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Quant LetterNo. 83

January 2025, Week 4

181 items across 10 sections, as sent to readers on 23 January 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

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

28 items

Finance9

01

Liquidity Spread Estimation

The article introduces a model that uses option theory to calculate liquidity spreads for corporate bonds, focusing on Italy's debt, and offers a method for pricing illiquid bonds.

7 sharesSource ↗

02

Rebate Design in Auction Markets

The research proposes an effective rebate policy in auction markets, demonstrating that ideal transaction fees and rebate structures enhance market efficiency and guarantee a minimum profit for market makers.

6 shares3 citations todaySource ↗

03

Optimal Transport for Correction

The article presents a method that eliminates arbitrage opportunities in option prices, designed for regulatory stress-tests, and proves to be more effective than existing methods.

6 sharesSource ↗

04

Asset Pricing in Information Markets

The paper presents a market equilibrium formula that combines informational imperfections and investor beliefs about assets, deriving the market portfolio and examining the sensitivities of each asset's extra excess returns.

3 sharesSource ↗

05

Dynamic Portfolio Choice

The Pontryagin-Guided Direct Policy Optimization (PG-DPO) method has been developed to expand dynamic portfolio choice to tens of thousands of assets, exceeding the traditional six-asset limit.

3 shares2 citations todaySource ↗

06

Penalised Estimation

A new objective function has been proposed for estimating all quantiles in dynamic quantiles models, providing a more robust and flexible approach to handling multiple dynamic quantiles in time-series data.

3 sharesSource ↗

07

Option Price Data Cleaning

The article addresses three common issues in recorded option price datasets and suggests solutions to ensure the reliability of analyses based on these datasets.

2 shares1 citation todaySource ↗

08

Host Country FDI Dynamics

The article examines the impact of foreign direct investment (FDI) on the development of host countries, indicating that FDI is only beneficial in the early stages of a country's development.

2 shares1 citation todaySource ↗

09

Earning Capacity Loss in Denmark

The article explores the challenges and opportunities in risk assessment and mitigation for loss of earning capacity insurance in Denmark, highlighting the need for innovative actuarial approaches.

2 shares1 citation todaySource ↗

Economics8

01

Economics of AI Models

The article explores the economic reasons behind for-profit companies open sourcing their large language models, highlighting a balance between technological advancement and immediate profit.

8 shares3 citations todaySource ↗

02

Evolution of Skill Returns

The study disputes the common view that wage inequality in the US is due to unobserved skills, instead attributing it to increasing skill volatility.

7 shares2 citations todaySource ↗

03

Impacts of Cash Transfer Scheme

The research uses machine learning to study the effects of Indonesia's conditional cash transfer scheme on maternal health care, finding significant variations based on supply-side factors and poverty indicators.

6 shares5 citations todaySource ↗

04

Debt Default and Climate Risk

The paper investigates the link between sovereign debt default and environmental factors, concluding that climate risk does not significantly affect the decision to default in developing and low-income countries.

6 shares1 citation todaySource ↗

05

AHP for Financial Inclusion

The article highlights the role of digital financial services in promoting financial responsibility in five East Central European countries.

6 shares11 citations todaySource ↗

06

Short Chains for Animal Welfare

The study shows that educating consumers about animal welfare-friendly products can positively influence their behavior and support sustainable food systems.

6 shares4 citations todaySource ↗

07

Dollarized Economies in Latin America

The paper suggests that dollarization in Latin American countries can guard against inflation, but domestic policies and government action are more crucial for economic stability.

6 shares2 citations todaySource ↗

08

Pension and Demographic Dividend in China

The study reveals that China continues to benefit from a demographic dividend despite an aging population and increased pension costs, largely due to the high employment rate among young people.

6 sharesSource ↗

Miscellaneous6

01

Portfolio Optimization with Clustering

The article presents a new method for improving portfolio performance using clustering-based segmentation and Sharpe ratio-based optimization, tested with historical data from various asset classes.

9 shares1 citation todaySource ↗

02

Airbnb Booking Dynamics

The paper uses a normalized L1 distance to evaluate changes in Airbnb booking lead times from 2018 to 2022, highlighting changes in travel planning during the COVID-19 pandemic overlooked by conventional metrics.

5 shares14 citations todaySource ↗

03

Analyzing Airbnb Lead Time Changes

The study introduces a novel technique using normalized L1 distance to examine shifts in Airbnb booking lead times during the COVID-19 pandemic, offering useful insights for better demand prediction and pricing in the travel sector.

5 shares14 citations todaySource ↗

06

Imbalanced-Aware Dataset Distillation

A new framework that combines dataset distillation techniques with pretrained models improves credit scoring technologies, expanding the use of large models in finance.

2 sharesSource ↗

Crypto & Blockchain1

01

Bitcoin's Institutional Adoption and Correlation Trends

The study examines the impact of Bitcoin's growing integration with traditional financial markets, especially U.S. equity indices, on its correlations with the Nasdaq 100 and the S&P 500. It suggests that Bitcoin is transitioning from an alternative asset to a more mainstream financial instrument.

3 shares4 citations todaySource ↗

Historical Trending4

01

Neural Networks for Insurance Pricing

The article discusses the application of deep learning in insurance pricing, comparing different models and offering a method to interpret neural network insights through generalized linear models.

27 shares16 citations todaySource ↗

02

Realistic Limit Order Book Simulation

The MDQR model, an advanced Queue-Reactive model, uses neural networks to understand complex market dependencies, making it useful for practical applications like strategy creation.

16 shares4 citations todaySource ↗

03

Semantic Consistency in Political Text Analysis

The article repeats the use of the MDQR model, a neural network-based extension of the Queue-Reactive model, for understanding complex market conditions and its application in strategy development.

16 shares4 citations todaySource ↗

SSRN

Working papers in finance and economics from SSRN.

52 items

Quantitative30

01

Mutual Funds Analysis

The research assesses the performance of two key FinTech mutual funds in India, highlighting the importance of selecting profitable funds for investment.

10 sharesSource ↗

02

Macroeconomic Models

The article reviews the influence of heterogeneity on macroeconomic modeling, especially in monetary and fiscal policy, and evaluates methods to solve these models.

397 sharesSource ↗

03

Stock Market Volatility

The paper studies the volatility performance between the Nifty index and Sector index, emphasizing the role of the stock market in economic growth and the potential harm of market instability.

10 shares2 citations todaySource ↗

04

Weibull Distribution Investment

The research investigates the effectiveness of different optimization techniques for estimating Weibull distribution parameters, finding that metaheuristic algorithms outperform traditional methods.

16 sharesSource ↗

05

Online Sales Tax Avoidance

The study examines the effect of disclosing alternative data on corporate tax avoidance, revealing that tax avoidance decreases with such disclosure, especially for firms with high information opacity and low stock liquidity.

11 sharesSource ↗

06

Variational Inequality Finance

The paper discusses various variational inequality models in finance, which outline optimal strategies in derivatives pricing, portfolio selection, and corporate finance.

11 sharesSource ↗

07

LLMVaR Risk Forecasting

The research introduces new methods for forecasting financial risk using large language models, finding these models effective for short-term but traditional models superior for long-term financial risk management.

26 sharesSource ↗

16

Energy Market Calibration

The article proposes a model to align historical correlations of futures contracts with implied volatility smiles using two specific mathematical models.

233 sharesSource ↗

17

Bank Distress Prediction

The paper presents a machine learning-based early warning system to predict distress in large European banks, with the random forest model performing best.

23 shares1 citation todaySource ↗

18

Credit Risk Modeling

The article introduces a framework for applying normalizing flows to credit risk modeling, using invertible neural networks to combine two different approaches.

28 sharesSource ↗

21

NVIDIA's Cosmos Models

The paper offers a technical analysis of NVIDIA's Cosmos World Foundation Model Platform for Physical AI, highlighting its architecture, training methods, and performance.

45 sharesSource ↗

22

Investment Preferences

The study finds that financially independent corporations in China tend to prefer financial investments due to high agency costs and reduced financial risk.

15 sharesSource ↗

Financial22

02

Portfolio Gyrations in Mutual Funds Analysis

The research explores what influences portfolio changes in emerging market equity mutual funds, highlighting firm size, investment features, and stock attributes as key factors, with their significance changing based on market conditions and investment strategies.

3 sharesSource ↗

03

Impact of Development Financial Institutions in Venture Capital

The paper studies the investment behaviors of Development Finance Institutions in venture capital, revealing their goals to develop VC ecosystems, encourage entrepreneurship, stimulate innovation, and advocate sustainability, with differing levels of success in developed and developing economies.

2 sharesSource ↗

05

Cyber Vulnerability in Financial Stress

The risk of a cyberattack is heightened during stressed financial conditions, as evidenced during the COVID-19 pandemic, necessitating policy solutions tailored for such adverse conditions.

14 sharesSource ↗

06

Anomalies and Market Return Predictability

A link between cross-sectional anomalies and timeseries market return predictability in an international context has been found, leading to the creation of three new market efficiency measures.

3 sharesSource ↗

07

Appraisal Information and Property Valuations

Following the implementation of stricter flood standards, an unexpected rise in home valuations has been noted, with changes in appraisers' practices suggesting a behavioral shift rather than market mispricing.

2 sharesSource ↗

08

Mathematical Generative Modeling Framework

The article introduces a mathematical model that combines five major generative modeling paradigms, using optimal transport theory, stochastic differential equations, and information geometry.

26 sharesSource ↗

09

Digital Financial Knowledge Transmission

The study reveals that digital platforms enhance financial knowledge, increase stock market participation, and improve investment behavior, especially among older, less wealthy, and inexperienced households.

16 sharesSource ↗

10

NonMarkovian Feynman-Kac Formula

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

24 sharesSource ↗

11

Geometric Topological Data Analysis

The article analyzes geometric and topological data analysis methods, presenting a neural architecture that combines geometric convolutions with persistence-based features for improved data analysis.

31 sharesSource ↗

12

Climate-Linked Bonds

The paper discusses the potential of climate-linked bonds in achieving a net-zero economy, suggesting that about three percent of government debt in major economies could be converted into such bonds.

8 shares3 citations todaySource ↗

13

Aggregated Equity Risk Premium

The article suggests a new method for predicting the equity risk premium by aggregating firm-level return predictions from neural networks, showing significant economic benefits in trading strategies.

15 sharesSource ↗

14

News Sentiment Analysis Limitations

The paper explores the difficulties of using news sentiment analysis to predict next-day stock returns, proposing a multilevel approach that incorporates sentiment analysis across individual stocks, industries, and the overall economy.

2 sharesSource ↗

15

Index Fund Costs

The composition changes in the stock market cause costs for index funds, negatively affecting returns due to a rebalancing strategy that buys high and sells low.

3 sharesSource ↗

16

FX and Bonds Risk

The demand shifts for U.S. Treasuries impact foreign exchange and bond markets, causing the U.S. dollar to depreciate against G9 currencies when demand is high.

23 sharesSource ↗

17

Equity Portfolio Diversification

Equity portfolios that are diversified based on risk and sector significantly lower the chances of extreme losses without greatly affecting portfolio performance.

4 sharesSource ↗

18

Geopolitical Risk and Mutual Funds

Geopolitical shocks like export controls impact the U.S. asset management industry, but active funds can mitigate this by selling stocks of affected U.S. firms.

3 sharesSource ↗

19

Inflation and Asset Prices

Expected inflation changes influence firm-level credit spreads and equity returns, with good inflation reducing corporate credit spreads and increasing equity valuations.

7 sharesSource ↗

20

SHAP Location Value

Machine learning and explainable artificial intelligence can estimate combined location value, separating it from structure value in apartment rents.

8 sharesSource ↗

21

Insider Trading Strategy

A portfolio strategy using Monte Carlo simulations and insider trading transactions consistently performs better than the S&P 500 across various performance metrics.

3 sharesSource ↗

22

Asset Co-Movement Conflicts

There is a positive correlation between the monthly returns of bonds and equities, with less stakeholder conflict leading to a higher degree of comovement between these financial instruments.

3 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance15

02

Factor Model for Equity Risk

A new model using instrumented principal component analysis (IPCA) predicts country equity risk premia better than other models, especially in emerging markets.

21 sharesSource ↗

08

BRICS Stock Volatility

The study identifies factors affecting stock price volatility in BRICS countries during crises using data analysis, with the Random Tree method proving most effective.

14 sharesSource ↗

09

Risk Spillovers Among Markets

The paper finds that asset price declines are more consistent in extreme market conditions, based on an exploration of dependencies among commodity futures, stock markets, and ESG bond markets.

14 sharesSource ↗

10

Volatility Indexes and Investments

The research reveals that the COVID-19 pandemic significantly impacted the dynamic connectedness between volatility indexes and worldwide ESG leaders’ equity markets.

13 sharesSource ↗

12

Bitcoin ETF Impact

The study finds that ETF asset managers became the major long-side participants following the introduction of the ProShares bitcoin strategy ETF.

13 sharesSource ↗

14

Model-Free Price Movements

The paper introduces a model-free lattice model that can describe the complete price evolution of an asset and re-price all of its European options simultaneously.

10 sharesSource ↗

Machine Learning4

01

Determinants of Zero-Leverage

The study uses machine learning to identify factors influencing the zero-leverage phenomenon, including cash holdings, tangible assets, industry leverage-level, and firm size, and suggests a solution for sample imbalance.

20 sharesSource ↗

02

Predicting Bond Returns

Machine learning models show strong bond return predictability, especially during high risk aversion and slow economic growth, emphasizing the importance of using both cross-sectional and time-series predictors.

13 sharesSource ↗

03

Robust SVM Optimization

The paper introduces new optimization models for Support Vector Machine for classification tasks, using robust optimization techniques to guard against data perturbations, and demonstrates the benefits through real-world datasets.

12 sharesSource ↗

04

DataDriven Inventory Control

The paper suggests a Prescriptive Analytics approach for data-driven dynamic inventory control of large product portfolios, using a 'global learning' model that outperforms 'local learning' strategies, and highlights the importance of contextual information.

11 sharesSource ↗

Deep Learning1

Historical Trending10

07

Beating Diversification Strategies

The research indicates that the $1/N$ rule is best in high-dimensionality but can be improved by combining it with other rules or machine learning portfolios.

10 sharesSource ↗

08

AIs Impact on Assets

The article explores the benefits and risks of using artificial intelligence in asset management, including improved research and decision-making but potential biases.

10 sharesSource ↗

10

Decision Discovery for Operations

The paper introduces the Decision Discovery Framework (DDF) for creating decision discovery algorithms, and suggests future research on decision modeling and processing unstructured data.

9 sharesSource ↗

Machine learning

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

18 items

Recently Published10

01

Physics of Skill Learning

The study proposes three models - Geometry, Resource, and Domino - to understand the physics of skill learning in neural networks, offering insights into neural scaling laws and learning dynamics.

260 shares8 citations todaySource ↗

02

GPS for Image Generation

The research uses GPS tags in photo metadata to train models that generate images based on location, improving the estimated 3D structure and capturing the unique appearance of different locations.

52 shares8 citations todaySource ↗

03

Continuous 3D Perception

The paper presents CUT3R, a unified framework that uses a recurrent model to generate metric-scale pointmaps from a stream of images, enabling dense scene reconstruction that updates with new images.

45 shares593 citations todaySource ↗

04

Learning Segmentation from Motion

The study introduces a method for segmenting objects in videos based on motion, using long-term point trajectories to complement optical flow, improving motion-based segmentation.

30 shares14 citations todaySource ↗

05

ZeroShot Scene Flow Estimation

The research proposes a method for scene flow prediction that estimates geometry and motion, offers a solution to scene flow data scarcity, and introduces a natural parameterization for scene flow prediction, enhancing scene flow prediction in-the-wild.

14 shares22 citations todaySource ↗

06

Expertise vs AI in Art

A study shows that while AI tools can assist in artistic creation, professional artists still produce more creative and accurate work, though the difference is slight.

13 shares7 citations todaySource ↗

07

Gaussian Surface Reconstruction

GSTAR, a new method for photo-realistic rendering and 3D tracking of dynamic scenes, has been introduced, enabling a variety of applications.

11 shares17 citations todaySource ↗

08

Force-informed Dexterous Manipulation

DexForce, a new method for capturing demonstrations of complex manipulation, uses contact forces to compute actions for policy learning, achieving a 76% success rate.

10 shares55 citations todaySource ↗

09

Efficient Sparse Fourier Transform

GFast, a new algorithm, efficiently calculates the Fourier transform of functions over generalized q-ary sequences, outperforming existing algorithms in speed and sample usage.

10 shares2 citations todaySource ↗

10

X 3D Gaussian Compression

HAC++, a new 3D Gaussian Splatting compression technique, uses relationships between unorganized anchors and a structured hash grid to achieve a size reduction of over 100X while improving fidelity.

10 shares70 citations todaySource ↗

Historical Trending8

01

Inference-Time Scaling

The research shows that increasing computation during inference-time can enhance the quality of samples produced by diffusion models, especially in image generation.

175 shares256 citations todaySource ↗

02

Survey of Large Reasoning Models

The article discusses advancements in Large Language Models (LLMs) reasoning, emphasizing the use of reinforcement learning and thought simulation for complex reasoning, and the potential of scaling during training and testing.

107 shares250 citations todaySource ↗

03

OmniThink: Machine Writing Expansion

Machine Writing Expansion: OmniThink, a machine writing framework that mimics learner cognition, is introduced to improve the knowledge density of machine-written articles, addressing the limitations of retrieval-augmented generation.

52 shares26 citations todaySource ↗

04

Visual Tokenizer Scaling

The study reveals that scaling the decoder in auto-encoders, specifically the VisionTransformer architecture for Tokenization (ViTok), improves reconstruction performance and sets new standards for class-conditional video generation when combined with Diffusion Transformers.

31 shares33 citations todaySource ↗

05

Code Edits in ML Notebooks

A study using a dataset of over 48,000 Jupyter notebook edits from GitHub reveals the complexity of machine learning maintenance tasks and the potential of large language models in predicting code edits.

30 shares3 citations todaySource ↗

06

TVCompBench: Text-to-Video Benchmark

Text-to-Video Benchmark: TV-CompBench, a new benchmark for evaluating text-to-video generative models, shows that current models struggle with composing various elements into a video.

28 shares183 citations todaySource ↗

07

Neuradicon: Learning Neuroimaging Reports

Learning Neuroimaging Reports: Neuradicon, a new natural language processing framework, has been developed for analyzing neuroradiological reports, showing excellent adaptability across different time periods and healthcare institutions.

26 shares3 citations todaySource ↗

08

FAST Action Tokenization for VLA Models

A new tokenization scheme, Frequency-space Action Sequence Tokenization (FAST), has been proposed for robot actions, facilitating the training of vision-language action policies for complex and high-frequency tasks.

24 shares673 citations todaySource ↗

Papers with code

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

1 items

Rising1

01

Selfadaptive LLMs

The article discusses self-adaptive large language models (LLMs) which are designed to tackle the issues of high computational intensity and inflexibility in managing diverse tasks, common problems with traditional fine-tuning methods.

665 shares

GitHub

Repositories the letter featured.

10 items

Finance5

01

Genetic Algorithm Python

PyGAD is a Python 3 library used for developing genetic algorithms and training machine learning models like Keras and PyTorch.

1,946 shares

02

OpenAI Gym

The toolkit is intended for the development and comparison of various reinforcement learning algorithms.

35,183 shares

03

jless JSON

Jless is a command-line tool for viewing, exploring, and searching JSON data.

4,864 shares

04

Kiln AI

This tool aids in fine-tuning LLM models, creating synthetic data, and facilitating dataset collaboration.

756 shares

05

OpStrat Options Trading

The project provides implementations of popular options trading strategies with experimental features, with plans to become a library in the future.

21 shares

Trending5

01

Open Source Gemini Research

The article presents an open-source AI tool that rivals Gemini Deep Research by generating reports from search results.

231 shares

02

The Scikit-Learn Sidekick

The article discusses scikitlearn sidekick, a tool designed to assist in machine learning processes.

239 shares

03

Python Stats Package

The article details a Python-based statistical package that utilizes the Pandas library.

1,668 shares

04

Simple Concurrent Python

The article provides a simplified explanation of concurrent programming in Python.

675 shares

05

Smartphone User LLM Framework

The article unveils AppAgent, a framework that uses LLM-based technology to operate smartphone apps.

5,403 shares

News

Industry news: funds, hiring, markets and regulation.

20 items

Quantitative10

01

ExMillennium Manager Starts Hedge Fund

Former Millennium manager, Robert BonteFriedheim, is launching a London-based hedge fund, Scarlet Macaw Capital, with a starting capital of 200m in Q2.

7 shares

02

Nalmont Capital Names Managing Partner

Nalmont Capital, a Montreal-based asset manager, has named Alexandre Hocquard as its new Managing Partner and Lead Portfolio Manager.

6 shares

04

Saba Defeated in UK Investment Trust Battle

Saba Capital's bid to revamp the UK's closed-ended investment trust sector was blocked as Herald Investment Trust shareholders rejected its board replacement proposal.

5 shares

05

UK Investment Trust in Existential Crisis

Edinburgh Worldwide Investment Trust (EWIT) is urging investors to resist Saba Capital's plan to replace its board, labeling it a significant threat.

5 shares

06

Code Willing partners EDI

Code Willing and Exchange Data International have partnered to launch CWIQ Platform, aimed at enhancing research workflows for hedge funds and asset management firms.

4 shares

08

Hudson Bay Sona and Centiva in HK

Hudson Bay Capital Management, Sona Asset Management, and Centiva Capital are expanding their presence in Hong Kong, enhancing the city's status as a top financial centre in Asia.

3 shares

09

Global outlook 2025: Hedge fund trends

Hedge fund trends: Hedge funds are at a crossroads due to global uncertainty, high interest rates, and market dispersion, potentially heralding a new golden era for active management.

3 shares

10

Simmons introduces LaunchPlus tool

Simmons & Simmons law firm has updated LaunchPlus, a tool designed to assist new fund managers in navigating the complexities of establishing a hedge fund in the UK.

3 shares

Miscellaneous10

04

Brazil's Hedge Fund Exodus

In 024, Brazilian hedge funds saw a record level of withdrawals due to increasing interest rates and market volatility.

2 shares

06

Trump 2: Hedge Fund

Hedge Fund: Hedge funds are increasing their market positions and betting on the dollar's rise in anticipation of Trump's potential second term, reaching the highest borrowing levels since 2010.

2 shares

07

Fasanara's Tokenised Fund

Fasanara Capital has launched its first tokenised Money Market Fund, the Fasanara MMF Token, on the Polygon PoS public blockchain.

2 shares

08

Chepstow Lane's High Return

European credit manager, Chepstow Lane Capital, reported net returns of 13.24% in 2024, as per an investor letter cited by Bloomberg News.

2 shares

09

Baupost's Client Withdrawals

Baupost Group, a former leading hedge fund, has experienced a $7bn client withdrawal over the past three years due to poor returns, according to Bloomberg.

1 shares

10

LOIMs DOM Global Strategy

Lombard Odier Investment Managers has introduced DOM Global Macro, a new liquid diversified absolute-return UCITs strategy, expanding its Alternatives franchise.

1 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

Rethinking Investing Diversification

Michael Gayed and Jeff Sarti emphasize the need for diversification in investments, the potential of private credit markets, and the influence of behavioral finance on investment decisions.

17 shares

02

Deregulation Impact on Bonds and Inflation

Jay Hatfield discusses the effects of deregulation on inflation, the advantages of active management in fixed income markets, and how small and large firms differ in responding to market changes.

10 shares

03

Asset Allocation

David Lebowitz and Jared Gross provide a macroeconomic update and discuss asset allocation strategies for 2025, including equities, fixed income, real assets, and financial alternatives.

10 shares

04

EM Fixed Income Update

Jonny Goulden and Saad Siddiqui discuss recent market developments and their impact on the EM fixed income asset class, with a strict rule against sharing the discussed research without J.P. Morgan's consent.

8 shares

05

Mastering Penny Stocks

Timothy Sykes shares his transition from tennis to stock trading, his strategies for dealing with volatile stocks, the importance of understanding market sentiment, and his philanthropic activities funded by his trading profits.

7 shares

Related5

01

Wendy Li on Endowment Investing

Wendy Li of Ivy Invest shares her strategies for risk management and alternative asset investment, aiming to make endowment-style investing available to individual investors.

6 shares

02

Nomi Prins on Central Bank Dynamics

Former Wall Street manager, Nomi Prins, explores the intricate relationship between central banks, their growing gold reserves, and the effect on the global monetary system.

5 shares

03

Navigating Global Bond Market Volatility

Jonathan Fine and George Cole of Goldman Sachs discuss the recent fluctuations in global bond yields and what it means for the economy and investors.

4 shares

05

Global FX Outlook for Inauguration

Arindam Sandilya, Junya Tanase, James Nelligan, and Patrick Locke discuss the FX outlook ahead of the US Presidential inauguration, highlighting the need for confidentiality when using J.P. Morgan Data in AI systems.

4 shares

X / Twitter

Posts from quant researchers on X.

6 items

Quantitative3

01

Survey Paper on Crypto Trading Strategies

The article provides an in-depth analysis of cryptocurrency, including trading strategies, portfolio building, volatility forecasting, and data sources, along with a comprehensive list of references for further study.

6 shares

02

Recap of Latest Research on Investing

The article recaps recent research on investment, covering topics like short interest and predictability, intraday oil futures patterns, banking stocks drivers, and forecasting FOMC decisions.

1 shares

03

MOVE Index and VIX Predict Stock Returns

The article explores a new study that reveals a significant prediction of stock returns based on the divergence between the MOVE index and the VIX.

1 shares

Miscellaneous3

Reddit

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

6 items

Quantitative1

Rising5

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