July 2025, Week 2

Insider Models for Options

The article proposes a solution for optimal stopping problems in pricing perpetual American standard and lookback put and call options, using the Black-Merton-Scholes model and Brownian filtrations.

4 Jul 202512 sharesSource ↗

Overnight News Impact on Stocks

The study finds that most gains in the U.S. stock market over the past 30 years have been earned overnight, with intraday returns being negative or flat, largely due to intraday and overnight news.

6 Jul 202511 sharesSource ↗

Beating Rebalancing Portfolio

The paper introduces a new learning algorithm for online portfolio optimization that uses the serial dependence of assets' returns to outperform the best constant rebalancing portfolio in a stochastic market.

8 Jul 202510 sharesSource ↗

Dynamic Asset Pricing with α-MEU Model

The study investigates a dynamic asset pricing problem, showing that an agent's perceived ambiguity or ambiguity-aversion can lower the risk-free rate and increase the stock price.

5 Jul 20259 sharesSource ↗

High Frequency Quoting Liquidity Constraints

The study introduces a method for choosing reference instruments in electronic trading, using predictive models and a Composite Liquidity Factor, which aligns closely with market-optimal quoting choices.

8 Jul 20257 sharesSource ↗

FO Expiry Timing vs. First-Day SIPs

Research shows that Systematic Investment Plans in India's Nifty 50 index timed on Futures and Options expiry days perform better in the short to medium term than those on the first trading day of each month.

7 Jul 20255 sharesSource ↗

Portfolio Optimization with Quantum Stochastic Walks

A study suggests a quantum stochastic walk optimizer for financial markets, which increases the annualized Sharpe ratio by 15% and reduces turnover by 90% compared to traditional optimization.

5 Jul 20255 shares1 citation todaySource ↗

Trade Execution Reinforcement Learning

The paper presents a reinforcement learning framework for optimal trade execution, using multivariate logistic-normal distributions, which outperforms traditional benchmark strategies.

8 Jul 20253 shares4 citations todaySource ↗

Economic Policy Taxonomy Framework

The paper introduces a tree taxonomy framework for categorizing economic policies, aiming to provide a comprehensive list of actions for governing authorities to control an economy.

4 Jul 20253 sharesSource ↗

Systemic Resilience to Socioeconomic Challenges

A study found that a location disclosure policy on Sina Weibo, China's largest microblogging platform, decreased users' engagement on non-local issues and increased regional discrimination.

4 Jul 202562 shares1 citation todaySource ↗

User Location Disclosure on Chinese Social Media

The introduction of a location disclosure policy on Sina Weibo led to less engagement on non-local issues and more regional discrimination, indicating that authoritarian regimes can use social divisions to suppress opposition.

4 Jul 202562 shares1 citation todaySource ↗

Liquidity Flow Management with Navier-Stokes Model

A new mathematical model based on the Navier-Stokes equations accurately describes liquidity dynamics and systemic risk in economic systems, providing a strong framework for predicting crises and planning countercyclical policies.

5 Jul 202514 shares4 citations todaySource ↗

Behavioral Probability Weighting

The article discusses a framework that combines behavioral distortions with rational portfolio optimization, highlighting the importance of return asymmetry and belief distortions in managing portfolio risk and capital allocation in high-risk situations.

6 Jul 202511 sharesSource ↗

Social Media Network Effects

Research on social media users shows that 20-34% of a platform's value to users is due to local network effects, with the value of connections differing greatly across platforms, genders, races, and ages.

6 Jul 202510 sharesSource ↗

JobBased Economic Complexity Assessment

The research introduces a job-based measure of economic complexity that is linked to higher wage levels and labor productivity growth, unlike the traditional measure that focuses on economic outputs.

8 Jul 20258 sharesSource ↗

Portfolio Optimization

The skfolio, a new open-source Python library, has been launched for portfolio construction and risk management, allowing machine learning workflows for portfolio optimization.

5 Jul 202522 sharesSource ↗

Model Stability

The article highlights the significance of the population stability index (PSI) and the Kolmogorov-Smirnov statistic (KS) in maintaining model stability, stressing the need to account for scoring indicator errors in binary choice models.

7 Jul 20258 sharesSource ↗

Heterogeneous Participation

The article investigates the effects of varied participation in Economics and Computation (EconCS) community systems, encouraging the community to decrease participation disparity and create mechanisms that offer quality service to everyone.

4 Jul 20258 shares3 citations todaySource ↗

Strategic Alignment

A new visual mapping method has been introduced for evaluating strategic alignment in national artificial intelligence policies, identifying unique alignment archetypes across governance models and offering practical advice for policymakers.

7 Jul 20256 shares2 citations todaySource ↗

MBS as DAOs

The article presents a new Darwinian Agent-Based Modeling method for macroeconomic forecasting, which uses evolutionary principles and simple rules to create realistic economic patterns efficiently.

5 Jul 20258 sharesSource ↗

Exploring Feasibility of MBS-DAO

The article discusses a new Darwinian Agent-Based Modeling approach for macroeconomic forecasting, highlighting its ability to generate realistic economic patterns and maintain computational efficiency using evolutionary principles and simple rules.

5 Jul 20258 sharesSource ↗

Algorithmic Designs for MBS-DAOs

The article investigates the use of modern fintech tools such as asset tokenization, smart contracts, and decentralized autonomous organizations for structuring mortgage-backed security contracts, which could enable real-time ratings systems and enhance market efficiency.

7 Jul 20257 shares2 citations todaySource ↗

Recession Detection Algorithm

The article presents a new algorithm that uses unemployment and vacancy data to detect US recessions in real time, achieving a 71% accuracy rate for May 2025 data.

11 Jun 202531 shares3 citations todaySource ↗

AI Limitations in Coordination

The article argues that AI systems are incapable of performing key functions of economic coordination or creating norms, interpreting institutions, or taking responsibility, challenging the belief in AI's ability to maintain economic and epistemic order.

2 Jul 202521 shares2 citations todaySource ↗

Economic Design for CAP Trade-off

The article introduces a new framework that reinterprets the CAP theorem as a constraint optimization problem, showing that availability and consistency can be maintained simultaneously within certain limits through formal economic control.

3 Jul 202513 sharesSource ↗

Machine Learning for Option Prediction

The study uses machine learning to predict the exercise of American call options, outperforming traditional assumptions of options expiring out of money.

29 May 202561 sharesSource ↗

Volatility Forecasting Models Comparison

The paper finds that traditional volatility models forecast best when they match the data-generating process.

7 May 202542 sharesSource ↗

FMA Indicator for Dividend Analysis

The article introduces a technical analysis method that uses dividends to predict a share's lifetime maximum and minimum prices.

7 May 202535 sharesSource ↗

NonLinear Inflation Model

The paper presents a new inflation model that shows inflation reacts more to larger shocks due to nonlinear shock transmission.

7 May 202564 shares4 citations todaySource ↗

Operational Flexibility Impact on Firm Risk

The study establishes a link between operational flexibility and firms' equity risk-return characteristics, showing lower volatility and equity cost with more flexibility.

19 May 202532 sharesSource ↗

Quantum Machine Learning for Trading

The study investigates the use of quantum machine learning for optimizing high-frequency trading strategies in US treasuries and forex markets.

25 Dec 20243 sharesSource ↗

Fiscal Financing and Investment Reversibility

The research shows that deficit financing dividend taxation impacts macroeconomic asset pricing and public debt, affecting investment and debt-to-output fluctuations.

8 May 202532 sharesSource ↗

NLP Axioms in Tamil Dialects

The study examines the challenges and opportunities in using Machine Learning for processing Classical Tamil language and its dialects, with a focus on linguistic and cultural aspects.

7 May 202513 sharesSource ↗

Simulation Study for Port Flows

The research uses a simulation model and machine learning to analyze import container flows at the Port of New York-New Jersey, improving accuracy in commodity classification and container dwell times.

5 May 202527 sharesSource ↗

AI in Tourism: Kerala Study

Kerala Study: The study introduces the SMART AI-Driven Tourism Marketing Framework to boost tourist engagement in Kerala, emphasizing the role of AI and ML in transforming the global tourism market.

22 Apr 202514 sharesSource ↗

Racial Challenges of AI in Economics

The article claims that creating ethical and racially-just machine learning is currently unachievable due to reasons like racially biased training data and unclear algorithm design.

23 May 202516 sharesSource ↗

Resilient Supply Chain Design

The research proposes a framework for building supply chain resilience during large-scale disruptions, based on an analysis of successful global brands and their supply chains.

5 Jan 201842 sharesSource ↗

Stock Returns in Supply Chain Pressure

The study explores the effect of global supply chain pressures on U.S. stock market returns, providing insights for corporate managers on risk management and supply chain strategy.

7 May 202520 sharesSource ↗

Unified Econometrics Discipline

The article talks about the fast transformation and growth of econometrics, highlighting major advances in the analysis of cross-sectional data, policy analysis, and time series econometric techniques.

8 May 200623 sharesSource ↗

AI and Relationship Lending in Banking

The research studies the interaction between banks' use of AI in credit scoring and relationship lending, concluding that AI investments help lessen the countercyclical effects of relationship lending on firms' credit supply and decisions.

5 May 202533 shares3 citations todaySource ↗

Pharma Stock Options: Anomalies Explained

Anomalies Explained: Pharmaceutical stocks offer higher returns when writing options due to their high growth potential and unpredictable nature of drug trials.

7 May 2025431 sharesSource ↗

Innovating with Common Task Framework

The Common Task Framework can enhance innovation and honesty in research, and could be used in financial economics to assess asset pricing models.

7 May 2025246 sharesSource ↗

AI in Day Trading: Economic Indicators

Economic Indicators: A new intraday trading strategy for the USTEC CFD, using a language model to filter trading signals based on news sentiment, boosts profitability.

16 Jun 202563 sharesSource ↗

IRS Officials' Stock Trades: Tax Outcomes

Tax Outcomes: IRS officials' personal stock trades yield positive abnormal returns and are linked to future tax enforcement outcomes for the companies they invest in.

8 May 2025660 sharesSource ↗

FOMC Announcement Premia in Forex Markets

Currency risk premia fluctuate on U.S. FOMC announcement days, with currencies expecting a larger reduction in implied variance earning higher returns.

7 May 2025213 sharesSource ↗

Ambiguity Preference and Credit Returns

Ambiguity preference variables can forecast credit asset comovements, with lower-rated US credit assets being more affected by ambiguity aversion.

8 May 202544 sharesSource ↗

WPI Students' Personal Finance Knowledge

Despite a strong desire to learn about financial preparedness, college students lack financial literacy and understanding of investing and debt.

8 May 202543 sharesSource ↗

Geographic Shareholder Dispersion

Mutual funds in the Euroarea with a diverse geographic investor base have more fluctuating flows, but it doesn't impact overall performance.

5 May 202533 sharesSource ↗

Digital Asset Regulation

The U.S.'s solo approach to digital asset regulation could isolate its markets and weaken its monetary power, indicating a need for global collaboration.

7 May 202562 sharesSource ↗

Bond Agio Premium

Bonds issued in varying interest rate climates offer different coupons and market prices, with higher priced bonds suggesting a greater default loss.

7 May 202559 sharesSource ↗

Public Guaranteed Loans

During the pandemic, government-backed loans were more likely given to safer borrowers with liquidity constraints, who had fewer repayment issues.

5 May 202525 shares1 citation todaySource ↗

Tax Losses

Capital-loss carryforwards can be assessed using an option-pricing perspective, providing a market-based method for determining when these strategies are economically beneficial.

7 May 202567 sharesSource ↗

Returns to Scale

Fund managers can mitigate the adverse effects of competition on fund alpha by adjusting active management levels, particularly in response to competition from passive funds.

8 May 202529 sharesSource ↗

Unit Roots

A study of 43 macroeconomic variables across G7 economies over two centuries shows mean reversion in the U.S., but more persistent dynamics in Italy and Japan.

7 May 202537 sharesSource ↗

Inflation Risk

Companies with high fixed costs have negative exposure to inflation surprises, primarily due to variable costs, which are positively linked with inflation beta.

5 May 202535 sharesSource ↗

Automated Trading System for EM Portfolios

The rise of algorithmic trading and passive investing has caused issues during market downturns, but a new Automated Adaptive Trading System could help stabilize emerging markets during such times.

10 Jul 202527 sharesSource ↗

Efficient Volatile KSE-30 Equities Identification

Machine learning has been used to pinpoint assets causing downward trends in the Pakistan Stock Exchange, suggesting a portfolio optimization plan for efficient asset allocation.

10 Jul 202525 sharesSource ↗

Dynamic Correlations Risk Parity Portfolio Optimization

Using expected shortfall as the risk measure in risk parity portfolio optimization reduces sensitivity to volatility shocks, decreases portfolio turnover during market turmoil, and enhances risk-adjusted returns considering fat-tailed returns.

10 Jul 202516 sharesSource ↗

Adaptive Market Hypothesis & Sharpe Ratio Strategies

The research finds that trading strategies based on Sharpe Ratio consistently yield better results than the buy-and-hold strategy in global markets, supporting the Adaptive Market Hypothesis.

10 Jul 202515 sharesSource ↗

Novel Window Analysis for HFT

The study introduces a new method for assessing decision-making units' efficiency over time, using the Whale Optimization Algorithm to identify stable trading strategies and firms.

10 Jul 202511 sharesSource ↗

Monitoring Poverty in Data-Deprived Lebanon

The paper uses a new data augmentation technique to analyze poverty in the Middle East and North Africa, highlighting the significance of using alternative data sources for poverty analysis.

10 Jul 202510 sharesSource ↗

BRM for Predictions with Missing Patterns

The BRM method is introduced for analyzing incomplete data, improving speed and reducing data imputation by pretraining models over subsets of missing data.

10 Jul 202520 sharesSource ↗

New Momentum Strategy for Equity Premium Prediction

A new machine learning strategy, N-MDIS, is proposed for improving equity premium prediction, outperforming existing strategies.

10 Jul 202519 sharesSource ↗

Product Market Competition and Zero-Leverage

The research shows that firms are more likely to adopt zero-leverage policies as product market competition increases, especially those with higher earnings volatility.

10 Jul 202518 sharesSource ↗

News Sentiment Impact on Risk Management

The study reassesses the impact of news sentiment on stock return volatility, demonstrating that accurately measured news sentiment significantly influences intraday stock return volatility.

10 Jul 202516 sharesSource ↗

Stochastic ML for Estimating Production Technologies

A modified version of Stochastic Gradient Boosting is proposed for estimating production possibility sets in DEA, reducing overfitting and meeting shape constraints, proving competitive against existing methods.

10 Jul 202516 sharesSource ↗

Machine Learning for M&A

A study reveals that machine learning models are more efficient in predicting Chinese corporate merger and acquisition activities than traditional methods.

10 Jul 202528 sharesSource ↗

Tail Risk Management

New probabilistic deep learning frameworks have been proposed for better risk management in financial institutions, surpassing previous methods in backtesting.

10 Jul 202527 sharesSource ↗

Bond Market Volatility in China

Machine learning methods have been found to accurately predict Chinese stock market volatility using the volatility of long-term treasury bond contracts.

10 Jul 202524 sharesSource ↗

Lot Streaming and Scheduling

The article proposes a new algorithm and machine learning model for the Lot Streaming and Scheduling Problem (LSSP) with unpredictable product arrival times, aiming to increase efficiency and accuracy.

10 Jul 202516 sharesSource ↗

Dynamics in Chinese Markets

The paper introduces a new machine learning technique for decomposing and analyzing complex time series, providing a potential alternative to the Box-Jenkins method for financial modeling.

10 Jul 202513 sharesSource ↗

Monetary Policy Frictions

The study uses machine learning to create a monetary policy frictions index from financial news, finding that these frictions significantly impact the nonperforming loans of Chinese commercial banks.

10 Jul 202512 sharesSource ↗

Housing Market Connectedness

The research uses machine learning to study the global housing market, discovering that the US market is the main source of systematic shocks and its interest rate is a key factor in predicting spillover intensities.

10 Jul 202510 sharesSource ↗

Oil Price Forecasting: Machine Learning vs. Deep Learning

Machine Learning vs. Deep Learning: Deep learning methods have been found to be more effective than traditional machine learning in predicting oil prices, especially during crises.

10 Jul 202531 sharesSource ↗

Multifrequency Data Fusion Model for Carbon Price Prediction

The newly introduced MFF-CPPM model in China has shown higher accuracy and flexibility in predicting carbon trading prices compared to standard models.

10 Jul 202510 sharesSource ↗

Predicting VIX Trends

The study uses machine learning to predict the CBOE Volatility Index, highlighting weekly jobless claim data as a significant factor.

16 Nov 202423 sharesSource ↗

Stock Price Prediction

Traditional machine learning models outperform deep learning models in predicting Eurozone banking sector stock prices, according to the study.

20 Sep 202413 sharesSource ↗

AI Capability Impact

The research indicates that AI capability directly affects firm performance, with a data-driven culture and AI infrastructure playing key roles.

21 Apr 20245 sharesSource ↗

Climate Discussions

The study emphasizes the need for communication and a comprehensive approach to address climate change, using machine learning to analyze social media discussions on the subject.

21 Apr 20234 sharesSource ↗

Dark Patterns in Retail

The research investigates the use of dark patterns in retail investment, suggesting the use of behavioral sciences and AI for improved regulation and investor protection.

19 Oct 20242 sharesSource ↗

Understanding Young Informal Workers in the EU

The research profiles young informal workers in the EU27, aiming to understand how Covid-19 has impacted youth employment informality.

14 Jan 20242 sharesSource ↗

Intelligent Resource Management in Cloud Computing

The article discusses how artificial intelligence can improve resource management in cloud environments, boosting DevOps workflows' performance and efficiency.

11 Feb 20242 sharesSource ↗

EGovernance Initiatives and Citizen Participation

The review investigates the link between e-governance initiatives and citizen participation, emphasizing the need for interdisciplinary research for better understanding and evaluation.

18 Aug 20242 sharesSource ↗

Bank Performance Determinants

The paper analyzes literature on factors affecting banks' performance, proposing new research areas in digital transformation, artificial intelligence, and the impact of COVID-19.

21 Nov 20231 sharesSource ↗

Work Need Satisfaction Scale in Online Gig Work

The study tests the applicability of the Work Need Satisfaction Scale (WNSS) to online gig workers, suggesting modifications to the scale to better reflect the specifics of online platform work.

19 Dec 20241 sharesSource ↗

Intermediate Language Agent Guidance

QLASS is a new method for training language agents that improves performance and efficiency through step-by-step guidance, even with limited supervision.

4 Feb 2025188 shares19 citations todaySource ↗

Large Language Models Reliability

Researchers suggest using platinum benchmarks, which are designed to reduce label errors, to more accurately assess the reliability of large language models.

5 Feb 202555 shares54 citations todaySource ↗

Effective Tokenizers for Diffusion Models

The MAETok autoencoder enhances image synthesis by learning a semantically rich latent space, achieving top performance on ImageNet generation with only 128 tokens.

5 Feb 202538 shares94 citations todaySource ↗

Efficient Monocular Video Representation

NutWorld is a new framework that converts monocular videos into dynamic 3D Gaussian representations in one go, allowing for high-quality video reconstruction and real-time applications.

5 Feb 202529 shares8 citations todaySource ↗

Conformal Prediction Decision Theory

The Risk-Averse Calibration (RAC) algorithm improves decision-making by considering prediction uncertainty, striking a balance between safety and utility in risk-sensitive areas like medicine.

4 Feb 202520 shares46 citations todaySource ↗

ToddlerBot: ML Humanoid Platform

ML Humanoid Platform: ToddlerBot is an affordable, open-source robot designed for AI research, featuring a user-friendly interface and a digital twin for easy data collection and policy implementation.

2 Feb 202519 shares21 citations todaySource ↗

NNetNav: Browser Agent Learning

Browser Agent Learning: NNetNav is an unsupervised method that creates synthetic demonstrations for training browser agents, making website interaction more manageable by using language instruction hierarchy.

3 Oct 202415 shares57 citations todaySource ↗

LoRAX: Cross-Model Adaptation

Cross-Model Adaptation: LoRA-X is a new adapter that enables the transfer of LoRA parameters between models without the need for original or synthetic training data.

27 Jan 202513 shares11 citations todaySource ↗

Particle Trajectory Learning

PoLAr-MAE is a self-supervised learning method that efficiently analyzes Liquid Argon Time Projection Chambers images by learning trajectory representations directly from data.

4 Feb 202513 shares9 citations todaySource ↗

Learning RoPEs: Position Encodings with STRING

Position Encodings with STRING: STRING is a position encoding method that provides exact translation invariance and low computational footprint, useful in robotics for efficient 3D token representation.

4 Feb 202513 shares20 citations todaySource ↗

Data Testing Library

The article introduces a new library for efficient and flexible statistical data testing.

1 Nov 20183,895 shares

Backtest to Live Trading

The article outlines the fastest way to move from backtesting to live trading.

8 Jun 202537 shares

Fundamental Factor Models Code

The article shares the source code for Deep Fundamental Factor Models.

15 Jul 202064 shares

Deep Learning Paper Implementations

The article provides 60 deep learning paper implementations and tutorials with accompanying notes.

25 Aug 202061,624 shares

Time Series Trend Labeling

The article explores an unofficial implementation of a trend labeling method for financial time series prediction.

28 Feb 202244 shares

GitHub Extractor

The article provides a method to simplify a codebase on GitHub by replacing 'hub' with 'ingest' in the URL.

29 Nov 202410,798 shares

Realtime Monitor

The article discusses a system for tracking Claude Code usage with predictive analytics and warning alerts.

19 Jun 20252,359 shares

Python Polygon Client

The article announces the availability of the official Python client library for the Polygon REST and WebSocket API.

21 Oct 20191,053 shares

Self-Hosted Rom Manager

The article reviews a self-hosted ROM manager and player that is aesthetically pleasing and highly functional.

8 Mar 20235,408 shares

Open Next.js Cloudflare

The article introduces Open Next, a new software or platform.

12 Sep 20241,091 shares

Peregrine Capital Hires Specialist

Teaghan Price has been hired by Peregrine Capital South Africa to enhance adviser relationships in KwaZuluNatal.

8 Jul 20255 shares

Shiprock Capital's Senior Counsel

Eric Ho has been appointed as the new Senior Investment Counsel at London's Shiprock Capital Management.

4 Jul 20255 shares

Arkea's Nobile Focuses on Hedge Fund Strategies

Olivier Nobile from Arkea Asset Management recommends active equity managers adopt hedge fund strategies to remain competitive amid a shift towards low-cost passive investments.

9 Jul 20254 shares

Highconviction Hedge Fund Marketing with Mazi

Mazi Asset Management is working to expand its successful NCIS Qualified Long Short Hedge Fund in South Africa.

7 Jul 20254 shares

TCI Surpasses Markets at 21% YTD

The Children’s Investment Fund, led by Chris Hohn, has seen a 21% return this year, surpassing the S&P 500.

7 Jul 20253 shares

Lone Pine, D1 Capital Lead Tiger Cubs

Steve Mandel’s Lone Pine Capital, a Tiger Cub hedge fund, has outperformed several multistrategy giants in the first half of the year.

7 Jul 20253 shares

Parataxis Launches Korea's First BTC Treasury Platform

Parataxis, a US-based company, is launching South Korea's first bitcoin treasury platform through its new entity, Parataxis Korea.

7 Jul 20253 shares

Quant Basics

The article gives key insights into the concept of quantitative investing.

7 Jul 20253 shares

Kind Firm Pays 500k

The article explores the alleged decline of a once top-rated finance company.

7 Jul 20252 shares

Citadel Securities on C 26

The article highlights the major issues that banks are currently struggling with.

7 Jul 20251 shares

Activists Alert

The article predicts a rise in activist hedge funds' public campaigns due to a boost in global M&A activity in late 2025.

9 Jul 20251 shares

JPMorgan's Quantum Computing Mystery

The article explores the complex concept of something being both present and absent at the same time.

7 Jul 20250 shares

Jane Street Hires Muppets

The article covers the incident of Alex Gerko blocking the author or a certain organization.

8 Jul 20250 shares

Secret Service Agent at Bank of America

The article tells the story of a person's career transition from being a spy to becoming a Senior Vice President.

9 Jul 20250 shares

JPMorgan's AI Team Salaries Hit 325k

The article emphasizes on JPMorgan's growing use of artificial intelligence in its business operations.

4 Jul 20250 shares

Dan Rasmussen & D.A. on Biotech

In a podcast, Dan Rasmussen and D.A. Wallach discuss the influence of AI on healthcare, the current state of biotech, and the transformative power of innovative treatments.

4 Jul 202511 shares

Midyear Global Outlook

A podcast episode provides a midyear global outlook, discussing tariff-related volatility, policy uncertainty, and the future of private market assets.

4 Jul 202510 shares

International Student Networking

Zimbabwean master’s student Edson Bope shares his experiences and challenges in the U.S. job market for quantitative finance roles in a podcast episode.

5 Jul 20259 shares

Techs Dumbest Mistake

A podcast episode explores the potential repercussions of replacing programmers with AI, based on a viral article warning against such a move.

7 Jul 20258 shares

Quant Community

The eighth season of Talking Tuesdays with Fancy Quant will feature guest speakers from the quantitative finance community discussing various topics and sharing their life stories.

8 Jul 20257 shares

International Alpha Opportunities

Emerging markets like Taiwan, South Korea, and China are becoming attractive investment destinations, especially in the tech sector.

6 Jul 20256 shares

Navigating Market Uncertainty

Seth Cogswell believes the current investment climate resembles the 2000 bubble, and suggests mid-cap companies as stable investment opportunities with growth potential.

6 Jul 20255 shares

Spotting Patterns in Earnings Season

Dmitry Pargamanik advises traders to use historical options data to predict and manage volatility during earnings announcements.

9 Jul 20254 shares

Alternative Investments

Henry Yoshida's Rocket Dollar platform enables investors to diversify their retirement accounts with alternative investments like private equity, real estate, and cryptocurrency.

7 Jul 20253 shares

The Benefits of Diversification

Riddler Road Rally is a citywide car-based scavenger hunt happening in eleven cities across Utah and Idaho, providing a unique and entertaining experience.

5 Jul 20252 shares

AQR leads Managed Futures Funds YTD

AQR maintains its top position in managed futures funds for the year, with LoCorr coming in second.

8 Jul 20251 shares

Investing Research Roundup: Commodity Returns, Crypto Microstructure, Mispriced Stocks, Factor Momentum, and More

Commodity Returns, Crypto Microstructure, Mispriced Stocks, Factor Momentum, and More: Article 2: Recent investment research explores topics including forecasting commodity returns, crypto market microstructure, spotting mispriced stocks, and factor momentum.

8 Jul 20250 shares

Skfolio Update

The article explores a new paper about the skfolio library.

8 Jul 20250 shares

Nagel Challenges Prediction Complexity

The article examines Nagel's new paper that questions the efficiency of intricate models in predicting returns, suggesting they are essentially volatility-timed momentum.

5 Jul 20250 shares

Machine Learning in MQL5

5 Jul 20255 shares

Education Career Tips

7 Jul 20255 shares