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Quant LetterNo. 81

January 2025, Week 2

189 items across 10 sections, as sent to readers on 8 January 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

Items
189
Papers
115
Sections
10
Issue
No. 81
View as MarkdownOpen in ClaudeOpen in ChatGPTOpen in PerplexitySite index for AI (llms.txt)

arXiv

Quantitative-finance and ML-for-finance preprints from arXiv.

21 items

Finance8

01

Market Making with Traders

A new method using natural language processing (NLP) has been suggested for classifying AI stocks, providing a cost-effective alternative that outperforms existing AI-themed ETFs.

20 shares17 citations todaySource ↗

02

Synthetic Data for Portfolios

A study introduces a new way to classify AI stocks using NLP, offering a more transparent and competitive approach to AI investment that matches or exceeds current AI-themed ETFs.

20 shares17 citations todaySource ↗

03

Quantifying AI Engagement

A study explores solutions to an optimal liquidity provision problem in a market with different types of traders, aiming to extract market trend information from anonymous orders.

7 shares6 citations todaySource ↗

04

Quantifying AI Engagement

The paper highlights the shortcomings of generative models in finance, suggesting a method for generating multivariate returns that meets standard evaluations and aligns with observed asset returns.

6 shares10 citations todaySource ↗

05

Limitations of Generative Models

The article explores the shortcomings of generative models in finance, specifically in portfolio and risk management, and suggests a method for generating multivariate returns that aligns with standard evaluations.

6 shares10 citations todaySource ↗

06

Multi-Hypothesis Prediction

The paper introduces a framework for portfolio allocation that uses multiple hypotheses prediction through structured ensemble models, allowing for control of portfolio diversification before decision-making.

6 shares2 citations todaySource ↗

07

HighFrequency Lead-Lag Relationships

The research examines the relationships between different maturity stock index futures contracts in China's financial futures market, uncovering a regular pattern of price discovery and a profitable trading strategy based on this pattern.

5 shares1 citation todaySource ↗

08

Consistent Optimal Portfolio Choice

The study shows that in a simple, arbitrage-free market, a unique prediction of random risk aversion exists that ensures consistency of optimal strategies over any time period for a certain type of state-dependent exponential utilities.

5 shares1 citation todaySource ↗

Economics8

01

China's License Plate Policy

A Chinese study suggests that technology advancements and random resource allocation can reduce income inequality, based on data from vehicle license plates.

8 sharesSource ↗

02

Economics Dissertation Advisors

A study on economics PhD programs found that active research advisors help students publish more, but don't necessarily increase their success, and female productivity peaks earlier than male.

8 shares5 citations todaySource ↗

03

Capital Share Impact

Research across 56 countries shows that a slight increase in capital share significantly raises the income share of the top 5%, contributing to half of the rise in income inequality.

8 shares1 citation todaySource ↗

04

Capital Share Trends

The same research reiterated that a minor increase in capital share significantly boosts the income share of the top 5%, accounting for half of the increase in income inequality.

8 shares1 citation todaySource ↗

07

Vulnerabilities in EU Automotive Industry

The paper reveals that the EU27 automotive sector is increasingly dependent on non-EU suppliers, especially China, and competitiveness is shifting towards Eastern European countries.

6 shares2 citations todaySource ↗

08

Strategic Investment for Transition Risks

The study highlights the need for strategic investments and government interventions to manage transition risks in sectors affected by the shift to a low-carbon economy.

6 shares2 citations todaySource ↗

Miscellaneous1

01

Verify Lévy-Driven Processes

The article discusses a method to validate the assumptions of a Lévy-Driven Ornstein-Uhlenbeck process using real data. It includes steps to estimate model parameters and approximate the driving process, with the effectiveness of the method shown through simulation.

5 sharesSource ↗

Historical Trending4

01

Karma Experiment

Research shows that a karma-based credit system has significant benefits, especially in high-urgency situations, offering insights for future practical applications.

25 shares4 citations todaySource ↗

02

AI Finance

A study finds that Large Language Models (LLMs) can address US personal finance issues with 70% accuracy, but struggle with complex financial queries.

15 shares17 citations todaySource ↗

03

Multi-Agent Trading

A new stock trading framework, TradingAgents, uses LLM-powered agents to potentially enhance trading performance by mimicking real-world trading firm dynamics.

13 shares220 citations todaySource ↗

04

Nonparametric Labor Analysis

Research on Japan's labor market shows a decreasing trend in job matching efficiency for both full and part-time positions, with occupational mismatches being more prevalent than geographical ones.

11 sharesSource ↗

SSRN

Working papers in finance and economics from SSRN.

54 items

Quantitative30

01

Predictive Sharpe Ratios

The study finds that trading strategies based on linear predictive models perform poorly due to overfitting when they involve many assets and weak trading signals.

14 sharesSource ↗

02

Private Equity Analysis

The paper discusses the evolution of private equity, its performance during downturns, the role of uninvested capital (dry powder), and the challenges of regulation and transparency.

5 sharesSource ↗

03

RoboAdvising Education

The study reveals that financial literacy, particularly understanding of beta and alpha, leads to better investment choices and improved returns in a robo-advising setup.

3 sharesSource ↗

04

Fake Review Detection

The article highlights the role of online reviews in customer decision-making, the potential for supplier abuse, and the use of machine learning to identify genuine reviews.

4 shares2 citations todaySource ↗

05

Election Arbitrage

The study shows that prediction markets can help understand the relationship between financial markets and political candidates, with systematic portfolios outperforming the benchmark during election cycles.

6 sharesSource ↗

06

Adaptive Portfolio Optimization

The research introduces a multidimensional investment model that adapts to new information and is robust to parameter misspecification, using a continuous-time estimator for drift parameters.

6 sharesSource ↗

07

Trading Pauses Quality

The article finds that the Limit Up/Limit Down Amendment has reduced unnecessary trading pauses and improved liquidity for individual stocks, but has also increased short-term volatility.

2 sharesSource ↗

08

Computer Vision Antenna System for 5G

The article suggests a computer vision-based antenna system that enhances the precision and reliability of 5G communication systems by adjusting the base station antenna's radiation pattern and beam direction.

4 sharesSource ↗

14

AI and ML in Banking & Finance

The manuscript discusses the potential of AI and ML in finance and regulatory compliance, but also points out challenges related to data privacy, algorithmic bias, and model explainability.

3 shares5 citations todaySource ↗

15

DualChannel Wafer Defect Segmentation Algorithm

The paper suggests a density-adaptive threshold data augmentation algorithm to enhance defect pattern recognition in semiconductor wafer maps, based on a detailed analysis of defect distribution characteristics.

3 sharesSource ↗

20

AGENTS: Historical Perspective 1948-2024

Historical Perspective 1948-2024: The paper suggests that integrating Agent-Based Models, Reinforcement Learning agents, and Large Language Model agents can solve complex real-world problems.

77 sharesSource ↗

23

China's Industrial Policies

Large Language Models are utilized to study China's industrial policies from 2000-2022, using data from 3 million government documents.

31 shares15 citations todaySource ↗

24

Bitcoin Price Dynamics

A model explores the dynamics of Bitcoin's market price, focusing on intrinsic value and speculative behavior, backed by empirical analysis.

15 sharesSource ↗

25

Mutual Fund Alpha and FOMC

The ability of mutual fund managers to generate positive alpha around Federal Open Market Committee meetings is tied to monetary policy uncertainty.

6 sharesSource ↗

28

Stability of Deep Learning

The stability of deep neural nets is examined from a weak dependence perspective, suggesting a new loss function for improved stability.

4 sharesSource ↗

30

Optimizing Predictive Analytics

The combination of PySpark and machine learning on the Databricks platform can boost predictive analytics, streamline model training, and enhance prediction accuracy.

2 sharesSource ↗

Financial24

01

Geometric Data Analysis

The article introduces GeomTop, a neural architecture that combines geometric convolutions with persistence-based features for data analysis in molecular dynamics and materials science.

31 sharesSource ↗

02

NonMarkovian Formula

The article extends the FeynmanKac formula to nonMarkovian settings, providing a mathematical framework for complex memory effects in stochastic processes and financial derivatives pricing.

24 sharesSource ↗

03

QLearning and HJB

The article explores the relationship between Q-learning and the HamiltonJacobiBellman equation, discussing the conditions needed for the existence, uniqueness, and stability of viscosity solutions and Q-learning's convergence.

15 sharesSource ↗

04

Stock Market Rebalancing

The article suggests that annual rebalancing of index funds could improve returns by 40 bps per year, due to adverse selection costs from changes in the stock market composition.

3 sharesSource ↗

05

Co-Movement Analysis

A study shows a positive link between bond and equity returns, with less stakeholder conflict leading to more comovement, emphasizing the need for good corporate governance and regulations.

3 sharesSource ↗

06

Valuing Royalty Assets

The valuation of music royalty assets is based on predicting future revenues and creating a discounted cashflow model, with the asset's value related to the age of its songs.

5 sharesSource ↗

07

Risks of Holding Bitcoin

Cryptocurrencies, due to their high volatility and regulatory uncertainty, are not suitable as main treasury reserves, highlighting the importance of traditional instruments like Treasury securities.

2 sharesSource ↗

08

Market Makers Liquidity

Liquidity provision strategies can be more profitable than holding assets, as pricing functions can be designed to maximize the expected time a liquidity provider stays in the pool.

2 sharesSource ↗

09

US. Technology with Web3

Web3 technologies could solve issues in the U.S. tech sector, such as data security and Big Tech monopolies, by promoting a decentralized digital ecosystem that prioritizes data ownership and security.

2 sharesSource ↗

10

ETFs for Discipline

Active exchange-traded funds (AETFs) help investors weed out underperforming managers, leading to better sector efficiency and performance than mutual and passive funds.

9 sharesSource ↗

11

Limited Risk Transfer

The risk transfer among U.S. investors is minimal, challenging macrofinance models that forecast larger risk transfers due to fluctuating equity premiums.

5 sharesSource ↗

12

Climate Betas

Asset returns are vulnerable to climate risk; adding commodities to a portfolio can enhance diversification during climate stress but may also increase tracking error and lower risk-adjusted performance.

2 sharesSource ↗

13

Creditworthiness in Portfolios

A dynamic portfolio optimization framework that includes individual financial health metrics can effectively balance risk and return, customizing asset allocation to individual profiles.

2 sharesSource ↗

14

Bitcoin Volatility

Bitcoin's volatility shows significant clustering, especially in shorter time frames, enabling statistically significant predictions of market movements.

2 sharesSource ↗

15

Asset Price Equilibrium

A general equilibrium model that takes into account investors' actual objectives provides a more realistic perspective of asset pricing, with Brazil's innovative retirement and education bonds serving as examples.

3 sharesSource ↗

16

Monetary Policy and Hedging

Monetary policy affects hedging costs by altering state variables and impacting option market liquidity, with significant changes in hedging costs seen during the peak of the pandemic crisis.

2 sharesSource ↗

17

DeepFake Trading Signals Impact

AI-powered deepfake technology threatens financial markets by manipulating market sentiment, disrupting trading systems, and exploiting retail investors.

2 sharesSource ↗

18

Sustainable US Antitrust Policy

BlackRock, State Street Corporation, and Vanguard Group are being sued by eleven US State Attorneys General for allegedly forcing a reduction in coal production.

21 shares1 citation todaySource ↗

23

Quantile Volatility in China

Understanding volatility connectedness among theme factors and sector indices in the Chinese stock market is key for effective investment strategies and risk management.

3 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

24 items

Finance5

04

Selecting Factors in Time Series

The research proposes a new criterion for determining the number of factors in static approximate factor models, demonstrating its effectiveness through a Monte Carlo study.

6 sharesSource ↗

Statistical7

01

AI in Global Higher Ed

Research shows China, the US, and England are leading in AI education research, with future trends including AI-VR integration, sentiment analysis, and predictive student performance models.

4 sharesSource ↗

02

Multi-view LGD Forecast

A new finance forecasting method, multi-view locally weighted regression (MVLWR), which combines multi-view and ensemble learning, has been found to outperform other methods in predicting loss given default.

1 sharesSource ↗

03

Enflasyon Öngörüsü Türkiye'de

A study found that XGBoost performs better in predicting inflation during economic crises in Turkey with large datasets, while the ARMA model performs better with smaller datasets.

1 sharesSource ↗

05

Consumer Segmentation with Language Models

The research shows that Large Language Models can improve clustering accuracy in marketing research for consumer segmentation and can be used to develop persona chatbots that mimic consumer preferences.

1 sharesSource ↗

06

Gender Accuracy in Translation

The study compares the gender accuracy in English-Arabic machine translation of two large language models, Gemini and ChatGPT, with Gemini performing better in handling gender-related translation issues.

0 sharesSource ↗

07

Chatbots for Verifying Information

The article finds that ChatGPT, a large language model-based chatbot, is more effective than Bing Chat in detecting the truthfulness of political information across various languages and political communication concepts.

0 sharesSource ↗

Machine Learning2

Historical Trending10

06

Exchange Rate Volatility Forecasting

The research finds that combining different methods and wavelet analysis can effectively predict exchange rate volatility using financial and macroeconomic factors.

19 sharesSource ↗

07

Wealth and Sin Stocks Investment

The study reveals a link between the wealth of European countries and their investment in sin stocks, with richer Northern European countries having higher risk-adjusted returns.

16 sharesSource ↗

Machine learning

The general machine-learning papers the letter carried in 2023-25.

16 items

Recently Published10

01

MeCo Language Model Pre-training

The MeCo method speeds up language model pre-training by using additional learning cues, allowing the model to work without metadata and enhancing task performance.

114 shares22 citations todaySource ↗

02

VITA1.5: Vision and Speech Interaction

Vision and Speech Interaction: A proposed training methodology enables Large Language Models to comprehend visual and speech data, improving speech-to-speech dialogue capabilities and response speed.

52 shares230 citations todaySource ↗

04

ProTracker: Point Tracking

Point Tracking: ProTracker, a new video tracking framework, combines optical flow estimations and semantic features, outperforming other unsupervised and self-supervised methods.

36 shares4 citations todaySource ↗

05

VideoLifter: 3D Reconstruction from Videos

3D Reconstruction from Videos: VideoLifter, a new framework, optimizes 3D representation from video sequences, speeding up the reconstruction process and surpassing other methods in visual fidelity and efficiency.

33 shares10 citations todaySource ↗

06

Enhancing Visual Localization

The study presents a new visual localization method using a covisibility graph-based global encoding learning and data augmentation strategy, achieving top results on large-scale datasets without needing network ensembles or 3D supervision.

24 shares28 citations todaySource ↗

07

Detecting AI-Generated Text

The research introduces tools for detecting AI-generated content in student work using machine learning and deep learning algorithms, aiming to uphold academic integrity and responsible AI use in education.

14 shares16 citations todaySource ↗

08

Optimizing Latent Diffusion

The paper proposes a new model, VA-VAE, that aligns the latent space with pre-trained vision foundation models, enabling faster convergence of Diffusion Transformers in high-dimensional latent spaces and achieving top performance on ImageNet 256x256 generation.

14 shares395 citations todaySource ↗

09

Improving Mathematical Reasoning

The article introduces BoostStep, a method that enhances the reasoning quality within each step of large language models solving complex math problems, providing more relevant examples and integrating seamlessly with Monte Carlo Tree Search methods.

13 shares19 citations todaySource ↗

10

Nested Attention for Personalization

The study presents Nested Attention, a mechanism that injects a rich and expressive image representation into the model's existing cross-attention layers, enabling high identity preservation while adhering to input text prompts in personalizing text-to-image models.

12 shares24 citations todaySource ↗

Historical Trending6

01

MEDEC Benchmark

The article discusses MEDEC, a benchmark for identifying and fixing medical errors in clinical notes, and reveals that while Large Language Models (LLMs) are effective, they are still not as accurate as medical doctors.

560 shares140 citations todaySource ↗

02

Accurate RNA Prediction

The paper introduces RhoFold+, a deep learning method that accurately predicts 3D structures of single-chain RNAs from sequences, surpassing existing methods and aiding in RNA structure and function research.

86 shares245 citations todaySource ↗

03

Neural Network Symmetrisation

The research introduces a flexible framework for symmetrising neural networks using group homomorphism, showcasing the usefulness of Markov categories in tackling complex machine learning problems.

55 shares7 citations todaySource ↗

04

Stable-V2A: Sound Effects Tool

Sound Effects Tool: Stable-V2A is a two-stage model that automates repetitive tasks in audio creation for video scenes, aiding sound designers in focusing on creative aspects.

44 shares5 citations todaySource ↗

05

Constrained Sampling with PD-LMC

The study presents a PD-LMC algorithm that samples from a probability distribution while meeting statistical constraints, useful in Bayesian inference and prediction fairness.

35 shares15 citations todaySource ↗

06

EdgeRAG: Online RAG

Online RAG: EdgeRAG is a system proposed for deploying Retrieval Augmented Generation on devices with limited resources, reducing latency and memory usage by pruning and generating embeddings as needed.

23 shares27 citations todaySource ↗

Papers with code

Papers that shipped their code, from the Papers with Code feed (2023-25).

11 items

Trending5

01

Engaging Learning with Language Models

Language model chatbots and generative search engines excel at answering specific queries but struggle to uncover unknown information.

15,769 shares

02

TorchTitan: LLM Pretraining with PyTorch

LLM Pretraining with PyTorch: Significant accelerations were achieved at various GPU scales by stacking training optimizations, proving the effectiveness of parallelism.

2,920 shares

03

VITAMLLM: Interaction with Language Models

Interaction with Language Models: Recent Multimodal Large Language Models have mainly focused on integrating visual and text modalities, overlooking the importance of speech in enhancing interaction.

1,452 shares

04

LatentSync: Diffusion Models for Lip Sync

Diffusion Models for Lip Sync: The experience with SyncNet can be applied to other lip sync and audio-driven portrait animation methods without altering the overall training framework.

201 shares

05

Memory Layers: Parallelizable Implementation

Parallelizable Implementation: A fully parallelizable memory layer implementation is offered, demonstrating scaling laws with up to 128B memory parameters, pre-trained to 1 trillion tokens.

172 shares

Rising6

01

Next Token Prediction Survey

Recent studies show that Large Language Models (LLMs) can efficiently process tasks from various modalities by converting multimodal information into tokens to predict the next one based on context.

164 shares

02

TangoFlux Text to Audio Generation

TangoFlux, a Text-to-Audio generative model with 515M parameters, can produce up to 30 seconds of 44.1kHz audio in just 3.7 seconds using a single A40 GPU.

117 shares

03

MMLUCF Multitask Language Benchmark

A new benchmark aims to improve the understanding of world knowledge by Large Language Models (LLMs) to prevent both unintentional and malicious data leakage.

112 shares

04

Selfsupervised Hierarchical Makeup Transfer

The first article presents a new technique called Self-supervised Hierarchical Makeup Transfer (SHMT) that improves makeup transfer using latent diffusion models.

99 shares

05

CacheAugmented Generation for Knowledge Tasks

The second article introduces a new concept called cache-augmented generation (CAG) that uses the extended context windows of large language models (LLMs) to avoid real-time retrieval.

91 shares

06

Building Mixture of Experts

The third article highlights the major issue of catastrophic forgetting when adjusting large language models (LLMs) to new tasks or domains.

39 shares

GitHub

Repositories the letter featured.

10 items

Finance5

01

Pythonic Trading with QTPyLib

The article QTPyLib Pythonic Algorithmic Trading discusses the use of Python in developing algorithmic trading strategies.

2,169 shares

03

Options Toolkit for Backtesting

Collection of scripts to help with Options and Backtesting offers a set of scripts for options trading and backtesting.

2 shares

04

Low Code ML Ranking Service

The piece A low code Machine Learning personalized ranking service for articles listings search results recommendations that boosts user engagement discusses a machine learning service that personalizes article rankings to enhance user engagement.

2,101 shares

05

ETF Extractor with Pandas

This repository is used to extract the constituents of ETFs into a pandas DataFrame which could be used for further data exploration details how to extract ETF data for further analysis using a repository.

16 shares

Trending5

01

Python Risk Budgeting

The article gives a tutorial on using Python for constrained and unconstrained risk budgeting risk parity allocation.

123 shares

03

Image to Markdown Converter

The article presents an open-source Python3 tool that converts visual content in images into Markdown format, supporting 80 languages.

2,087 shares

04

Binance API Connector

The article provides a guide on using a connector to access Binance's Public API.

2,100 shares

05

Large Systems Scalability Patterns

The article examines the patterns that enhance the scalability, reliability, and performance of large-scale systems.

59,757 shares

News

Industry news: funds, hiring, markets and regulation.

20 items

Quantitative10

01

Ossiam's Fixed Income Fund

Investment management firm Ossiam has introduced a new fund providing market-neutral exposure to fixed income investments.

5 shares

02

Insight Investment CEO Change

Insight Investment has named Raman Srivastava as its new CEO, according to Pension & Investments.

5 shares

04

Paragon's Expansion to Hong Kong

Paragon Capital Management, based in Singapore, has opened its first international office in Hong Kong to appeal to wealthy clients.

4 shares

05

Point72's Private Credit Strategy Launch

Point72 Asset Management is venturing into the private credit market under the leadership of ex-Blackstone senior managing director, Todd Hirsch.

4 shares

06

Eurodollar Parity Targeted

Bloomberg reports that hedge funds predict the euro could equal or fall below the dollar due to its weak start to the year.

4 shares

07

FalconX Acquires Arbelos

FalconX, a cryptocurrency brokerage, is reportedly nearing the acquisition of crypto derivatives startup Arbelos Markets, says Bloomberg.

4 shares

08

Influencer Launches Hedge Fund

Alfonso Peccatiello, ex-ING Germany investment head, is set to launch his new hedge fund, Palinuro Capital, on 13 January, according to Financial News London.

4 shares

09

Longshort Hedge Funds Strong Returns

Global hedge funds specializing in long/short stock trading saw their highest average returns since 2020, as per a Goldman Sachs note cited by Reuters.

3 shares

10

Top Earner at Rokos Capital Pay Increase

Rokos Capital Management's highest-paid member saw a 312% pay increase, earning £110.2m in the year ending 31 March 2024, reports Financial News.

3 shares

Miscellaneous10

01

D.E. Hedge

The article explores the advantages of working as a quantitative analyst in a specific region.

3 shares

02

Baillie Gifford vs. Sabas

Keystone Positive Change investment trust by Baillie Gifford is encouraging shareholders to reject a takeover bid from Saba Capital Management.

3 shares

03

Balyasny Equities Refocus

Balyasny Asset Management's founder, Dmitry Balyasny, has reorganized the company's equities division due to poor performance in 2023.

2 shares

04

Oil Surge

In late 2024, bullish bets on oil by investors reached a four-month peak, driven by hedge fund activities and expectations of Donald Trump's presidential comeback.

2 shares

05

Pershing Square Funds

Pershing Square Capital Management, led by Bill Ackman, has shut down its PSVII funds, a co-investment scheme designed to hold Universal Music Group NV shares.

2 shares

06

Birch Deal

Third Point, an investment firm owned by Daniel S Loeb, plans to buy AS Birch Grove, a credit fund manager worth $8bn.

2 shares

07

Citadel Hires

Citadel has hired a cloud specialist for its platform team.

2 shares

08

Crypto Market

Hedge funds are investing more in digital assets due to falling inflation and interest rates.

2 shares

10

Hindenburg Carvana

Hindenburg Research has shorted Carvana, alleging financial misconduct and an unsustainable business model.

1 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

Max Osbon Tech Investment Resilience

Max Osbon talks about the potential of tech investments, particularly in semiconductor companies like Nvidia, and the need to understand assets and predict market changes.

13 shares

02

Ep Mark Rzepczynski

Mark Rzepczynski discusses the differences between systematic and discretionary trading, the concept of risk versus uncertainty, and the difficulties of trading models in a podcast.

10 shares

03

Charles Rotblutt Emotional Investment

Charles Rotblutt emphasizes the effect of market sentiment on investment choices and the necessity of a long-term investment approach.

10 shares

04

Meb Faber Cutting-Edge ETF Innovations

Meb Faber discusses the shift from traditional mutual funds to innovative ETFs, the importance of tax-efficient investing, and the growing trend of global endowment-style investing.

9 shares

05

The Advisors Option 142 2024 Market Recap

The episode covers current market volatility, the effects of earnings season volatility, projected options volume for 2025, and the importance of bid calls in the Russell 2000.

8 shares

Related5

01

Audiobook Yield

Meb Faber's audiobook Shareholder Yield A Better Approach to Dividend Investing, offering a comprehensive market strategy, is now free for podcast listeners.

4 shares

02

Tom Lee Fundstrat

In the Investors First Podcast, Tom Lee of Fundstrat Global Advisors shares his predictions for the S&P 500, Bitcoin, and AI.

3 shares

03

Aleks Svetski Bitcoin

Aleks Svetski, a Bitcoin enthusiast, discusses Bitcoin's potential to revolutionize global economies and societies with Michael Gayed on The Lead Lag Report.

2 shares

04

Amy Nixon Housing Dynamics

Housing analyst Amy Nixon talks about the paradox of limited supply and reduced demand in the post-pandemic housing market, and the impact of immigration policies.

2 shares

05

Kyle Kazan Cannabis Industry

Ex-college athlete and real estate tycoon Kyle Kazan discusses his transition into the cannabis industry, its challenges, and growth opportunities through strategic partnerships and political changes.

0 shares

X / Twitter

Posts from quant researchers on X.

13 items

Quantitative6

03

Trend Following on Stocks

The article announces a new research paper studying the success of trend-following strategies in the stock market.

3 shares

04

Top Trading and Investing Books

Article: The piece suggests six top books for understanding trading, investing, and managing portfolios.

2 shares

06

Cryptos Pairs Trading

Article: The piece explores the idea of pairs trading within the cryptocurrency market.

1 shares

Miscellaneous7

01

New Year 2025 Blog

The author extends New Year greetings to followers of the Gregorian calendar in their first 2025 blog post.

0 shares

02

AI in FinTech

The article explores the potential impact of AI on user interfaces and compliance regulations in FinTech and DaaS, suggesting new revenue opportunities.

0 shares

03

AI Impact on SaaS Revenue

The article examines how AI could alter SaaS revenue models, shifting from monthly rates to outcome-based pricing.

0 shares

04

NVIDIA unveils DIGITS for AI

NVIDIA has unveiled DIGITS, a compact Super Computer powered by GPU for AI, capable of running models with up to 600B parameters.

0 shares

05

Unpacking the details

The author suggests that the linked content is complex and requires careful examination to fully understand.

0 shares

06

Profitability breakdown by Han et al.

Han and his team believe that investors often undervalue firm-specific profitability components, which, if properly sorted, can lead to substantial returns.

0 shares

07

Investigating low-volatility in stocks

The author investigates the impact of low-volatility in stocks, experimenting with different signals and combination strategies to enhance performance.

0 shares

Reddit

Threads from r/quant, r/algotrading and friends.

10 items

Quantitative5

Rising5

    Type to search. Try rough volatility, LLM agents or FinGPT.

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