--- title: Quant Letter No. 130: April 2026, Week 3 url: https://www.ml-quant.com/issues/2026-04-16/ site: ML-Quant (https://www.ml-quant.com) updated: 2026-09-26 license: Summaries CC BY 4.0; links go to the original sources index: https://www.ml-quant.com/llms.txt issue_date: 2026-04-16 --- # Quant Letter No. 130: April 2026, Week 3 Sent 2026-04-16. 53 items. ## arXiv ### Finance - __[Lambda Rényi Value-at-Risk: A New Measure](https://arxiv.org/abs/2604.10657v1)__: A New Measure: The article introduces the Lambda extension of Rényi entropic value-at-risk (Λ-EVaR), a new risk measure designed for better risk management by allowing adjustable confidence levels and sensitivity to higher moments. (2026-04-12, shares: 0) · https://www.ml-quant.com/papers/arxiv/2604.10657/ ### Historical Trending - __[AI Agents in Finance](https://arxiv.org/abs/2603.13942v2)__: Recent AI advancements are enhancing financial automation by creating integrated systems that use autonomous agents for better decision-making and processing, highlighting the need for effective agent governance. (2026-03-14, shares: 1) · https://www.ml-quant.com/papers/arxiv/2603.13942/ - __[Causal PDE-Control for Portfolio Optimization](https://arxiv.org/abs/2509.09585v3)__: Causal PDE-Control Models (CPCMs) offer a strong and clear framework for portfolio allocation that combines causal factors and complex filtering, outperforming standard econometric and machine-learning techniques. (2025-09-11, shares: 1) · https://www.ml-quant.com/papers/arxiv/2509.09585/ - __[Meanfield Models in Insurance](https://arxiv.org/abs/2511.04198v2)__: A mean-field model simplifies complex insurance liabilities into manageable solutions, showing that large groups of interdependent individuals can be effectively analyzed in both life and non-life insurance scenarios. (2025-11-06, shares: 0) · https://www.ml-quant.com/papers/arxiv/2511.04198/ - __[Software Skills through Digital Traces](https://arxiv.org/abs/2504.03581v2)__: Python is helping software programmers develop important skills through a more structured learning process due to recent tech changes. (2025-04-04, shares: 0) · https://www.ml-quant.com/papers/arxiv/2504.03581/ - __[Automating Customer Needs with LLMs](https://arxiv.org/abs/2503.01870v2)__: Large Language Models are streamlining the process of identifying customer needs, letting analysts concentrate on more valuable work while still delivering precise insights. (2025-02-25, shares: 0) · https://www.ml-quant.com/papers/arxiv/2503.01870/ - __[Impact of Remote Work on EU Development](https://arxiv.org/abs/2604.08252v1)__: Remote work after the pandemic is causing people to move within cities for better quality of life, rather than relocating to rural areas. (2026-04-09, shares: 0) · https://www.ml-quant.com/papers/arxiv/2604.08252/ ## RePEc ### Historical Trending - __[VIX Prediction with ML](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2439458%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A12%3Ap%3A1857-1873)__: Machine learning improves predictions of the VIX by highlighting the impact of weekly jobless claims on market volatility. (2024-09-05, shares: 12) · https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-12-p-1857-1873/ - __[KSE0 Portfolio Optimization](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs43069-025-00421-4%3Bh%3Drepec%3Aspr%3Asnopef%3Av%3A6%3Ay%3A2025%3Ai%3A1%3Ad%3A10.1007_s43069-025-00421-4)__: The study analyzes asset effects on downturns in the Pakistan Stock Exchange and suggests a portfolio optimization strategy. (2025-07-19, shares: 10) · https://www.ml-quant.com/papers/repec/spr-snopef-v-6-y-2025-i-1-d-10-1007-s43069-025-00421-4/ - __[Automated Trading in Emerging Markets](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1186%2Fs40854-025-00754-3%3Bh%3Drepec%3Aspr%3Afininn%3Av%3A11%3Ay%3A2025%3Ai%3A1%3Ad%3A10.1186_s40854-025-00754-3)__: It addresses challenges for emerging market investors during downturns and presents a new trading system to stabilize portfolios. (2025-02-11, shares: 9) · https://www.ml-quant.com/papers/repec/spr-fininn-v-11-y-2025-i-1-d-10-1186-s40854-025-00754-3/ - __[Risk Parity with Tail Risk](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdoi.org%2F10.1111%2Fjtsa.12792%3Bh%3Drepec%3Abla%3Ajtsera%3Av%3A46%3Ay%3A2025%3Ai%3A2%3Ap%3A353-377)__: The research explores a risk parity portfolio optimization method, showing enhanced performance during market stress using a non-Gaussian approach. (2025-01-07, shares: 9) · https://www.ml-quant.com/papers/repec/bla-jtsera-v-46-y-2025-i-2-p-353-377/ - __[Eurozone Bank Stock Prediction](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.icfm.ro%2FRePEc%2Fvls%2Fvls_pdf%2Fvol28i4p29-42.pdf%3Bh%3Drepec%3Avls%3Afinstu%3Av%3A28%3Ay%3A2024%3Ai%3A4%3Ap%3A29-42)__: Findings reveal that traditional machine learning models better predict stock price direction than deep learning models in the Eurozone banking sector. (2024-10-07, shares: 7) · https://www.ml-quant.com/papers/repec/vls-finstu-v-28-y-2024-i-4-p-29-42/ - __[Sharpe Ratio and Market Efficiency](https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Farchive.conscientiabeam.com%2Findex.php%2F29%2Farticle%2Fview%2F4102%2F8464%3Bh%3Drepec%3Apkp%3Ateafle%3Av%3A12%3Ay%3A2025%3Ai%3A1%3Ap%3A120-142%3Aid%3A4102)__: Sharpe Ratio Minimae and Maximae strategies outperform buy-and-hold investments, confirming the Adaptive Market Hypothesis in global stock indices from 1998 to 2023. (2025-06-24, shares: 8) · https://www.ml-quant.com/papers/repec/pkp-teafle-v-12-y-2025-i-1-p-120-142-id-4102/ - __[News Sentiment in Stock Volatility](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0165176524006086%3Bh%3Drepec%3Aeee%3Aecolet%3Av%3A247%3Ay%3A2025%3Ai%3Ac%3As0165176524006086)__: Accurate news sentiment measurement improves understanding of stock return volatility, with GPT-4 outperforming RavenPack in Dow Jones firms from 2019 to 2023. (2025-02-13, shares: 6) · https://www.ml-quant.com/papers/repec/eee-ecolet-v-247-y-2025-i-c-s0165176524006086/ - __[Finite Mixture Models in Finance](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F01605682.2024.2329156%3Bh%3Drepec%3Ataf%3Atjorxx%3Av%3A76%3Ay%3A2025%3Ai%3A1%3Ap%3A97-110)__: A new machine learning method for analyzing complex time series proves flexible and accurate for financial data, offering an alternative to traditional models during the COVID-19 pandemic. (2025-03-02, shares: 6) · https://www.ml-quant.com/papers/repec/taf-tjorxx-v-76-y-2025-i-1-p-97-110/ - __[ML Approaches to Tail Risk](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0305048324002135%3Bh%3Drepec%3Aeee%3Ajomega%3Av%3A133%3Ay%3A2025%3Ai%3Ac%3As0305048324002135)__: The paper introduces two deep learning frameworks for better estimating Value at Risk and Expected Shortfall, surpassing traditional models and enhancing financial institutions' capital allocation under Basel regulations. (2025-05-19, shares: 6) · https://www.ml-quant.com/papers/repec/eee-jomega-v-133-y-2025-i-c-s0305048324002135/ - __[Consumption Expectations and Risk Premia](https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0165176524006037%3Bh%3Drepec%3Aeee%3Aecolet%3Av%3A247%3Ay%3A2025%3Ai%3Ac%3As0165176524006037)__: Disagreements in macroeconomic expectations influence financial risk premia and stock market returns, as evidenced in a dynamic version of the Fama-French 5 factor model. (2025-09-22, shares: 5) · https://www.ml-quant.com/papers/repec/eee-ecolet-v-247-y-2025-i-c-s0165176524006037/ ## Papers with code ### Trending - __[SkillClaw: Skill Evolution](https://github.com/AMAP-ML/SkillClaw)__: Skill Evolution: SkillClaw enhances multiuser AI systems by leveraging group interactions to strengthen shared abilities. (2026-04-12, shares: 376) - __[ClawGUI: Unified GUI](https://github.com/ZJU-REAL/ClawGUI)__: Unified GUI: ClawGUI is an open-source tool that streamlines the development of GUI agents using unified reinforcement learning across different platforms. (2026-04-15, shares: 367) - __[DDTree: Speculative Decoding](https://github.com/liranringel/ddtree)__: Speculative Decoding: DDTree improves speculative decoding by generating draft trees from data distributions and validating multiple paths at once. (2026-04-15, shares: 200) - __[Strips as Tokens](https://github.com/Xrvitd/SATO)__: SATO introduces a new way to order tokens in transformers that improves mesh generation by preserving edge flow using triangle strip sequences. (2026-04-14, shares: 55) - __[Introspective Consistency](https://github.com/Introspective-Diffusion/I-DLM)__: Introspective Diffusion Language Models enhance autoregressive models by refining their output consistency through advanced decoding and optimized methods. (2026-04-14, shares: 53) - __[HabitatGS Navigation](https://github.com/zju3dv/habitat-gs)__: HabitatGS enhances HabitatSim with 3D Gaussian Splatting for realistic visuals and dynamic avatars, improving AI agent navigation and generalization. (2026-04-15, shares: 46) ### Rising - __[KnowUBench: Mobile Agent Evaluation](https://github.com/ZJU-REAL/KnowU-Bench)__: Mobile Agent Evaluation: KnowUBench assesses how well personalized mobile agents can understand user preferences and provide helpful assistance in real-world graphical user interfaces. (2026-04-10, shares: 46) - __[KnowRL: LLM Reasoning Enhancement](https://github.com/Hasuer/KnowRL)__: LLM Reasoning Enhancement: KnowRL improves the reasoning abilities of language models through a framework that uses reinforcement learning to provide better, guided interactions. (2026-04-15, shares: 41) - __[OnPolicy Distillation in Language Models](https://github.com/thunlp/OPD)__: Effective distillation in large language models depends on matching thought processes between teacher and student models, with teachers needing to impart new skills. (2026-04-15, shares: 35) - __[Parallel Decoding for Diffusion Models](https://github.com/czg1225/DMax)__: DMax introduces a new technique for diffusion language models that reduces mistakes in parallel decoding. (2026-04-10, shares: 34) - __[Autonomous ML with AiScientist](https://github.com/AweAI-Team/AiScientist)__: AiScientist develops a system that boosts long-term machine learning research by improving coordination and project management. (2026-04-15, shares: 33) - __[Benchmarking LLMs for Human Behavior Simulation](https://github.com/icip-cas/OmniBehavior)__: The OmniBehavior benchmark reveals that large language models have difficulty mimicking complex human behaviors due to biases and limited diversity. (2026-04-10, shares: 22) ## GitHub ### Finance - __[Alpha Stock Factors via RL](https://github.com/ICT-FinD-Lab/alphagen)__: The article explores how reinforcement learning can be applied to develop stock prediction factors. (2022-07-05, shares: 1069) - __[Financial Features](https://github.com/YuxinSUN89/quant-ohlcv-feature)__: It compiles 300 features and factors drawn from both research and industry perspectives. (2026-04-09, shares: 72) - __[Feature Engineering for Quant](https://github.com/lucasinglese/oryon)__: The paper outlines effective methods for feature and target engineering, utilizing a Rust core with a Python interface. (2026-03-23, shares: 14) - __[Science Agent Skills](https://github.com/K-Dense-AI/scientific-agent-skills)__: It presents practical skills for agents to improve tasks in research, engineering, finance, and writing. (2025-10-19, shares: 18128) - __[Open Source AI Trading Agent](https://github.com/alsk1992/CloddsBot)__: The article introduces an autonomous open-source AI trading agent capable of trading in various markets and managing risk. (2026-01-26, shares: 159) ### Trending - __[MaalSalan Tool](https://github.com/maaslalani/sheets)__: A terminal tool enables users to manage spreadsheets directly from the command line. (2026-04-01, shares: 1796) - __[JackWener OpenCLI](https://github.com/jackwener/OpenCLI)__: A platform transforms websites or apps into command-line interfaces for easy AI tool integration. (2026-03-14, shares: 14939) - __[MemPalace AI System](https://github.com/MemPalace/mempalace)__: A free, highly effective AI memory system has been tested successfully. (2026-04-05, shares: 42961) - __[Caveman Token Tech](https://github.com/JuliusBrussee/caveman)__: Claude Code is a new skill that minimizes token usage by using simpler language. (2026-04-04, shares: 10369) - __[Small Fish 9M LLM](https://github.com/arman-bd/guppylm)__: A lightweight language model, with 9 million parameters, imitates the speech of a small fish. (2026-03-29, shares: 2145) ## Podcasts ### Quantitative - __[Navigating Chaos](http://localhost:8888/TopTradersUnplugged/ttu-2021/homepage/si395-the-hidden-truth-about-cta-alpha-ft-andrew-beer)__: Andrew and Niels examine how global uncertainties and tech advancements are changing systematic investing and trend following methods. (2026-04-11, shares: 9) - __[Kaplan's Insights](https://alphaexchange.simplecast.com/episodes/vice-chairman-of-goldman-sachs-and-former-president-of-the-dallas-fed-YYGL4v7j)__: Rob Kaplan shares lessons from his time at the Dallas Fed, noting economic changes driven by fiscal policy and larger forces beyond the Fed's reach. (2026-04-13, shares: 6) - __AI in Software Investing__: Alex Rubalcava and Paul Bricault discuss the benefits and hurdles of AI for startups and investors, stressing the importance of quick decision-making in early-stage investments. (2026-04-10, shares: 6) - __[Adapting to Change](http://localhost:8888/TopTradersUnplugged/ttu-2021/homepage/ttu152-where-is-the-open-ft-toby-crabel)__: Toby Crabel reflects on his trading journey, discussing market evolution, shifting momentum trends, and the critical role of execution in trading success. (2026-04-15, shares: 5) - __[Improving DC Outcomes](https://audioboom.com/posts/8890720)__: Lesley-Ann Morgan and Jenny Hazan address the challenge of providing sufficient retirement income in the DC sector, highlighting the role of behavioral science and technology in enhancing outcomes for members. (2026-04-16, shares: 5) ### Related - __[Jim Zelter on AI and Investments](https://traffic.megaphone.fm/GLD7856519704.mp3)__: Jim Zelter highlights global investment prospects and increasing capital spending in his recent interview. (2026-04-16, shares: 4) - __[Wheel Next: Upgrading Python Installs](https://talkpython.fm/episodes/show/544/wheel-next-packaging-peps)__: Upgrading Python Installs: A coalition is creating Wheel Next to enhance Python package installations with hardware-specific builds for improved performance. (2026-04-10, shares: 4) - __[Iran Conflict's Impact on Global Markets](https://traffic.megaphone.fm/GLD6352342939.mp3)__: Dominic Wilson examines how the Iran conflict and US sanctions affect global markets and investment approaches. (2026-04-14, shares: 3) - __[Domer: 18 Years in Political Betting](https://rss.com/podcasts/confessionsmm/2741086)__: 18 Years in Political Betting: Political bettor Domer shares experiences and strategies from his successful career in prediction markets. (2026-04-16, shares: 3) - __[Stock Market Rally: Genuine or Temporary?](https://interactive-brokers-podcast.podbean.com/e/rally-or-mirage-what-s-really-driving-stocks/)__: Genuine or Temporary?: Kevin Davitt discusses the recent equity market rally and its effects on volatility trends and stock performance. (2026-04-15, shares: 3) ## Blogs ### Related - __[Hedging in Strong Markets](https://stockviz.substack.com/p/stay-calm-and-hedge-along)__: Hedging can be expensive and less effective in strong markets, but using a market-neutral strategy has provided much better risk-adjusted returns than not hedging over the past five years. (2026-04-11, shares: 3) ## X / Twitter ### Miscellaneous - __[Investing in Autonomous Driving](https://x.com/carlcarrie/status/2042724714087412097)__: A recent article highlights a link between autonomous driving and autonomous investing, noting that although many asset managers expect generative AI to transform the finance industry, very few have a clear strategy for implementing it. (2026-04-10, shares: 2) ## Reddit ### Quantitative - __[Crypto Quants' Beliefs](https://www.reddit.com/r/quantfinance/comments/1shn7df/do_quants_on_crypto_desks_at_large_firms_actually/)__: (2026-04-10, shares: 26) ### Rising - __[Career Advice](https://www.reddit.com/r/quant/comments/1shslq1/confused_about_my_career_prospects_in_current/)__: (2026-04-10, shares: 29)