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Quant LetterNo. 3

June 2023, Week 1

130 items across 11 sections, as sent to readers on 7 June 2023. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

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

28 items

Finance10

07

Dynamic Persistence

Model proposed for smoothly varying heterogeneous persistence of economic data.

3 shares5 citations todaySource ↗

Economics6

01

Business Cycles

Flexible labor markets lead to cyclical unemployment rates in line with Friedman's plucking theory. Output recoveries differ across countries and sectors, with construction-driven recessions being more persistent.

2 shares1 citation todaySource ↗

02

Inflation & Monetary Policy

A new modelling approach using the Mark-0 Agent-Based Model explores the impact of regulatory policies on inflationary dynamics resulting from COVID-19-related shocks.

2 shares18 citations todaySource ↗

03

Life After Default

Soft credit default has substantial and long-lasting negative effects on credit score, total credit limit, home-ownership status, and income, up to ten years after the event.

2 sharesSource ↗

04

Energy and Economic Valuation

Energy cost has a clear correlation with market prices of 65 purified chemical elements, serving as the 'invisible hand' governing economic valuation.

3 shares15 citations todaySource ↗

05

Big Tech's Online Speech Grip

Centralized control over online speech by select platforms has consequences for society's unpopular members, and market expansion and segmentation are proposed as an alternate pathway to avoid regulation.

2 shares2 citations todaySource ↗

06

Internet Immunity Reform

The Supreme Court may change Section 230 of the Communications Decency Act, which provides online entities with absolute immunity from lawsuits related to third-party content.

2 shares1 citation todaySource ↗

Miscellaneous3

01

Citation Inflation and Disruption Index

Scientific publications and patents are not becoming less disruptive over time, but rather the reported decrease in disruptiveness is due to systematic shifts in citation networks.

5 shares35 citations todaySource ↗

Crypto & Blockchain2

Historical Trending7

01

Business Cycle Synchronization

Business cycles are driven by non-linear dynamics, generating stronger comovement across countries, according to a new study.

101 shares9 citations todaySource ↗

02

Denise: Deep Learning for PCA

Deep Learning for PCA: Researchers have developed Denise, a deep learning-based algorithm for robust principal component analysis of covariance matrices, which is 2000 times faster than the current state-of-the-art method.

34 shares3 citations todaySource ↗

03

BidAsk Spread Dynamics with SDSH

A new State-dependent Spread Hawkes model has been proposed to forecast spread values in financial securities, incorporating the impact of the current spread state on its intensity functions.

32 shares1 citation todaySource ↗

04

Common Risk

A new risk factor predicts market returns by analyzing upside and downside risks.

24 sharesSource ↗

SSRN

Working papers in finance and economics from SSRN.

10 items

Quantitative5

05

Measuring Transition Risk

Investment portfolios suffer moderate losses upon materialization of high transition risk scenario, sustainable funds perform better.

4 sharesSource ↗

Financial5

RePEc

Economics working papers from RePEc's NEP field reports.

27 items

Finance13

Statistical3

02

Heuristic Portfolio Selection

A portfolio formation strategy based on multivariate forecasting model splitting into bivariate models offers better investment performance for large portfolios.

17 sharesSource ↗

Machine Learning3

Historical Trending8

08

Modeling Recovery Rates of US Banks

A unified recovery rate analysis for US banks reveals estimated latent correlation ranges from 0.2% to 1.5% within examined portfolios, impacting recovery rate volatility.

19 sharesSource ↗

Papers with code

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

8 items

Trending4

03

Efficient ALMs

ALMs use LLMs with knowledge retrieval and action execution tools.

303 shares

Rising4

GitHub

Repositories the letter featured.

4 items

Finance4

01

BitMEX Test

BitMEX uses algo trading backtesting.

53 shares

02

Lance: Data Format

Data Format: Rust implements modern columnar data format for ML and LLMs.

1,701 shares

03

Finance News Analysis

Llama Index, GPT-4, and Streamlit used for financial news analysis.

66 shares

04

Alpha Generation RL

Reinforcement learning used to generate predictive stock factors.

28 shares

News

Industry news: funds, hiring, markets and regulation.

10 items

Quantitative5

Miscellaneous5

01

Acadian Credit

Scott Richardson joins quantitative management with new expertise.

2 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

Related5

01

AI and Income Generation

Marine Corps mindset can help with trading and investing, according to Dillon Valdez.

7 shares

03

Winners and Losers in Finance

Deepak Gurnani of Versor Investments discusses trend following strategies and sector neutrality.

5 shares

04

Winning Investment Strategies

Felix Salmon of Axios explores financial markets through the lens of bond markets, touching on post-Covid landscape, systemic risk, and fraud.

5 shares

05

Bond Markets and Financial Fraud

Options industry experts discuss generating income in high rate environments, April options volume numbers, earnings season volatility update, and the biggest surprise about options learned from years of back testing.

5 shares

Blogs

Posts from quant and economics blogs and newsletters.

8 items

Quantitative4

01

Trading Factors

Finding hidden trading factors through research.

2 shares

02

FinML Snippet 3.1

Struggle with understanding code in AFML snippet 3.1.

8 shares

Related4

01

Active Net Zero

Investing in Active Net Zero can be profitable and reduce risks.

0 shares

02

Value and Growth

Combining Value and Growth strategies can benefit investors.

0 shares

Videos

Talks, lectures and tutorials.

5 items

Quantitative5

01

ML for High Risk Applications

Guest lecture on machine learning for high risk applications covers governance, explainable models, model validation, bias management, and security.

8 shares

02

FinRL: RL in Finance

RL in Finance: Hudson and Thames Reading Group explores FinRL library for democratizing quantitative finance and stock trading strategy development.

0 shares

03

Stony Brook Quant Finance Masters

Stony Brook's quantitative finance program is rigorous but could improve with dedicated career development resources.

17 shares

04

Movie Genre Prediction with DL

Video promotes book Approaching Almost Any Machine Learning Problem and encourages following creator on social media.

33 shares

X / Twitter

Posts from quant researchers on X.

10 items

Quantitative5

Miscellaneous5

01

Equity Anomalies

Study finds equity factor momentum strong, price momentum remains distinct risk factor.

3 shares

04

ML Volatility Forecasting

Li and Tang's paper on forecasting volatility shows significant gains with ML algorithms.

2 shares

05

Advanced Asset Management

Thierry Roncalli's lecture notes cover advanced topics in asset management, including ML optimization algorithms.

2 shares

Reddit

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

10 items

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