---
title: Quant Letter No. 78: December 2024, Week 2
url: https://www.ml-quant.com/issues/2024-12-12/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
issue_date: 2024-12-12
---


# Quant Letter No. 78: December 2024, Week 2

Sent 2024-12-12. 159 items.

## arXiv

### Finance

- __[ChatGPT Research in Accounting](http://dx.doi.org/10.1016/j.accinf.2024.100715)__: The article reviews recent research on the use of Large Language Models in accounting and finance, highlighting three key trends and suggesting potential areas for future study. (2024-12-07, shares: 24) · https://www.ml-quant.com/papers/doi/10-1016-j-accinf-2024-100715/
- __[Tail Risk Alert Model](http://arxiv.org/abs/2412.06193v1)__: The research uses AI to study tail risk in US financial markets, revealing a significant spillover effect from the credit market to the stock market. (2024-12-09, shares: 6) · https://www.ml-quant.com/papers/arxiv/2412.06193/
- __[Auto-Generating Earnings Analysis](http://arxiv.org/abs/2412.08179v1)__: The study introduces a new method for automating earnings reports analysis using Large Language Models, with promising initial findings. (2024-12-11, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.08179/
- __[Volatility Prediction](http://arxiv.org/abs/2412.07223v1)__: The article presents a unique AI model for predicting future volatility in emerging stock markets, showing high accuracy and low error rates. (2024-12-10, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.07223/
- __[Hype-Adjusted Volatility Forecasting](http://arxiv.org/abs/2412.07587v1)__: The paper introduces a new Natural Language Processing method for market forecasting, using a hype-adjusted probability measure to enhance forecast accuracy. (2024-12-10, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.07587/
- __[Machine Learning for Pricing Parameters](http://arxiv.org/abs/2412.05070v1)__: The study suggests using machine learning to fine-tune Fourier methods for pricing European options, leading to quicker, error-controlled algorithms. (2024-12-06, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.05070/
- __[Volatility Prediction with AI](http://arxiv.org/abs/2412.07223v1)__: The article introduces an AI model that merges back-propagation neural network and genetic algorithm for precise prediction of future volatility in emerging stock markets. (2024-12-10, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.07223/
- __[Passive Market Impact](http://arxiv.org/abs/2412.07461v1)__: The research introduces a microstructure model to examine the market impact of passive orders, replacing the constant information content assumption with a function based on the limit order book volume. (2024-12-10, shares: 4) · https://www.ml-quant.com/papers/arxiv/2412.07461/
- __[Rethinking Leveraged ETFs](http://arxiv.org/abs/2412.05431v1)__: The paper investigates the potential of Leveraged Exchange Traded Funds (LETFs) in long-term investment strategies, using a neural network approach to devise strategies that beat standard benchmarks. (2024-12-06, shares: 4) · https://www.ml-quant.com/papers/arxiv/2412.05431/
- __[Comparison of Generative Models for Time Series](http://arxiv.org/abs/2412.06417v1)__: The study contrasts deep generative models (DGMs) and parametric models for creating financial time series, highlighting the advantages of DGMs in an implied volatility trading task. (2024-12-09, shares: 3) · https://www.ml-quant.com/papers/arxiv/2412.06417/

### Economics

- __[India's Cooling Emissions Analysis](http://arxiv.org/abs/2412.06360v1)__: A study shows a 292.4% increase in India's carbon emissions from residential cooling between 2000 and 2022, mainly due to fan use, suggesting energy-efficient building designs to help reach net-zero by 2070. (2024-12-09, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.06360/
- __[Work-from-Home Impact on Suburbanization](http://arxiv.org/abs/2412.07459v1)__: A Polish survey indicates that age, commuting method, perceived work productivity changes, and sector ownership significantly influence the likelihood of office workers moving to suburbs due to remote work opportunities. (2024-12-10, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.07459/
- __[Startup AI Exposure in Labour Market](http://arxiv.org/abs/2412.04924v1)__: The AI Startup Exposure index suggests that high-skilled jobs are not uniformly at high risk from AI, with AI adoption in workplaces being gradual and influenced by social factors and technical feasibility of AI applications. (2024-12-06, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.04924/
- __[AI Law Evolution](http://arxiv.org/abs/2412.05090v1)__: The article discusses the potential impact of generative AI on law, suggesting it may decrease the need for court services in property and contract law, but increase litigation in areas like tort law. (2024-12-06, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.05090/
- __[Consumer Audio Ad Sensitivity](http://arxiv.org/abs/2412.05516v1)__: Research involving 35 million Pandora listeners indicates that an increase in ad exposure leads to reduced listening time and a rise in paid ad-free subscriptions. (2024-12-07, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.05516/
- __[Suburban Remote Work Relocation](http://arxiv.org/abs/2412.07459v1)__: A study on Polish office workers shows that factors such as age, commuting mode, perceived work productivity changes, and sector ownership significantly affect their preference for moving to the suburbs due to remote work opportunities. (2024-12-10, shares: 7) · https://www.ml-quant.com/papers/arxiv/2412.07459/

### Miscellaneous

- __[Soccer Skill Evaluation Model](http://arxiv.org/abs/2412.05911v1)__: The Soccer Factor Model (SFM) is a new method for evaluating soccer players' performance independently from their team's influence, allowing for more accurate comparisons. (2024-12-08, shares: 19) · https://www.ml-quant.com/papers/arxiv/2412.05911/
- __[Private Smart Meter Data Market](http://arxiv.org/abs/2412.07688v1)__: A proposed joint energy and data market allows retailers to buy private smart meter data from consumers to reduce market uncertainty, while maintaining privacy during the process. (2024-12-10, shares: 11) · https://www.ml-quant.com/papers/arxiv/2412.07688/
- __[Continuous Double Auctions](http://arxiv.org/abs/2412.08624v1)__: A new implementation of continuous double auctions improves order matching speed and introduces an efficient automatic checker, beneficial for market regulators. (2024-12-11, shares: 6) · https://www.ml-quant.com/papers/arxiv/2412.08624/
- __[Gen AI Labor Market Impact](http://arxiv.org/abs/2412.07042v1)__: A study reveals the growing demand for ChatGPT-related skills in the U.S. labor market, identifying five key skill sets and emphasizing the widespread use of Generative AI in various sectors. (2024-12-09, shares: 5) · https://www.ml-quant.com/papers/arxiv/2412.07042/

### Historical Trending

- __[Productivity Measurement with Large Language Models](http://arxiv.org/abs/2405.08030v4)__: Researchers have developed a method to label unstructured text, using it to create a clinical trials census, questioning the perceived decline in pharmaceutical research productivity. (2024-05-12, shares: 27) · https://www.ml-quant.com/papers/arxiv/2405.08030/
- __[Machine Learning for Stochastic Control](http://arxiv.org/abs/2411.08668v2)__: A proposed machine learning algorithm effectively solves complex, time-limited stochastic control problems, showing good convergence and efficiency without depending on the Bellman equation. (2024-11-13, shares: 12) · https://www.ml-quant.com/papers/arxiv/2411.08668/
- __[Semantic Consistency with BERT in Social Sciences Research](http://arxiv.org/abs/2412.04505v1)__: A comparison study found that BERT performs better than Word2Vec in short-term contexts in social sciences text analysis, but has difficulty with slow semantic changes over longer periods. (2024-12-03, shares: 11) · https://www.ml-quant.com/papers/arxiv/2412.04505/
- __[Net Caloric Content in Global Food Trade Analysis](http://arxiv.org/abs/2411.18856v2)__: A study on global food trade using net caloric flows reveals varied trade patterns and offers insights into the global food system's stability, highlighting the need for strategies to improve food trade network sustainability. (2024-11-28, shares: 9) · https://www.ml-quant.com/papers/arxiv/2411.18856/

## SSRN

### Quantitative

- __[GDP Nowcast Model for India](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5045024)__: The article calls for a reassessment of Indian GDP nowcasting models due to COVID-19 related distortions and the influence of high-frequency indicators. (2024-12-06, shares: 14) · https://www.ml-quant.com/papers/ssrn/5045024/
- __[Charge Estimation Methods for Li-Ion Batteries](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5045879)__: The study evaluates different methods of estimating the State of Charge for Li-ion batteries in electric vehicles, including their error ratios and compatibility with machine learning models. (2024-12-06, shares: 5) · https://www.ml-quant.com/papers/ssrn/5045879/
- __[Smart Learning: AI Integration](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5047034)__: AI Integration: The report details the creation of an AI-based hybrid system for SMART learning, using machine learning to predict student course completion success based on performance data. (2024-12-07, shares: 4) · https://www.ml-quant.com/papers/ssrn/5047034/
- __[Mutual-Fund Performance Evaluation](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5052445)__: The piece argues that the traditional mutual fund performance measure, alpha, is unattainable for short-sale-constrained investors, suggesting a smaller, more achievable measure called achievable alpha. (2024-12-11, shares: 3) · https://www.ml-quant.com/papers/ssrn/5052445/
- __[Reinforcement Learning for Rabi Model](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046703)__: The paper introduces a control scheme using reinforcement learning to improve entanglement in a Rabi model, highlighting its resistance to dissipation and broad applicability. (2024-12-06, shares: 6) · https://www.ml-quant.com/papers/ssrn/5046703/
- __[Social Pension Insurance & Household Finances](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046037)__: Research shows that social pension insurance in China enhances the efficiency of household financial portfolios due to changes in risk attitude and precautionary savings. (2024-12-06, shares: 9) · https://www.ml-quant.com/papers/ssrn/5046037/
- __[Datvd: New Vulnerability Detection Method](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046881)__: New Vulnerability Detection Method: A new system, DATVD, uses dynamic attention to improve the accuracy of detecting software vulnerabilities in complex code. (2024-12-06, shares: 8) · https://www.ml-quant.com/papers/ssrn/5046881/
- __[AI Algorithms & Machine Learning for Big Data](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5048954)__: AI and machine learning are revolutionizing big data processing by analyzing large data volumes and complex patterns, with a focus on automation, integration, and explainable AI. (2024-12-09, shares: 2) · https://www.ml-quant.com/papers/ssrn/5048954/
- __[Baijiu Aroma Analysis with OIRD & ML](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5051151)__: A new method using oblique-incidence reflectance difference technology and machine learning algorithms can detect Baijiu aroma and trace components faster and more sensitively than traditional methods. (2024-12-10, shares: 2) · https://www.ml-quant.com/papers/ssrn/5051151/
- __[Portfolio Optimization with Dynamic Factor Copula Model](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046687)__: A new model, the dynamic heterogeneous closed-form factor copula, is proposed for characterizing asset dependence in investment portfolios, using RVaR as a risk measure for increased flexibility and accuracy. (2024-12-06, shares: 3) · https://www.ml-quant.com/papers/ssrn/5046687/
- __[Geoffrey Hinton's Neural Networks Contributions](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4980068)__: The article highlights Geoffrey Hinton's key contributions to neural networks, including backpropagation, deep learning, and Capsule Networks, and their role in current AI applications. (2024-10-08, shares: 224) · https://www.ml-quant.com/papers/ssrn/4980068/
- __[Machine Learning in Business & Economic Research](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4981802)__: The study reveals a lack of transparency in predictive machine learning studies in top business and economic journals, leading to fewer citations. (2024-10-09, shares: 15) · https://www.ml-quant.com/papers/ssrn/4981802/
- __[Forecasting Volatility: S&P 500 Case Study](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5013407)__: S&P 500 Case Study: The research suggests that simple forecasts can effectively stabilize volatility in the SP 500 and Treasury bills, despite trading costs and constraints. (2024-11-06, shares: 6) · https://www.ml-quant.com/papers/ssrn/5013407/
- __[SHODH SAGAR ® Universal Research Reports](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4982774)__: The article discusses the potential of Big Data analytics in enhancing risk management in IT service delivery through real-time risk identification, assessment, and mitigation. (2024-08-30, shares: 2) · https://www.ml-quant.com/papers/ssrn/4982774/
- __[Effective Risk Management in Nigerian Banks](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4989226)__: The study examines the key success factors in risk management practices within the Nigerian banking system, using a mixed-method approach. (2024-10-16, shares: 6) · https://www.ml-quant.com/papers/ssrn/4989226/
- __[Machine Learning for Gas-Liquid Flow](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4988520)__: Machine learning can enhance oil and gas production by accurately predicting multiphase flow models and uncertainties. (2024-10-15, shares: 6) · https://www.ml-quant.com/papers/ssrn/4988520/
- __[Optimal Scaling in Serverless Computing](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5042760)__: Serverless computing in cloud data centers can be optimized using machine learning and feature engineering techniques to predict the best times for provisioning Azure Function Apps. (2024-12-03, shares: 7) · https://www.ml-quant.com/papers/ssrn/5042760/
- __[Alpha-Attractor Quintessential Inflation Analysis](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4989939)__: Alpha-attractor quintessential inflation links inflationary observables and dark energy parameters, constrained by Cosmic Microwave Background measurements and low-redshift observations. (2024-10-16, shares: 5) · https://www.ml-quant.com/papers/ssrn/4989939/
- __[Predicting M&A Outcomes with ML](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4987268)__: Machine learning can predict the success of mergers and acquisitions based on accounting fundamentals and deal characteristics, leading to significant market returns. (2024-10-01, shares: 3) · https://www.ml-quant.com/papers/ssrn/4987268/
- __[Mutual Fund Redemptions and Stock Liquidity](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5028307)__: Mutual fund investor redemptions can reduce the liquidity of stocks, with investor sentiment and stock returns being key factors affecting liquidity. (2024-11-21, shares: 6) · https://www.ml-quant.com/papers/ssrn/5028307/

### Financial

- __[Global Debt Management](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5045732)__: The study reveals that active debt management decisions, such as prepayment, are less beneficial for firms in emerging markets, particularly under tight global credit conditions. (2024-12-06, shares: 14) · https://www.ml-quant.com/papers/ssrn/5045732/
- __[Accounting Fraud Impact](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5049576)__: The research finds that accounting fraud significantly increases financial distress, with prior misinformed decisions worsening the distress after the fraud is revealed. (2024-12-10, shares: 17) · https://www.ml-quant.com/papers/ssrn/5049576/
- __[Retail Investor Response](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5053211)__: The study shows that monetary policy shocks in open economies lead to a shift in assets, with wealthier clients showing a stronger shift from fixed income securities to riskier options. (2024-12-12, shares: 5) · https://www.ml-quant.com/papers/ssrn/5053211/
- __[Event-Driven Connectedness](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5050777)__: The research identifies 21 significant historical events that increased volatility in oil-based commodity prices, with geopolitical events having a more consistent impact than economic or natural events. (2024-12-10, shares: 7) · https://www.ml-quant.com/papers/ssrn/5050777/
- __[Minimum Holding Period Analysis](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5050385)__: The study warns that relying on short-term metrics or a single simulation method can lead to misleading conclusions about a portfolio strategy's ability to outperform a benchmark due to market volatility and structural shifts. (2024-12-09, shares: 7) · https://www.ml-quant.com/papers/ssrn/5050385/
- __[SL Theory in Quant Finance](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5047749)__: The article presents a framework for using SturmLiouville theory in quantitative finance, suggesting its use in areas like credit risk modeling and portfolio optimization. (2024-12-07, shares: 2) · https://www.ml-quant.com/papers/ssrn/5047749/
- __[Trade Partner Concentration in EU](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046307)__: The study shows that global GDP growth increases export and import concentration, internal rates of return diversify exports but not imports, and European uncertainty decreases concentration of product countries’ origin/destination. (2024-12-06, shares: 5) · https://www.ml-quant.com/papers/ssrn/5046307/
- __[Partisan Consumers](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046064)__: The analysis reveals a rise in politically influenced consumer purchases from 2007 to 2020, with companies catering to both 'red' and 'blue' political factions. (2024-12-06, shares: 10) · https://www.ml-quant.com/papers/ssrn/5046064/
- __[Ethereum ETFs & Institutional Adoption](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5049389)__: The paper discusses the factors leading to the approval of Ethereum exchange-traded funds in 2024, its impact on digital asset adoption, and Ethereum's changing role in traditional finance. (2024-12-09, shares: 2) · https://www.ml-quant.com/papers/ssrn/5049389/
- __[Volatility Demand in Market Turmoil](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5052438)__: The study resolves the paradox of end users reducing their VIX call options during market downturns by examining the demand curves for market makers and end users, emphasizing the market makers' role in market equilibrium. (2024-12-11, shares: 2) · https://www.ml-quant.com/papers/ssrn/5052438/
- __[Investing Study](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5043197)__: The research compares four investment strategies, finding that none consistently outperforms the others, indicating the need for ongoing development of investment approaches. (2024-12-03, shares: 570) · https://www.ml-quant.com/papers/ssrn/5043197/
- __[Beta Challenges](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4990063)__: The article discusses the challenges of trend-following strategies, suggesting they can be mitigated by replicating a broad index of such funds, but warns of the risk of simple replication. (2024-10-15, shares: 205) · https://www.ml-quant.com/papers/ssrn/4990063/
- __[Machine Learning Portfolios](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4988124)__: The paper reviews the main machine learning methods used in portfolio decision-making, discussing their limitations and potential future developments. (2024-10-15, shares: 8) · https://www.ml-quant.com/papers/ssrn/4988124/
- __[Hedge Fund Allocation](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4987003)__: The study argues that substantial investments in hedge funds can be justified due to their diversification benefits, even with minimal or no alpha, but cautions that optimal allocations are highly dependent on alpha assumptions. (2024-10-14, shares: 7) · https://www.ml-quant.com/papers/ssrn/4987003/
- __[CDO Exposures](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5029178)__: The article suggests that collateralized debt obligations backed by asset-backed securities significantly contributed to the distress of large commercial banks during the 2007-2009 crisis. (2024-11-21, shares: 62) · https://www.ml-quant.com/papers/ssrn/5029178/
- __[Stock Return Predictions](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5031755)__: The study indicates that the design of machine learning models for predicting stock returns greatly affects their performance, with nonstandard errors surpassing standard ones by 59. (2024-11-23, shares: 12) · https://www.ml-quant.com/papers/ssrn/5031755/
- __[Bank Securities Portfolios](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4991701)__: The research reveals that US banks' reactions to interest rate changes in 2022-23 were shaped by financial and regulatory constraints, with banks reluctant to sell devalued bonds at a discount. (2024-10-18, shares: 6) · https://www.ml-quant.com/papers/ssrn/4991701/
- __[Large Language Models](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4988022)__: The paper assesses the performance of Large Language Models (LLMs) for time series forecasting, emphasizing the effectiveness of specialized models in complex data situations. (2024-10-15, shares: 21) · https://www.ml-quant.com/papers/ssrn/4988022/
- __[Sustainable Fund Flows](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4989575)__: The study suggests that self-proclaimed sustainability statements in fund prospectus, not external sustainability ratings, primarily influence retail and institutional fund flows. (2024-06-04, shares: 22) · https://www.ml-quant.com/papers/ssrn/4989575/
- __[Disciplining Forecasts](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5046369)__: The research introduces a portfolio optimization framework for the top 500 U.S. stocks, showing that efficient use of characteristic information and risk management can surpass value-weighted portfolios. (2023-03-31, shares: 3) · https://www.ml-quant.com/papers/ssrn/5046369/

## RePEc

### Finance

- __[Optimal Portfolio Analysis with Stochastic Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS0219024924500237%3Bh%3Drepec%3Awsi%3Aijtafx%3Av%3A27%3Ay%3A2024%3Ai%3A05n06%3An%3As0219024924500237)__: The article presents a method for optimizing portfolios in a volatile financial market, using an approximation method to control error and create an optimal portfolio. (2024-12-12, shares: 17) · https://www.ml-quant.com/papers/repec/wsi-ijtafx-v-27-y-2024-i-05n06-n-s0219024924500237/
- __[Correlation Matrix Estimation with Reinforcement Learning](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521924005040%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A96%3Ay%3A2024%3Ai%3Apa%3As1057521924005040)__: The paper introduces a data-driven approach using reinforcement learning to improve the correlation and covariance matrix, demonstrating superior performance in volatility, Sharpe ratio, and downside risk. (2024-12-12, shares: 16) · https://www.ml-quant.com/papers/repec/eee-finana-v-96-y-2024-i-pa-s1057521924005040/
- __[Portfolio Optimization in BIST Retail Sector](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econjournals.com%2Findex.php%2Fijefi%2Farticle%2Fdownload%2F16982%2F8253%3Bh%3Drepec%3Aeco%3Ajourn1%3A2024-06-3)__: The study uses Entropy CRITIC IDDWS and PROMETHEE methodologies to create an ideal stock portfolio from BIST Retail Trade Sector data, identifying six efficient frontier companies. (2024-12-12, shares: 14) · https://www.ml-quant.com/papers/repec/eco-journ1-2024-06-3/
- __[Asset Pricing Models in Borsa Istanbul](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJES-07-2023-0357%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajespps%3Ajes-07-2023-0357)__: A study on the Turkish Stock Exchange from 2009-2020 found that the Capital Asset Pricing Model (CAPM) best explains average excess weekly returns. (2024-12-12, shares: 14) · https://www.ml-quant.com/papers/repec/eme-jespps-jes-07-2023-0357/
- __[Solution Uniqueness in Portfolio Optimization](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS0219024924500195%3Bh%3Drepec%3Awsi%3Aijtafx%3Av%3A27%3Ay%3A2024%3Ai%3A05n06%3An%3As0219024924500195)__: Research on mean-deviation portfolio optimization indicates that unique Pareto-optimal profit sharing in cooperative investment and unique solutions in the Black–Litterman asset allocation model cannot be expected. (2024-12-12, shares: 13) · https://www.ml-quant.com/papers/repec/wsi-ijtafx-v-27-y-2024-i-05n06-n-s0219024924500195/
- __[Capital Flows and Global Factors in Emerging Economies](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs40953-024-00409-7%3Bh%3Drepec%3Aspr%3Ajqecon%3Av%3A22%3Ay%3A2024%3Ai%3A4%3Ad%3A10.1007_s40953-024-00409-7)__: A study on capital inflows and outflows in emerging markets found that a common global factor accounts for most variations, with regional differences. (2024-12-12, shares: 13) · https://www.ml-quant.com/papers/repec/spr-jqecon-v-22-y-2024-i-4-d-10-1007-s40953-024-00409-7/

### Statistical

- __[Equity Premium Forecasting](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2409278%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A10%3Ap%3A1445-1461)__: Machine learning methods, despite their strong forecasting abilities, often underperform in predicting the equity premium due to small datasets and low signal-to-noise ratios. (2024-12-12, shares: 28) · https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-10-p-1445-1461/
- __[Factors Influencing Bond Selling](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FS1571-038620240000034006%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aisetez%3As1571-038620240000034006)__: The sale of government retail bonds in the secondary market and the holding period are greatly influenced by their return performance compared to other investment options. (2024-12-12, shares: 21) · https://www.ml-quant.com/papers/repec/eme-isetez-s1571-038620240000034006/
- __[Green Finance in Economic Cycles](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0040162524005900%3Bh%3Drepec%3Aeee%3Atefoso%3Av%3A209%3Ay%3A2024%3Ai%3Ac%3As0040162524005900)__: The deep multi-layer perceptron (DMLP) and k-nearest neighbor (KNN) machine learning models can improve economic forecasting accuracy, especially when used with cross-validation and bootstrap bagging techniques. (2024-12-12, shares: 18) · https://www.ml-quant.com/papers/repec/eee-tefoso-v-209-y-2024-i-c-s0040162524005900/
- __[Systemic Risk in FinTech and Traditional Finance](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F1351847X.2024.2358940%3Bh%3Drepec%3Ataf%3Aeurjfi%3Av%3A30%3Ay%3A2024%3Ai%3A18%3Ap%3A2157-2190)__: The study uses machine learning to identify key factors affecting systemic risk in FinTech and traditional financial institutions, including market volatility, individual stock volatility, and market capitalization, especially under extreme market conditions. (2024-12-12, shares: 14) · https://www.ml-quant.com/papers/repec/taf-eurjfi-v-30-y-2024-i-18-p-2157-2190/
- __[Real Estate Stock Return Forecasting](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1365%2Fs41056-024-00070-4%3Bh%3Drepec%3Aspr%3Agjorer%3Av%3A10%3Ay%3A2024%3Ai%3A1%3Ad%3A10.1365_s41056-024-00070-4)__: A forecasting model reveals that German real estate stocks have high idiosyncratic risk and are more influenced by changes in the economy and stock market than the real estate market, with listed real estate having less downside risk than general stocks. (2024-12-12, shares: 13) · https://www.ml-quant.com/papers/repec/spr-gjorer-v-10-y-2024-i-1-d-10-1365-s41056-024-00070-4/
- __[Timing Volatility in Portfolio Allocations](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.scienpress.com%2FUpload%2FJAFB%252fVol%252014_6_5.pdf%3Bh%3Drepec%3Aspt%3Aapfiba%3Av%3A14%3Ay%3A2024%3Ai%3A6%3Af%3A14_6_5)__: The research indicates that dynamic strategies based on timing volatilities and correlations can enhance the economic gains of non-diversified portfolios involving only crude oil or gold, due to the predictability of their volatilities and correlations. (2024-12-12, shares: 12) · https://www.ml-quant.com/papers/repec/spt-apfiba-v-14-y-2024-i-6-f-14-6-5/

### Machine Learning

- __[Capped Volatility Swaps Pricing](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2305643%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A9%3Ap%3A1287-1300)__: The article discusses the use of machine learning in determining the prices of capped volatility swaps, using unique data for validation. (2024-12-12, shares: 32) · https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-9-p-1287-1300/
- __[Trading Strategies for Stablecoins](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10532-x%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A5%3Ad%3A10.1007_s10614-023-10532-x)__: The article suggests symmetric and asymmetric trading algorithms for stablecoin markets, using machine learning to determine optimal profit margins. (2024-12-12, shares: 31) · https://www.ml-quant.com/papers/repec/kap-compec-v-64-y-2024-i-5-d-10-1007-s10614-023-10532-x/
- __[Clustering in Financial Markets](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fanale.steconomiceuoradea.ro%2Fen%2Fwp-content%2Fuploads%2F2024%2F11%2FAUOES.July_.2024.33.pdf%3Bh%3Drepec%3Aora%3Ajournl%3Av%3A33%3Ay%3A2024%3Ai%3A1%3Ap%3A330-336)__: The article reviews the use of machine learning clustering techniques in financial markets and stock investing, discussing their potential and limitations. (2024-12-12, shares: 27) · https://www.ml-quant.com/papers/repec/ora-journl-v-33-y-2024-i-1-p-330-336/
- __[Forecasting with Rough Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs42521-024-00108-1%3Bh%3Drepec%3Aspr%3Adigfin%3Av%3A6%3Ay%3A2024%3Ai%3A4%3Ad%3A10.1007_s42521-024-00108-1)__: The article explores the use of LSTM and rough volatility in a volatility prediction framework, showing its effectiveness in predicting cryptocurrency volatility. (2024-12-12, shares: 27) · https://www.ml-quant.com/papers/repec/spr-digfin-v-6-y-2024-i-4-d-10-1007-s42521-024-00108-1/
- __[Objectionable Web Content Filtering System](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.rsisinternational.org%2Fjournals%2Fijrias%2Fdigital-library%2Fvolume-9-issue-11%2F51-60.pdf%3Bh%3Drepec%3Abjf%3Ajournl%3Av%3A9%3Ay%3A2024%3Ai%3A11%3Ap%3A51-60)__: The research is focused on developing a machine learning system to block inappropriate web content and alert parents when children encounter such content. (2024-12-12, shares: 24) · https://www.ml-quant.com/papers/repec/bjf-journl-v-9-y-2024-i-11-p-51-60/
- __[China's Business Cycle Forecasting](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-024-10549-w%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A5%3Ad%3A10.1007_s10614-024-10549-w)__: The article uses machine learning and macroeconomic indicators to predict China's business cycle, with Logistic Regression being the most effective. (2024-12-12, shares: 18) · https://www.ml-quant.com/papers/repec/kap-compec-v-64-y-2024-i-5-d-10-1007-s10614-024-10549-w/
- __[Stock Return Variation Across Countries](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1057521924005015%3Bh%3Drepec%3Aeee%3Afinana%3Av%3A96%3Ay%3A2024%3Ai%3Apa%3As1057521924005015)__: The study uses machine learning to forecast country equity returns based on market traits, identifying significant predictability and key predictors. (2024-12-12, shares: 15) · https://www.ml-quant.com/papers/repec/eee-finana-v-96-y-2024-i-pa-s1057521924005015/
- __[Financial Dollarization Effects in Turkey](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs11135-024-01911-z%3Bh%3Drepec%3Aspr%3Aqualqt%3Av%3A58%3Ay%3A2024%3Ai%3A6%3Ad%3A10.1007_s11135-024-01911-z)__: The research uses machine learning to analyze the effect of dollarization on Turkey's monetary policy, revealing a slight impact on economic growth and potential positive correlation with financial deepening. (2024-12-12, shares: 13) · https://www.ml-quant.com/papers/repec/spr-qualqt-v-58-y-2024-i-6-d-10-1007-s11135-024-01911-z/

### Historical Trending

- __[Impact of Innovation News on Illiquid Stocks](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FEJIM-07-2022-0387%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Aejimpp%3Aejim-07-2022-0387)__: A study using machine learning found that news about product innovation significantly impacts the returns of illiquid stocks, unlike other innovation-related news. (2023-10-04, shares: 5) · https://www.ml-quant.com/papers/repec/eme-ejimpp-ejim-07-2022-0387/
- __[Decision Tree vs. Logistic Regression](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fanale.steconomiceuoradea.ro%2Fen%2Fwp-content%2Fuploads%2F2024%2F03%2FVolume-2_AUOES_december-2023-70-78.pdf%3Bh%3Drepec%3Aora%3Ajournl%3Av%3A2%3Ay%3A2023%3Ai%3A2%3Ap%3A67-75)__: A comparison between decision tree and logistic regression models in analyzing loan data found that logistic regression is more effective in identifying defaulted loans. (2023-06-14, shares: 4) · https://www.ml-quant.com/papers/repec/ora-journl-v-2-y-2023-i-2-p-67-75/
- __[AI and ChatGPT Impact on Society](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.dbjournal.ro%2Farchive%2F34%2F34_5.pdf%3Bh%3Drepec%3Aaes%3Adbjour%3Av%3A14%3Ay%3A2023%3Ai%3A1%3Ap%3A61-75)__: A study on the impact of artificial intelligence on education and jobs, focusing on the chatbot ChatGPT, explores the attitudes of Romanian corporate employees towards AI's potential effects. (2023-02-09, shares: 0) · https://www.ml-quant.com/papers/repec/aes-dbjour-v-14-y-2023-i-1-p-61-75/

## Machine learning

### Recently Published

- __[Overview of RL](https://arxiv.org/abs/2412.05265)__: The manuscript offers a detailed review of deep reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, and model-based methods. (2024-12-06, shares: 1040) · https://www.ml-quant.com/papers/arxiv/2412.05265/
- __[FlashRNN](https://arxiv.org/abs/2412.07752)__: The article introduces FlashRNN, a hardware-optimized solution for faster RNN processing, essential for time-series tasks and logical reasoning. (2024-12-10, shares: 120) · https://www.ml-quant.com/papers/arxiv/2412.07752/
- __[Bridging Masked Generative Models](https://arxiv.org/abs/2412.06787)__: The study suggests using discrete-state models to connect Masked Generative and Non-autoregressive Diffusion models, and to redefine tasks like image segmentation as an unmasking process. (2024-12-09, shares: 89) · https://www.ml-quant.com/papers/arxiv/2412.06787/
- __[Enhancing Multimodal Models](https://arxiv.org/abs/2412.05271)__: The paper presents InternVL 2.5, a sophisticated multimodal large language model that performs well on various benchmarks, exceeding 70% on the MMMU benchmark. (2024-12-06, shares: 75) · https://www.ml-quant.com/papers/arxiv/2412.05271/
- __[Training LLMs](https://arxiv.org/abs/2412.06769)__: The article presents Coconut, a new approach that uses the last hidden state of large language models for reasoning in an unrestricted latent space, proving its effectiveness in enhancing the LLM on multiple reasoning tasks. (2024-12-09, shares: 73) · https://www.ml-quant.com/papers/arxiv/2412.06769/
- __[Efficient RL Fine-Tuning](https://arxiv.org/abs/2412.07762)__: The article introduces Warm-start RL (WSRL), a new reinforcement learning approach that doesn't require offline data, leading to quicker learning and better performance than previous algorithms. (2024-12-10, shares: 37) · https://www.ml-quant.com/papers/arxiv/2412.07762/
- __[Birth of Rose](https://arxiv.org/abs/2412.05278)__: The research presents a technique for creating temporal object intrinsics like a blooming rose from pre-existing 2D diffusion models, allowing for the depiction of dynamic objects from any angle and lighting. (2024-12-06, shares: 33) · https://www.ml-quant.com/papers/arxiv/2412.05278/
- __[Accurate Retrosynthesis Prediction](https://arxiv.org/abs/2412.05269)__: The paper suggests Chimera, a system for creating highly precise reaction models for chemical syntheses, which outperforms all major models by combining predictions from various sources using a learning-based ensembling strategy. (2024-12-06, shares: 20) · https://www.ml-quant.com/papers/arxiv/2412.05269/
- __[Urban View Benchmark](https://arxiv.org/abs/2412.05256)__: The study introduces the first Extrapolated Urban View Synthesis (EUVS) benchmark for assessing the performance of photorealistic simulators for self-driving vehicles, emphasizing the need for more robust methods and large-scale training. (2024-12-06, shares: 19) · https://www.ml-quant.com/papers/arxiv/2412.05256/
- __[Prescriptive Point Priors for Robot Policies](https://arxiv.org/abs/2412.06784)__: The article presents Prescriptive Point Priors for Policies (P3-PO), a new framework that creates a unique state representation of the environment to enhance out-of-distribution generalization for robot manipulation, showing significant improvement over previous methods. (2024-12-09, shares: 18) · https://www.ml-quant.com/papers/arxiv/2412.06784/

### Historical Trending

- __[Optimizing VLMs for Efficiency and Accuracy](http://dx.doi.org/10.48550/arxiv.2412.04468)__: The article introduces NVILA, a new family of Visual Language Models (VLMs) that balances efficiency and accuracy, reducing training costs and latency while maintaining or improving accuracy. (2024-12-05, shares: 271) · https://www.ml-quant.com/papers/arxiv/2412.04468/
- __[Evaluating LLMs with Capacity Density](https://arxiv.org/pdf/2412.04315)__: The article presents 'capacity density' as a new metric for evaluating Large Language Models (LLMs), showing that LLMs' capacity density doubles approximately every three months. (2024-12-05, shares: 116) · https://www.ml-quant.com/papers/arxiv/2412.04315/
- __[Fast Camera Parameter Estimation from Dynamic Videos](https://arxiv.org/abs/2412.04463)__: The article discusses a deep visual SLAM framework that enables accurate, quick, and robust estimation of camera parameters and depth maps from casual monocular videos. (2024-12-05, shares: 51) · https://www.ml-quant.com/papers/arxiv/2412.04463/
- __[Challenges and Solutions for Monocular Dynamic Gaussian Splatting](https://arxiv.org/abs/2412.04457)__: The article provides an organized benchmark and analysis of Gaussian-splatting-based methods for converting multi-view image data into scene representations, offering comparisons not previously available. (2024-12-05, shares: 28) · https://www.ml-quant.com/papers/arxiv/2412.04457/
- __[Constrained Explanations for Time Series Models](https://arxiv.org/abs/2402.12921)__: The article introduces Right on Time (RioT), a method that helps correct confounders in time series models by interacting with model explanations across both the time and frequency domain. (2024-02-20, shares: 26) · https://www.ml-quant.com/papers/arxiv/2402.12921/

## Papers with code

### Trending

- __[Large Physics Simulations for ML](https://github.com/polymathicai/the_well)__: Machine learning surrogate models are being utilized to enhance the efficiency of simulation-based workflows. (2024-12-07, shares: 397)
- __[Multi-Generator Framework for Text-to-SQL](https://github.com/XGenerationLab/XiYan-SQL)__: The ICL approach uses a selection method based on named entity recognition to prevent excessive focus on entities. (2024-12-06, shares: 142)

### Rising

- __[Maize Stemleaf Segmentation](https://github.com/syau-miao/seg4maize)__: The article explores the difficulties in automatically separating the stem and leaves of young maize plants using 3D imaging technology. (2024-12-07, shares: 89)
- __[Palmprint Recognition Competition](https://github.com/Faceplugin-ltd/Palm-Recognition)__: The article criticizes the conventional competition mechanism for only selecting the best from various channels, neglecting the spatial data of the features. (2024-12-07, shares: 65)
- __[emg2pose Hand Pose Benchmark](https://github.com/facebookresearch/emg2pose)__: The article highlights the crucial role of hands in human interaction with the environment. (2024-12-07, shares: 53)

## GitHub

### Finance

- __[Machine Learning Bot](https://github.com/yeonholee50/AmpyFin)__: The article explores how a trading bot utilizes machine learning to simultaneously conduct trades and improve its performance. (2024-09-25, shares: 82)
- __[Quantitative Finance](https://github.com/quantmind/quantflow)__: This piece discusses how quantitative finance plays a crucial role in determining the price of derivatives. (2014-01-08, shares: 13)
- __[Quantitative Strategies](https://github.com/SpencerPao/Quantitative_Strategies)__: The article provides a step-by-step guide on how to implement the Pairs Trading Algorithm in Quantitative Strategies. (2021-06-23, shares: 130)
- __[Metadata Platform](https://github.com/open-metadata/OpenMetadata)__: OpenMetadata is a platform that offers data discovery, observability, and governance, along with a central metadata repository and tools for team collaboration. (2021-08-01, shares: 5687)
- __[ML Datasets](https://github.com/huggingface/datasets)__: The article presents a vast hub of ready-to-use datasets for machine learning models, along with tools for efficient data manipulation. (2020-03-26, shares: 19348)

### Trending

- __[StackBlitz Bolt](https://github.com/stackblitz-labs/bolt.diy)__: The article provides a guide on editing and deploying fullstack web applications using Low-Level Machine (LLM). (2024-10-13, shares: 5582)
- __[Thammo4uva Python Wrapper](https://github.com/thammo4/uvatradier)__: The piece discusses a Python wrapper specifically designed for the Tradier brokerage API. (2023-07-24, shares: 19)
- __[Vrcarvavmdpy Mode Decomposition](https://github.com/vrcarva/vmdpy)__: The article details the process of implementing Variational Mode Decomposition (VMD) using Python. (2019-03-22, shares: 349)
- __[Superlinearairaglite RAGLite Toolkit](https://github.com/superlinear-ai/raglite)__: The article presents RAGLite, a Python toolkit for Retrieval-Augmented Generation (RAG) compatible with PostgreSQL or SQLite. (2024-06-10, shares: 416)
- __[Google ORTools Research Tools](https://github.com/google/or-tools)__: The piece gives a comprehensive overview of the Operations Research tools offered by Google. (2015-02-21, shares: 11354)

## News

### Quantitative

- __[Quant Capital Closing](https://www.hedgeweek.com/quant-seven-eight-capital-winding-down-following-investor-withdraws/)__: Seven Eight Capital, a quantitative hedge fund, is closing due to significant investor withdrawals. (2024-12-12, shares: 7)
- __[Dollar Optimism Growing](https://www.hedgeweek.com/dollar-optimism-on-the-up-among-hedge-funds-and-asset-managers/)__: Hedge funds and asset management firms are showing increased optimism in the US dollar due to a robust US economy and rising geopolitical tensions. (2024-12-10, shares: 7)
- __[Hedge Funds Return 10%](https://www.hedgeweek.com/hedge-funds-return-10-globally-in-2024-while-proving-diversification-worth-says-preqin/)__: According to a Preqin report, hedge funds have proven to be valuable in investor portfolios, providing double-digit returns and risk mitigation. (2024-12-11, shares: 6)
- __[Greenbrook Welcomes Partner](https://www.hedgeweek.com/greenbrook-appoints-new-partner/)__: Bree Taylor has been promoted to Partner at Greenbrook, a communications advisor to the investment industry. (2024-12-10, shares: 5)
- __[Hedge Funds Embrace New Software](https://www.hedgeweek.com/hedge-funds-open-to-deploying-new-software-to-gain-a-competitive-edge/)__: A study by Beacon Platform suggests that many hedge funds are considering changing software vendors to enhance efficiency in risk management processes. (2024-12-11, shares: 5)
- __[Bandhan MF files draft with Sebi](https://news.google.com/rss/articles/CBMitAFBVV95cUxOeHZjR2RsUWpscEw5WHpHWEEzVlU4QjFTNGxhTXdBbW5ObkFncWJUdUx0UENhbGNxck9CcHBPa1BOY3hOS3NEY0kybk5xWks4RVZEUktGQTJULWxOWjlTOFZJQ2RvVzZXSk1sWXh5cTBBOTJPOHFYZ25GWUxJcHlHcEF2UTVmX19iT2FaczhvME9Ib1Jmbkhwc3VzQWdfbGZvUW5YUUFNR2xCWUdtT2d1dGZPXzk?oc=5)__: Bandhan Mutual Fund is seeking approval from Sebi to launch a quant fund. (2024-12-07, shares: 4)
- __[Broadridge launches AI algorithm service](https://www.hedgeweek.com/broadridge-launches-ai-powered-algorithm-insights-service/)__: Broadridge Financial Solutions has launched an AI-based algorithm service for NYFIX to improve accuracy and cost-efficiency for hedge funds. (2024-12-11, shares: 4)
- __[Marshall Wace opens Abu Dhabi office](https://www.hedgeweek.com/marshall-wace-opens-abu-dhabi-office/)__: London-based hedge fund Marshall Wace has expanded its operations with a new office in Abu Dhabi. (2024-12-12, shares: 3)
- __[Quant trading firms and sports betting](https://www.efinancialcareers.com/news/quant-sports-betting-jobs)__: Susquehanna has a preference for certain quants, but experiences tension with other major firms. (2024-12-09, shares: 3)
- __[BoE flags hedge fund risk to UK gilt market](https://www.hedgeweek.com/bank-of-england-flags-hedge-fund-risk-to-uk-gilt-market/)__: The Bank of England has expressed concern over the growing influence of hedge funds in the UK government bond market and the potential financial risks they could pose. (2024-12-10, shares: 3)

### Miscellaneous

- __[Pan Capital Leadership](https://www.hedgeweek.com/pan-capital-appoints-president-and-chief-strategy-officer/)__: Edouard Robbes is now the President and Chief Strategy Officer at Pan Capital, an investment firm focused on energy markets. (2024-12-10, shares: 3)
- __[Quants Struggle](https://www.efinancialcareers.com/news/quants-promotions)__: The article explores the difficulties encountered by senior quant professionals. (2024-12-11, shares: 3)
- __[Barington vs. Matthews CEO](https://www.hedgeweek.com/barington-capital-pressures-matthews-ceo-in-proxy-fight/)__: Activist investor Barington Capital Group is advocating for a leadership overhaul at Matthews International Corp, including the CEO's replacement. (2024-12-12, shares: 2)
- __[ExBarclays Tech Head Trading](https://www.efinancialcareers.com/news/ex-barclays-equities-trading-tech-head-joins-electronic-trading-platform)__: There has been a recent resignation at the London Stock Exchange, as reported in the article. (2024-12-10, shares: 2)
- __[Point72 Hiring Graduates](https://www.efinancialcareers.com/news/point72-s-systematic-trading-arm-hiring-ph-d-grads-and-hft-quants)__: Pharmaceutical company Cubist is looking to broaden its operations. (2024-12-11, shares: 2)
- __[Hedge Funds Soar Post US Election](https://www.hedgeweek.com/hedge-funds-surged-in-november-on-us-election-result/)__: Hedge funds saw a major boost in November due to the US election results, with expectations of a more business-friendly government. (2024-12-10, shares: 2)
- __[Synergy Introduces Swaps Management](https://www.hedgeweek.com/synergy-launches-swaps-lifecycle-management/)__: Synergy launched a new Swaps Lifecycle Management service to enhance post-trade efficiency for various market participants including hedge funds. (2024-12-09, shares: 2)
- __[Billionaire Quant Embraces AI with NVIDIA](https://news.google.com/rss/articles/CBMioAFBVV95cUxQVlc0VmJKUGJiajFmVVpvRjd5SDhxLVR0Q2l1bXBIZ1RDc2xncmVIcFUzZlB1c0NrRmdqZW1pcE4xeFpDR2NzWEZMcGNiVXRzbUZSSDFuc0RrRWN3QnNyX0h3OFR0S1RWNmhrcXRhM3UxQWIwbDkwRTIwWlFfRi1LM1Y4Y0o4elhQd2ljdmFwRmI0cGtUcENPTEFYV1d1Nzdm?oc=5)__: Billionaire Quant is using NVIDIA Jomfruland's AI technology to make significant profits. (2024-12-07, shares: 2)
- __[Allocator's Hedge Fund Plans for 2025](https://www.hedgeweek.com/investor-interest-allocator-plans-for-hedge-funds-and-beyond-in-2025/)__: The article is an invitation to join a webinar. (2024-12-12, shares: 1)
- __[HFT Firm Hires C Legend](https://www.efinancialcareers.com/news/matt-godbolt-c-plus-plus-hudson-river-trading)__: The piece questions if Godbolt can make significant improvements at Hudson River Trading. (2024-12-06, shares: 1)

## Podcasts

### Quantitative

- __[Fabio Ruggeri: Market Strategies & Options](https://pdcn.co/e/www.buzzsprout.com/2034153/episodes/16256348-fabio-ruggeri-on-modern-market-strategies-options-trading-evolution-and-democratizing-data-analysis-tools.mp3)__: Market Strategies & Options: Fabio Ruggeri talks about the shift from traditional to technical market strategies, emphasizing the role of options and the tools offered by MenthorQ for retail traders. (2024-12-12, shares: 27)
- __[Matt Markiewicz & Paul Schatz: Leveraged ETF Tactics](https://pdcn.co/e/www.buzzsprout.com/2034153/episodes/16227004-matt-markiewicz-and-paul-schatz-on-leveraged-etf-tactics-market-downturn-strategies-and-benchmark-outperformance-challenges.mp3)__: Leveraged ETF Tactics: Matt Markiewicz and Paul Schatz discuss the complexities of leveraged ETFs, stressing the need for a strong strategy, risk management, and tactical asset allocation during market downturns. (2024-12-08, shares: 19)
- __[Jason Hsu: Smart Beta Strategies](https://pdcn.co/e/www.buzzsprout.com/2034153/episodes/16227000-jason-hsu-on-smart-beta-strategies-china-s-market-considerations-and-investment-opportunities-in-japan.mp3)__: Smart Beta Strategies: Jason Hsu explores the rise of index-based investing, the challenges of investing in China and Japan, and the potential benefits of investing in entrepreneurial ventures despite political and market risks. (2024-12-07, shares: 11)
- __[Porter Collins: Political Impact & Volatility](https://pdcn.co/e/www.buzzsprout.com/2034153/episodes/16262080-porter-collins-on-political-impact-strategies-market-volatility-insights-and-asymmetric-investment-opportunities.mp3)__: Political Impact & Volatility: Porter Collins discusses the unpredictable effects of political outcomes on investments, the impact of military and immigration policies, and the future of corporate tax strategies, drawing lessons from the 1970s inflation era. (2024-12-11, shares: 8)
- __[Michael Venuto: ETFs in 2024](https://traffic.megaphone.fm/TIFM7406948958.mp3?updated=1733433745)__: ETFs in 2024: Michael Venuto talks about the growth of the ETF industry, various investment strategies including crypto ETFs and the FIRE movement, and the potential of investing alongside Nancy Pelosi. (2024-12-06, shares: 7)

### Related

- __[Gold Outlook 2025](https://atanyrate.podbean.com/e/global-commodities-2025-outlook-bullish-on-gold-for-third-year-supply-constrained-base-metals-offer-better-value-than-oversupplied-oil/)__: The BCOM Index is predicted to remain steady in 2024 and 2025, with energy declines balanced by price rises in metals and agriculture, and a positive forecast for gold, silver, and platinum. (2024-12-06, shares: 6)
- __[Central Banks FX Focus](https://atanyrate.podbean.com/e/global-fx-central-banks-back-in-focus-for-fx-next-week/)__: The Global FX Strategy team explores the impact of future central bank decisions on foreign exchange and the USD's reaction to the US payrolls report. (2024-12-06, shares: 5)
- __[Elevate Returns Trend & Carry](https://resolve-gestalt-university.captivate.fm/episode/elevate-your-return-stacks-with-the-combined-power-of-trend-carry)__: Rodrigo Gordillo suggests that merging trend following and carry strategies can offer diversification and steady returns in a complicated market scenario. (2024-12-09, shares: 5)
- __Sports Fan Experience Investing__: The third part of a series on sports business dynamics explores the physical fan experience, funding of sports-entertainment complexes, and the LA Clippers' new venue, the Intuit Dome. (2024-12-06, shares: 4)
- __[Michael Belkin Stock Market Tops](https://pdcn.co/e/www.buzzsprout.com/2034153/episodes/16227003-michael-belkin-on-global-stock-market-tops-geopolitical-tensions-and-safe-haven-investment-strategies.mp3)__: Market analyst Michael Belkin examines the global stock market, potential turning points, the effect of tariffs, tax cuts, and fiscal stimuli on bond yields, and the potential of gold as a safe haven. (2024-12-06, shares: 4)

## X / Twitter

### Quantitative

- __[Research on Investing](https://twitter.com/quantseeker/status/1866498879278989389)__: The latest investment research explores topics like factor investing, FX hedging, alternative data, stock return predictability, and machine learning. (2024-12-10, shares: 8)
- __[Global Equity Hedging](https://twitter.com/quantseeker/status/1866785228410261595)__: A recent study suggests that global equity investors can enhance their FX hedging strategies by incorporating currency predictors like carry value and momentum. (2024-12-11, shares: 4)
- __[Position Sizing Trends](https://twitter.com/RichB118/status/1865165684164169938)__: The article explores various position sizing methods in trend-following, such as volatility targeting, volatility parity, and pyramiding. (2024-12-06, shares: 4)
- __[Deep Learning Volatility Models](https://twitter.com/carlcarrie/status/1865503686652260543)__: A new study merges deep learning with rough volatility models in the field of finance. (2024-12-07, shares: 3)
- __[Investment Archetypes in AI](https://twitter.com/carlcarrie/status/1866555403833847811)__: Investment firms a16z and Y Combinator are looking for investment opportunities in AI, FinTech, Digital Assets, and tech and vertical infrastructure. (2024-12-10, shares: 1)

### Miscellaneous

- __[Post-Earnings Drift: Republican vs Democratic Presidencies](https://twitter.com/quantseeker/status/1867188603253555461)__: Republican vs Democratic Presidencies: The study shows that investors tend to overestimate expected tax cuts during Republican presidencies, leading to a significant difference in postearnings announcement drift. (2024-12-12, shares: 0)
- __[Academic Research on Investing](https://twitter.com/quantseeker/status/1865842462620536980)__: The author shares the latest research and insights on investing through a weekly newsletter. (2024-12-08, shares: 0)
- __[Review of Momentum Strategies](https://twitter.com/quantseeker/status/1865842460175614090)__: The article suggests a thorough review by Tobias Wiest on momentum strategies in investing. (2024-12-08, shares: 0)
- __[Low-Volatility Effect in Stocks](https://twitter.com/quantseeker/status/1865117102396309625)__: The blog post investigates the low-volatility effect in stocks and how it can be combined with other strategies for better performance. (2024-12-06, shares: 0)
- __[Blogging Success: Two Months](https://twitter.com/investingidiocy/status/1865089797896773819)__: Two Months: The author expresses joy for consistently writing blog posts for two months straight. (2024-12-06, shares: 0)

## Reddit

### Quantitative

- __[Quants' Essential Books](https://www.reddit.com/r/quant/comments/1h900vi/what_are_nontechnical_books_that_every_quant/)__:  (2024-12-07, shares: 70)

### Rising

- __[Neural Networks in Finance](https://www.reddit.com/r/algotrading/comments/1h923w1/usefulness_of_neural_networks_for_financial_data/)__:  (2024-12-07, shares: 48)