AI to pinpoint potential profitable stock opportunities.
2 shares
Two Sigma's CEO Appointments
There exists a hedge fund where the majority of the staff do not have a background in finance.
2 shares
Podcasts
Episodes on markets, quant methods and economics.
10 items
Quantitative5
Noel Smith: Hedge Fund & Interest Rate Futures
Hedge Fund & Interest Rate Futures: Noel Smith, CIO at Convex Asset Management, highlights the significance of cross-asset analysis and adaptability during market fluctuations in his hedge fund management journey.
19 shares
Rob Citrone: Argentina Outlook
Argentina Outlook: Rob Citrone of Discovery Capital Management forecasts a change in investment patterns with increased volatility and reduced returns, and anticipates Latin America to surpass Asia in future performance.
9 shares
EM Fixed Income: Post-Fed Impact
Post-Fed Impact: In a podcast recorded on 20 September 2024, Jonny Goulden and Saad Siddiqui discuss the impact of recent market changes on the EM fixed income asset class.
8 shares
Hal Lambert: Political Influence
Political Influence: Hal Lambert of Point Bridge Capital explains the influence of political decisions on investment strategies and the alignment of portfolios with investors' ideological beliefs.
7 shares
Global FX: Funders vs. Cyclicals
Funders vs. Cyclicals: Global FX Strategists James Nelligan, Patrick Locke, and Junya Tanase discuss the impact of the Fed and BoJ's actions on low-yielding currencies and more cyclical FX in the future.
5 shares
Related5
Gold Prices Surge
Gold prices have reached a record high of over 2600oz following a 50bp interest rate cut by the Fed, driven by strong demand from China and central banks.
4 shares
Rick Rule on Gold Investment
Finance expert Rick Rule discusses the negative impact of price controls, potential weakening of fiat currencies due to the Fed's rate cut, and the advantages of investing in gold and silver.
4 shares
Ben Cherrington on Distribution
Ben Cherrington of LGIM talks about the difficulties of investment distribution in the hybrid working era and the decrease in corporate hospitality.
4 shares
Jay Pelosky on US Economy
Jay Pelosky, founder of TPW Advisory, discusses the possibility of a recession, US earnings and productivity, and the need for diversification in equity investments beyond tech.
3 shares
Roelof Botha with Sequoia Capital
Roelof Botha from Sequoia Capital shares insights on his career, Sequoia's unique investment strategies, and his approach to identifying and nurturing sustainable businesses.
3 shares
Blogs
Posts from quant and economics blogs and newsletters.
8 items
Quantitative4
US Fed Rate Cut Traders Impact
The article examines the potential impact on Indian equity markets following the US Federal Reserve's 50bps cut in the Fed Fund rate.
4 shares
ShareMarkets Weekly Update
The article discusses the potential effects on Indian equity trading due to the recent cut in the Fed Fund rate by the US Federal Reserve.
4 shares
Labor Market Ridesharing Impact
The article focuses on the potential impact on Indian equity markets due to the US Federal Reserve's recent cut in the Fed Fund rate.
4 shares
Trading Indian Equity Markets Fed Day
The article explores the possible effects on Indian equity markets following the recent cut in the Fed Fund rate by the US Federal Reserve.
4 shares
Related4
US Fed Rate Cut Impact
The article investigates the potential of systematic trading in Indian equity markets following the US Federal Reserve's 50bps cut in the Fed Fund rate.
4 shares
ShareMarkets Update
The potential impact of the US Federal Reserve's recent Fed Fund rate cut on Indian equity market trading, especially on Fed Day, is discussed in this article.
4 shares
Ridesharing Labor Market Impact
This article explores the implications of the US Federal Reserve's recent Fed Fund rate cut on systematic trading in the Indian equity markets on Fed Day.
4 shares
Indian Equity Markets on Fed Day Trading
The article examines the potential of systematic trading in Indian equity markets on Fed Day in light of the recent Fed Fund rate cut by the US Federal Reserve.
4 shares
X / Twitter
Posts from quant researchers on X.
7 items
Quantitative3
Statistical Arbitrage on Crude Futures
Research by Fanelli, Fontana, and Rotondi shows that using statistical arbitrage strategies on Brent WTI and Shanghai crude futures can yield profits even after accounting for costs.
4 shares
Portable Alpha
Choffstein and his team have written an informative article on the concept and application of portable alpha.
2 shares
Big Data Asset Pricing Course
Lasse Pedersen from Copenhagen Business School provides a detailed course on Big Data Asset Pricing, including useful lecture notes.
2 shares
Miscellaneous4
Volatility Targeting Review
Article: The article explores the principles and empirical data of volatility targeting strategies, particularly timing momentum strategies.
2 shares
Trend ETF Construction
Article: The article presents an interview with Corey Hoffstein about the creation of trend replication ETFs, return stacking, and market insights.
1 shares
UK Asset Pricing Factors
Article: The article reviews a new paper by Tharyan Gregory and Chen that develops asset pricing factors and test portfolios for the UK market from 1980-2024.
0 shares
Wavelets and LLMs Fine-tuning
Article: The article examines the application of wavelets and LLMs embeddings in the process of fine-tuning.
0 shares
Threads from r/quant, r/algotrading and friends.
6 items
Quantitative5
Screen Addiction
1,028 shares
Chapman's Harassment
105 shares
Wall Street Quants
97 shares
Data Analysis
92 shares
Credit Success
36 shares
Rising1
RSI2 Backtest Results
78 shares