GIT Pricing of American Options with Hybrid Dividends
Fast math method that computes prices and exercise rules for American options with discrete dividends.
13 sharesSource ↗
Quant LetterNo. 117
133 items across 11 sections, as sent to readers on 27 October 2025. Paper titles open their ML-Quant page; ↗ goes to the source.
Quantitative-finance and ML-for-finance preprints from arXiv.
26 items
Fast math method that computes prices and exercise rules for American options with discrete dividends.
13 sharesSource ↗
Uses optimal-transport to align English–Japanese stock news, producing clearer signals that better predict returns.
8 sharesSource ↗
Finds Indian mutual funds often change investment styles, which can materially alter their risk‑adjusted returns.
7 sharesSource ↗
KG+LLM for Financial Causal Discovery: Combines SEC knowledge graphs, LLM reasoning, and causal discovery to build more accurate finance‑grounded causal models.
7 shares1 citation todaySource ↗
Fast GPU-enabled calibration that precomputes integrals and uses a small neural net to quickly fit VIX models.
6 sharesSource ↗
Shows how to set fair payouts from an endowment contingency fund, comparing active vs passive managers and giving conditions for actuarial fairness under general loss patterns.
5 sharesSource ↗
Builds a robust crypto covariance model using power laws and Random Matrix Theory with ResNet corrections to create stable, profitable portfolios across market regimes.
5 sharesSource ↗
Proposes an improved multilevel Monte Carlo with antithetic sampling to estimate loss probabilities and Value‑at‑Risk more efficiently for irregular payoffs, illustrated in life insurance.
5 shares1 citation todaySource ↗
Finds that investors targeting specific outcome quantiles change volatility exposure (cutting risk to protect downside or seeking dispersion for upside) and introduces a distributional actor‑critic to learn such strategies.
4 sharesSource ↗
Models multi‑asset variance swaps via generalized variance (determinant of the covariance), derives closed‑form formulas under Heston and BNS volatility models, and validates them by simulation.
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Groups people with similar risk attitudes, reducing the n‑agent risk‑sharing problem to a two‑agent (risk‑averse vs risk‑seeking) model with clear existence conditions.
8 sharesSource ↗
Qlearning with neural nets shows low‑asset unemployed spend stimulus more and that past unemployment leads to persistently lower consumption.
6 sharesSource ↗
Using Madrid data, parents' education and effort boost kids' grades, with the parental advantage shrinking in math, peaking then falling in literature, and steadily rising in English.
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DFIs attract and reduce risk for foreign investors in Angola, but lasting gains need stronger local governance and policy reforms.
4 shares2 citations todaySource ↗
A method to measure a policy’s true impact in centralized markets by adjusting baseline results for market-wide changes.
4 sharesSource ↗
Publishing a detailed product database nearly doubled follow-up innovation—mainly by foreign firms—though the boost weakened over time.
3 sharesSource ↗
LLM platforms can quietly absorb users’ ideas, creating power imbalances; the paper proposes governance and technical fixes to protect creators.
20 shares1 citation todaySource ↗
Combining transparent decision trees, LLMs, and practitioner input yields accurate, explainable case-level predictions for public and nonprofit programs.
12 sharesSource ↗
A model estimates daily environmental variable distributions across seasons and trends to better understand river flows and floods (tested on the 2021 Fraser River).
9 sharesSource ↗
Topological Data Analysis finds clearer, more separated currency clusters than traditional methods, revealing co-movement patterns useful for risk management.
9 shares1 citation todaySource ↗
A feminist analysis shows platform work causes precarity, surveillance, blurred work–life boundaries, and colonial legacies, and calls for participatory governance and structural reform.
5 sharesSource ↗
- News-RL Trading - News-Driven Trading - News-Based RL - RL for News Trading - News-Powered RL If you want the shortest single choice: News-RL Trading.: Short summary: Feeding news sentiment extracted by large language models together with raw price and volume into a sequence-model reinforcement learning system boosts cryptocurrency trading performance, removing the need for handcrafted trading rules.
8 shares1 citation todaySource ↗
We show interventionally robust optimization is continuous under a G‑causal Wasserstein distance and introduce a causal normalizing flow that respects this, improving data augmentation for causal prediction and portfolio optimization.
17 sharesSource ↗
Using UEFA penalty shootout data (2000–2025) we find outcomes are essentially random—no measurable advantage from kicking order, venue, momentum, or team strength.
16 shares3 citations todaySource ↗
Accounting for model uncertainty makes insurers set higher, more conservative prices and liquidity buffers, widens capacity ranges, and produces much longer underwriting cycles with more time in low‑capacity states.
12 shares2 citations todaySource ↗
We remove bias in Dirichlet compositional time series by centering MA innovations using digamma adjustments, yielding unbiased MA terms, better forecasts, and cleaner MCMC diagnostics.
11 shares2 citations todaySource ↗
Working papers in finance and economics from SSRN.
8 items
New Bar Portion signal in a crypto market-making strategy beat the traditional MACD in 24‑hour live tests.
7,767 sharesSource ↗
Daily data (2005–2024) show hedge funds became key liquidity providers in German government bonds after 2015 as banks cut back due to higher balance‑sheet costs.
191 sharesSource ↗
Analysis of 631 private video‑game deals finds game investments outperform similar private and public deals, making game-focused funds attractive.
105 sharesSource ↗
Firms' environmental traits create a distinct bond-market anomaly that improves portfolios beyond standard factors, and a simple model explains it.
106 sharesSource ↗
They built an automated crypto market‑making bot using a simple Bar Portion signal that outperformed a MACD baseline in live trading while keeping risk controlled.
7,767 sharesSource ↗
Since 2015 hedge funds have acted as quasi‑market‑makers in German government bonds, absorbing new issues as banks pulled back under tighter regulation.
191 sharesSource ↗
A study of 631 private videogame investments finds game companies outperform comparable private and public deals, implying dedicated videogame funds may be attractive.
105 sharesSource ↗
Environmental characteristics in corporate bonds form a distinct, profitable anomaly separate from traditional factors, improving portfolio choices and backed by a simple theoretical model.
106 sharesSource ↗
Economics working papers from RePEc's NEP field reports.
30 items
Uses machine learning and copula regression to measure KSE‑30 stock dependence on Pakistan’s market and offers a fast optimizer favoring low/moderate‑volatility assets.
10 sharesSource ↗
Builds and back‑tests an automated ARMA‑GARCH trading system that adapts to crises to limit losses and preserve capital in emerging markets.
9 sharesSource ↗
Heavy Tails & Dynamic Correlations: Proposes a non‑Gaussian risk‑parity using expected shortfall with a generalized hyperbolic model to better handle fat tails, reducing turnover and drawdowns in stress.
9 sharesSource ↗
Shows simple Sharpe‑ratio minima/maxima trading rules outperform buy‑and‑hold across six global indices (1998–2023), supporting the Adaptive Market Hypothesis.
8 sharesSource ↗
Disagreement in macro forecasts raises risk premia: consumption disagreement hurts overall stock returns, while productivity disagreement particularly damages small, low-profit firms.
5 sharesSource ↗
Provides closed-form rules for the best benefit payouts and investment choices for a target‑benefit pension fund facing continuous and jump risks to maximize expected utility.
5 sharesSource ↗
Presents a linked-window DEA with “linked DMUs” plus whale optimization to find firms and trading strategies that remain effective and stable over time.
5 sharesSource ↗
Accounting for optimal early exercise, American puts show less negative raw returns but more negative delta‑hedged returns than European puts, changing which option anomalies look profitable.
4 sharesSource ↗
Defines a “sustainable return” (a withdrawal rate that preserves real capital) and shows that return-sequence risk and reinvesting interim cashflows are key for long-term outcomes beyond simple short-period averages.
4 sharesSource ↗
GPT’s news-sentiment scores predict and explain intraday stock volatility better than older classifiers.
6 sharesSource ↗
The J-Plus gamified app collects emotional speech to train better emotion-recognition systems while teaching and motivating users.
4 sharesSource ↗
Firms facing tougher product-market competition are more likely to use zero-debt policies, especially when earnings are volatile.
4 sharesSource ↗
Introduces a mixture-based autoregressive method to split and model complex time series, showing strong results on COVID-19 financial data.
6 sharesSource ↗
Proposes two deep-learning frameworks plus a model-combination approach that improve Value at Risk and Expected Shortfall estimates versus existing models.
6 sharesSource ↗
Finds extreme house-price shocks spread farther than median shocks, with the US acting as the main transmitter and US interest rates predicting spillovers.
5 sharesSource ↗
Shows 10-year Treasury futures volatility best predicts Chinese stock volatility; SPCA and lasso beat HAR and help improve investor returns.
5 sharesSource ↗
SVM vs BERT vs GPT-3.5: Compares SVM, SPECTER, BERT, and GPT-3.5 for classifying abstracts: BERT performs best, while GPT-3.5 is inconsistent with limited training data.
4 sharesSource ↗
Spanish anti-abortion Twitter groups are male-led, show hateful content, and coordinate around religion and right-wing politics.
4 sharesSource ↗
Fashion product demand is hard to predict, but machine learning—especially deep learning and ensembles—can make forecasts more accurate.
4 sharesSource ↗
ML vs DL: During crises, LSTM neural networks predict oil prices better than SVMs, particularly for mid- to long-term forecasts.
4 sharesSource ↗
Machine learning predicts daily VIX more accurately; weekly jobless claims are a key predictor, helping trading and risk management.
12 sharesSource ↗
XGBoost and logistic regression beat LSTM/BiLSTM at forecasting daily stock direction for big Eurozone banks, likely because deep learning needs more data.
7 sharesSource ↗
The Work Need Satisfaction Scale fits EU online gig workers poorly; a shorter 12‑item, 3‑factor version captures their needs better.
2 sharesSource ↗
AI predictive analytics, reinforcement learning) can optimize cloud resource allocation to make DevOps more efficient and resilient.
2 sharesSource ↗
Young Informal EU Workers: Eurobarometer data profiles young informal workers across the EU27, providing a pre‑pandemic baseline of their activities and reasons for undeclared work.
2 sharesSource ↗
Egovernance now boosts citizen participation with advanced digital systems but depends on technology, trust, and law.
2 sharesSource ↗
Manipulative designs on investment platforms hurt retail investors; use behavioral science and AI to improve regulation.
1 sharesSource ↗
Drivers & Future Directions: Review summarizes factors affecting bank performance and calls for more research on COVID‑19, digital transformation, and FinTech.
1 sharesSource ↗
AI capability raises firm performance, helped by a data-driven culture and supported by AI infrastructure.
1 sharesSource ↗
Policy Lessons: Machine learning on social media identifies key climate topics and urges coordinated policies to reach net‑zero.
1 sharesSource ↗
The general machine-learning papers the letter carried in 2023-25.
10 items
QLASS: creates step-by-step Q-value labels to guide language agents, improving their decisions even with little data.
202 shares19 citations todaySource ↗
Platinum-benchmarks: fixes mislabeled test data to better measure model reliability and shows top LLMs still fail simple tasks.
73 shares54 citations todaySource ↗
Low-Cost Humanoid: ToddlerBot: an open-source humanoid robot you can build for under $6,000 to collect data and learn policies that transfer from sim to real.
48 shares21 citations todaySource ↗
MAETok: uses masked autoencoding to clean up diffusion latents, making high-resolution image generation faster and sharper.
38 shares94 citations todaySource ↗
UAEval4RAG: generates tricky unanswerable queries to test whether RAG systems correctly refuse to answer, revealing key trade-offs.
30 shares10 citations todaySource ↗
3D Gaussian: NutWorld: Converts single-camera videos into compact, time-consistent 3D Gaussian scenes for high-quality, real-time reconstruction.
30 shares8 citations todaySource ↗
Unsupervised Agents: NNetNav: Auto-generates labeled browser interaction demos by breaking down instructions, letting unsupervised agents far outperform zero-shot baselines.
29 shares57 citations todaySource ↗
Best-First LLM Prover: BFSProver: Makes best-first search effective for theorem proving using expert filtering, learned preferences, and length normalization to reach state-of-the-art results.
28 shares92 citations todaySource ↗
Analysis & Implications: DeepSeekR1 report: Describes a low-cost Chinese reasoning model competitive with OpenAI’s, built with MoE, reinforcement learning, and engineering tricks, and discusses their implications.
26 shares43 citations todaySource ↗
Dynamics & Hyperparameter Transfer: Theory paper: Explains gradient descent in wide deep linear networks—why wider models train better, how hyperparameters transfer with width, and how residual scaling yields infinite-depth limits.
24 shares17 citations todaySource ↗
Papers that shipped their code, from the Papers with Code feed (2023-25).
5 items
DeepAgent — an end-to-end agent that finds and uses tools on its own and compresses long interaction histories so it solves complex, long-horizon tasks better.
77 shares
LightMem — a lightweight three-stage memory that filters, groups, and consolidates past interactions to improve LLM accuracy while greatly cutting token, API, and runtime costs.
66 shares
DeepAnalyze8B: an 8B-parameter model trained progressively to run full data-science pipelines and produce analyst-quality research reports.
58 shares
PBSAttn: rearranges attention into block-sparse patterns to speed long-context LLM processing while keeping accuracy close to full attention.
16 shares
EnterpriseDeepResearch (EDR): a multiagent system that plans, searches, uses tools, visualizes results, and reflects to automatically produce high-quality enterprise research reports.
11 shares
Repositories the letter featured.
9 items
An open, free database that lists and describes AI models.
1,274 shares
Personal AI Notebooks organize your files and web pages and auto-generate notes, with local/open-source options.
1,679 shares
A fast technique to make search results more diverse so they cover more topics.
350 shares
DeepAnalyze is an autonomous AI that runs data‑science tasks by itself.
701 shares
ValueCell — a community-built multiagent platform for running financial applications and automated trading agents.
1,478 shares
Scmd — a command-line tool to manage S3-compatible storage (like Amazon S3) and CloudFront.
4,800 shares
BlindInvisible Watermark — an image watermarking tool that can extract watermarks without needing the original image.
10,187 shares
Public Skills repository — a shared collection of reusable “Skills” (ready-to-use components) for developers to use and contribute.
9,121 shares
Curated Claude Skills — a handpicked list of prebuilt Skills you can add to the Claude AI assistant to extend its abilities.
1,570 shares
Industry news: funds, hiring, markets and regulation.
18 items
Big institutions are wary of crypto hedge funds, saying the operational risks outweigh the rewards.
4 shares
Balyasny added four traders to its Asia macro team under Ron Choy, who joined this year with a reported pay package up to $30M.
3 shares
Nickel Digital is shifting to allocate more to global trading teams to try to lift investor returns.
3 shares
London activist Palliser Capital bought a stake in LG Chem and is pushing the company to correct what it calls heavy undervaluation.
3 shares
An MD was promoted and then left to join a hedge fund within two years.
3 shares
Quant-driven hedge funds hit their worst month since July after crowded trades suddenly reversed.
2 shares
Man Group must decide whether to stick with its quantitative focus or diversify into other strategies.
2 shares
Dubai regulator cleared Magellan Capital after a months-long investigation, the firm said.
2 shares
RTX Fintech & Research appointed André Léger as Chief Product Officer and Head of Markets for Asia.
2 shares
Ace Digital will launch a NOK5m Bitcoin fund for professional investors by end-2025 after buying Ace Funds AS.
2 shares
Citadel wants tech hires with strong coding, problem-solving, quick learning, teamwork, and high drive.
1 shares
An article proposes a new payroll method—real-time/on-demand pay—that could one day become the norm.
1 shares
The Bank of England will speed up publishing its quarterly meeting minutes to avoid insiders getting a policy advantage.
1 shares
Investors planned slightly fewer hedge-fund withdrawals in October as the redemption indicator dropped from 2.21 to 1.86.
1 shares
Hidden Road is quietly expanding and hiring new employees.
1 shares
Market-making roles are moving away from traditional banks to other types of firms.
1 shares
A young London crypto hedge-fund manager is recruiting more talent to grow the team.
1 shares
A senior technologist outlines why hiring is currently paused at the moment.
0 shares
Episodes on markets, quant methods and economics.
10 items
Vlad Johnson: systematic futures trading uses data, tech, and AI to find patterns — but only if the data quality is strong.
8 shares
KraneShares’ CLIP ETF: sells covered calls on Chinese tech to generate monthly income and add portfolio diversification.
6 shares
Ben Hoff: commodities combine physical supply chains and finance — storage/transport buffer prices until disruptions cause sudden volatility.
6 shares
ETF exchange: lets investors swap large appreciated stock positions into a new ETF at launch to defer immediate capital gains taxes.
6 shares
Alan Waxman: staying flexible and adapting strategies helps uncover opportunities in alternative investments.
4 shares
Igor Halperin: He describes moving from the Soviet Union to physics and quant finance, why physicists become quants, LLM impacts, and offers career tips.
4 shares
Ayah Habboub: She argues that growth strategies designed without assuming value let investors capture each factor’s unique returns.
4 shares
Geopolitics & Markets: Jacob Shapiro: He hosts a biweekly long-form podcast on geopolitics and global markets.
3 shares
JP Morgan experts: They review recent market moves and explain implications for emerging-market fixed income.
3 shares
Russian crude sanctions: Restrictions on about 70% of Russian oil have raised costs, pushed discounted rerouting to other buyers, and exports should stabilize within a quarter.
3 shares
Posts from quant and economics blogs and newsletters.
6 items
Using a Hamlet analogy, warns that buying naked CDS on Danish government bonds could push up Denmark’s borrowing costs.
3 shares
A junior quant researcher describes their role on a central team at a New York multimanager hedge fund that builds and trades the firm’s own strategies.
3 shares
Argues that, despite daily rebalancing concerns, holding triple‑leveraged ETFs can sometimes be a viable long‑term strategy.
3 shares
A pre-2026 thread collecting speculative ranking discussion that will be turned into the official commentary after results.
1 shares
Explains the MAR Ratio (return ÷ max drawdown) as a simple way to see how well an investment balances return and risk.
0 shares
Short YouTube video that visually shows the MAR Ratio and why it matters for evaluating investments.
0 shares
Posts from quant researchers on X.
2 items
- Highlights - Key Findings - Findings - Key Insights - Takeaways - Insights - Research Briefs - Quick Finds: This week's recap highlights research showing stronger crypto–stock links, ideas for adding portable alpha, the risks and returns of same‑day (0DTE) NDX straddle trades, evidence many stocks are mispriced, and a short list of top industry blogs and podcasts.
4 shares
- Stop Losses, Not Returns - Cut Drawdowns, Keep Returns - Stops Cut Drawdowns - Protect Returns, Cut Drawdowns - Stops Preserve Returns - Lower Drawdowns, Keep Returns: Stoplosses usually don't increase average or risk-adjusted returns, but they do cut big losses and make returns more stable by reducing extreme downside outcomes.
1 shares
Threads from r/quant, r/algotrading and friends.
9 items
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126 shares