Tootfinder

Senate Finance cuts doctor pay raises from Trump tax bill | STAT
https://www.statnews.com/2025/06/17/senate-finance-trump-tax-bill-republicans-remove-medicare-pay-raises-for-doctors/?utm_campaign=rss

Missouri governor signs package to help finance Chiefs, Royals stadium projects https://www.nytimes.com/athletic/6432303/2025/06/17/kansas-city-chiefs-royals-stadium-projects/

AI-powered virtual physical therapy startup Sword Health raised $40M led by General Catalyst at a $4B valuation, up from its $3B valuation from June 2024 (Marina Temkin/TechCrunch)
https://techcrunch.com/2025/06/17/sword-h…

Sword Health nabs $40M at $4B valuation, pushes IPO plans to at least 2028 | TechCrunch
The digital health startup says it secured the fresh capital to update its valuation and finance acquisitions.

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

Collaborative Editable Model
Kaiwen Tang, Aitong Wu, Yao Lu, Guangda Sun
https://arxiv.org/abs/2506.14146 https://arxiv.org/pdf/2506.…

Collaborative Editable Model
Vertical-domain large language models (LLMs) play a crucial role in specialized scenarios such as finance, healthcare, and law; however, their training often relies on large-scale annotated data and substantial computational resources, impeding rapid development and continuous iteration. To address these challenges, we introduce the Collaborative Editable Model (CoEM), which constructs a candidate knowledge pool from user-contributed domain snippets, leverages interactive user-model dialogues c…

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
SimLOB: Learning Representations of Limited Order Book for Financial Market Simulation

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Bram Adams, Ahmed E. Hassan
https://arxiv.org/abs/2506.13538

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
Although Foundation Models (FMs), such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models' real-world interaction. To address this, FM providers introduced tool calling-triggering a proliferation of frameworks with distinct tool interfaces. In late 2024, Anthropic introduced the Model Context Protocol (MCP) to standardize this tool ecosystem, which has become the de facto standard with over eight million weekly SD…

Walmart and Amazon Are Exploring Issuing Their Own Stablecoins (Wall Street Journal)
https://www.wsj.com/finance/banking/walmart-amazon-stablecoin-07de2fdd?st=ezVFpp&reflink=article_copyURL_share
http://www.memeorandum.com/250613/p123#a250613p123

Replaced article(s) found for q-fin.CP. https://arxiv.org/list/q-fin.CP/new
[1/1]:
Operator Deep Smoothing for Implied Volatility
https://

Replaced article(s) found for q-fin.TR. https://arxiv.org/list/q-fin.TR/new
[1/1]:
LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data

Replaced article(s) found for q-fin.GN. https://arxiv.org/list/q-fin.GN/new
[1/1]:
The behavior of stock market prices throughout the episodes of capital inflows

Replaced article(s) found for q-fin.MF. https://arxiv.org/list/q-fin.MF/new
[1/1]:
Crypto Inverse-Power Options and Fractional Stochastic Volatility

Finance Friends
Great Australian Pods Podcast Directory: #GreatAusPods

Finance Friends | Great Australian Pods Podcast Directory
Podcast: Finance Friends Host: Fabian Ruggieri Category: Business Sub-Category: Finance & Investing First Episode: 2024 Imagine getting insider knowledge from industry leaders every week.

[2025-06-17 Tue (UTC), no new articles found for q-fin.ST Statistical Finance]
toXiv_bot_toot

"La prochaine crise n’est pas inévitable – elle sera le résultat de choix. Nos décideurs politiques peuvent décider de résister au lobby financier et renforcer les garde-fous, ou bien répéter les erreurs de 2008."
#dérégulation #finance

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

IDOL: Improved Different Optimization Levels Testing for Solidity Compilers
Lantian Li, Yejian Liang, Zhongxing Yu
https://arxiv.org/abs/2506.12760 https:/…

IDOL: Improved Different Optimization Levels Testing for Solidity Compilers
As blockchain technology continues to evolve and mature, smart contracts have become a key driving force behind the digitization and automation of transactions. Smart contracts greatly simplify and refine the traditional business transaction processes, and thus have had a profound impact on various industries such as finance and supply chain management. However, because smart contracts cannot be modified once deployed, any vulnerabilities or design flaws within the contract cannot be easily fix…

Sources: Disney is laying off several hundred employees globally across multiple teams, including TV and film (Todd Spangler/Variety)
https://variety.com/2025/tv/news/disney-mass-layoffs-tv-film-finance-departments-1236415786/

Disney Mass Layoffs Cut Across TV, Film, Finance and Other Departments
Disney is laying off several hundred employees globally across multiple teams.

Sources: Walmart, Amazon, and Expedia have recently explored issuing or using stablecoins in the US to potentially save fees from cash and card transactions (Wall Street Journal)
https://www.wsj.com/finance/banking/walmart-amazon-stablecoin-07de2fdd…

[2025-06-17 Tue (UTC), 5 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

That… is quite a number. I wonder what the return on that investment will look like?
https://finance.yahoo.com/news/how-nvidia-played-a-central-role-in-the-306-billion-ai-startup-boom-195741749.html

How Nvidia 'played a central role' in the $306 billion AI startup boom
Nvidia's AI chips laid the groundwork for a massive wave of investment in artificial intelligence.

[2025-06-17 Tue (UTC), no new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

[2025-06-18 Wed (UTC), 4 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

[2025-06-17 Tue (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot

[2025-06-17 Tue (UTC), no new articles found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

"‘We don’t need a disaster to justify resilience’: Climate projects can bring big economic benefits"
#Climate #ClimateChange #Finance

How climate resilience projects are paying off around the world
The 320 climate projects analysed were found to have potential yields of about €1 trillion in projected returns over a decade.

If you think AI is more about human flourishing than advertising, just look at Zuckerberg's latest earnings call: "AI will make advertising a meaningfully larger share of global GDP than it is today"
https://finance.yahoo.com/news/the-ai-

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
Xuan Xu, Fufang Wen, Beilin Chu, Zhibing Fu, Qinhong Lin, Jiaqi Liu, Binjie Fei, Zhongliang Yang, Linna Zhou, Yu Li
https://arxiv.org/abs/2506.06335

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
In natural language processing (NLP), the focus has shifted from encoder-only tiny language models like BERT to decoder-only large language models(LLMs) such as GPT-3. However, LLMs' practical application in the financial sector has revealed three limitations: (1) LLMs often perform worse than fine-tuned BERT on discriminative tasks despite costing much higher computational resources, such as market sentiment analysis in financial reports; (2) Application on generative tasks heavily relies on r…

Anomaly Detection and Generation with Diffusion Models: A Survey
Yang Liu, Jing Liu, Chengfang Li, Rui Xi, Wenchao Li, Liang Cao, Jin Wang, Laurence T. Yang, Junsong Yuan, Wei Zhou
https://arxiv.org/abs/2506.09368

Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns that deviate from established norms in real-world data. Recent advancements in deep learning, specifically diffusion models (DMs), have sparked significant interest due to their ability to learn complex data distributions and generate high-fidelity samples, offering a robust framework for unsupervised AD. In this surve…

Trump, like all dictators, want Americans gullible, inexperienced & uneducated so it's easier for him to deceive & manipulate people.
Universities are the enemy of fascism.
☑️ University of California Is Next Target of Trump’s Antisemitism Probe
https://finance…

University of California Is Next Target of Trump’s Antisemitism Probe
(Bloomberg) -- President Donald Trump’s administration vowed to expand its probes on college campuses beyond Ivy League institutions to other schools...

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Songze Li, Mingxuan Zhang, Oubo Ma, Kang Wei, Shouling Ji
https://arxiv.org/abs/2506.09562

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved remarkable success in a wide range of sequential decision-making domains, including robotics, healthcare, smart grids, and finance. Recent research demonstrates that attackers can efficiently exploit system vulnerabilities during the training phase to execute backdoor attacks, producing malicious actions when specific trigger patterns are present in the state observations. However, most existing backdoor attacks rely primarily on simplistic and heu…

[2025-06-16 Mon (UTC), no new articles found for q-fin.ST Statistical Finance]
toXiv_bot_toot

The UK Financial Conduct Authority partners with Nvidia to launch a Supercharged Sandbox for financial companies to test AI tools, starting in October 2025 (Sam Tabahriti/Reuters)
https://www.reuters.com/business/finance/u

🚗 In #Frankreich brechen die Verkäufe von #Tesla im Mai um 67 % ein.
Es gab nur 721 #Neuzulassungen, so wenige wie seit fast drei Jahren nicht mehr. Trotz neuem Model Y und gegenteiliger …

Tesla Sales Plunge 67% to an Almost Three-Year Low in France
(Bloomberg) -- Tesla Inc.’s new-vehicle registrations fell further in France, undercutting Chief Executive Officer Elon Musk’s assertion last month that the ...

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
Level set-based inverse homogenisation of three-dimensional piezoelectric materials

On the Weak Error for Local Stochastic Volatility Models
Peter K. Friz, Benjamin Jourdain, Thomas Wagenhofer, Alexandre Zhou
https://arxiv.org/abs/2506.10817

On the Weak Error for Local Stochastic Volatility Models
Local stochastic volatility refers to a popular model class in applied mathematical finance that allows for "calibration-on-the-fly", typically via a particle method, derived from a formal McKean-Vlasov equation. Well-posedness of this limit is a well-known problem in the field; the general case is largely open, despite recent progress in Markovian situations. Our take is to start with a well-defined Euler approximation to the formal McKean-Vlasov equation, followed by a newly established hal…

Public Service Announcement: If you've worked in the UK, and you've changed the UK number that you use for accessing Gov.UK services, it is impossible to restore access because the default recovery workflow requires UK-issued photo ids: either a UK passport, or a UK driving license, are mandatory, even if you never had one or provided one in the first place.
Happily enough, as long as you keep your National Insurance Number, you can create a new Gateway ID, but this time follow…

the3million | Proving identity on Government websites with a non-UK passport | Giving a voice to EU citizens in the UK
HMRC, DWP and other government services have changed the way in which people sign in to access these services. This is a step-by-step guide for EU citizens and other non-UK passport holders to be able to access the Government Gateway, to see your tax records, pension records and other finance information, even if you do not have a British passport.

This https://arxiv.org/abs/2410.08850 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Optimal stopping is a fundamental problem in optimization with applications in risk management, finance, robotics, and machine learning. We extend the standard framework to a multi-agent setting, named multi-agent optimal stopping (MAOS), where agents cooperate to make optimal stopping decisions in a finite-space, discrete-time environment. Since solving MAOS becomes computationally prohibitive as the number of agents is very large, we study the mean-field optimal stopping (MFOS) problem, obtai…

How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP)
Manuel Cano-Rodriguez
https://arxiv.org/abs/2506.09915

How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP)
Conformity with Benford's Law is widely used to detect irregularities in numerical datasets, particularly in accounting, finance, and economics. However, the statistical tools commonly used for this purpose (such as Chi-squared, MAD, or KS) suffer from three key limitations: sensitivity to sample size, lack of interpretability of their scale, and the absence of a common metric that allows for comparison across different statistics. This paper introduces the Equivalent Contamination Proportion (…

This https://arxiv.org/abs/2406.12417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Fees in AMMs: A quantitative study
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called 'informed orderflow'. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we…

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
Egil Diau
https://arxiv.org/abs/2506.00099 https://

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
A central challenge in economics and artificial intelligence is explaining how financial behaviors-such as credit, insurance, and trade-emerge from decentralized social interaction. We argue that these functions are not institutionally engineered, but arise from a single behavioral substrate: reciprocity. Observed across primates and foundational to early human societies, reciprocity governed the exchange of goods, regulation of obligation, and maintenance of cooperation-without formal rules. T…

Understanding the Error Sensitivity of Privacy-Aware Computing
Mat\'ias Mazzanti (University of Buenos Aires), Esteban Mocskos (University of Buenos Aires), Augusto Vega (IBM T. J. Watson Research Center), Pradip Bose (IBM T. J. Watson Research Center)
https://arxiv.org/abs/2506.07957

Understanding the Error Sensitivity of Privacy-Aware Computing
Homomorphic Encryption (HE) enables secure computation on encrypted data without decryption, allowing a great opportunity for privacy-preserving computation. In particular, domains such as healthcare, finance, and government, where data privacy and security are of utmost importance, can benefit from HE by enabling third-party computation and services on sensitive data. In other words, HE constitutes the "Holy Grail" of cryptography: data remains encrypted all the time, being protected while in …

[2025-05-16 Fri (UTC), 1 new article found for q-fin.CP Computational Finance]
#toXiv_bot_toot

Walmart's Flipkart secures a lending license from the RBI, letting the e-commerce company offer loans directly to Indian customers and sellers on its platform (Ashwin Manikandan/Reuters)
https://www.reuters.com/business/finance/w

Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
The Tien Mai
https://arxiv.org/abs/2506.07790 https:…

Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
High-dimensional linear regression is a fundamental tool in modern statistics, particularly when the number of predictors exceeds the sample size. The classical Lasso, which relies on the squared loss, performs well under Gaussian noise assumptions but often deteriorates in the presence of heavy-tailed errors or outliers commonly encountered in real data applications such as genomics, finance, and signal processing. To address these challenges, we propose a novel robust regression method, terme…

[2025-05-16 Fri (UTC), 1 new article found for q-fin.GN General Finance]
#toXiv_bot_toot

[2025-06-16 Mon (UTC), 1 new article found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

[2025-06-16 Mon (UTC), 2 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

This https://arxiv.org/abs/2404.03976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

A theoretical framework for fees in AMMs
In the ever evolving landscape of decentralized finance automated market makers (AMMs) play a key role: they provide a market place for trading assets in a decentralized manner. For so-called bluechip pairs, arbitrage activity provides a major part of the revenue generation of AMMs but also a major source of loss due to the so-called informed orderflow. Finding ways to minimize those losses while still keeping uninformed trading activity alive is a major problem in the field. In this paper we w…

[2025-06-16 Mon (UTC), no new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…

AI Data Development: A Scorecard for the System Card Framework
Tadesse K. Bahiru, Haileleol Tibebu, Ioannis A. Kakadiaris
https://arxiv.org/abs/2506.02071 …

AI Data Development: A Scorecard for the System Card Framework
Artificial intelligence has transformed numerous industries, from healthcare to finance, enhancing decision-making through automated systems. However, the reliability of these systems is mainly dependent on the quality of the underlying datasets, raising ongoing concerns about transparency, accountability, and potential biases. This paper introduces a scorecard designed to evaluate the development of AI datasets, focusing on five key areas from the system card framework data development life cy…

[2025-06-16 Mon (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

I bet a lot of folks (especially on the tech side) have just stopped paying attention to crypto, which is perfectly sane because we all know that it’s bad technology. On the other hand, the finance sector, with MAGA cheerleading, is still wildly enthusiastic. See https://newsletterhunt.com/emails/1894

UK neobank Monzo reports FY 2025 revenue up 48% YoY to £1.2B, a £60.5M pre-tax profit, up from £13.9M in FY 2024, deposits up 48% YoY to £16.6B, and 12M users (Yadarisa Shabong/Reuters)
https://www.reuters.com/business/finance/b

Price Discovery in Cryptocurrency Markets
Juan Plazuelo Pascual, Carlos Tardon Rubio, Juan Toro Cebada, Angel Hernando Veciana
https://arxiv.org/abs/2506.08718

Price Discovery in Cryptocurrency Markets
This document analyzes price discovery in cryptocurrency markets by comparing centralized and decentralized exchanges, as well as spot and futures markets. The study focuses first on Ethereum (ETH) and then applies a similar approach to Bitcoin (BTC). Chapter 1 outlines the theoretical framework, emphasizing the structural differences between centralized exchanges and decentralized finance mechanisms, especially Automated Market Makers (AMMs). It also explains how to construct an order book fro…

Choices or constraints: decoding financial empowerment among women entrepreneurs in France
Jonathan Labb\'e (CEREFIGE, IAE Nancy, UL), Typhaine Leb\`egue (VALLOREM, UT), Abdel Malik Ola (VALLOREM, UT)
https://arxiv.org/abs/2505.10064

Choices or constraints: decoding financial empowerment among women entrepreneurs in France
This research examines the empowerment of women entrepreneurs in the context of entrepreneurial financing in France. It explores the factors that allow some women entrepreneurs to access certain categories of external finance more easily. The theoretical framework used is based on the concept of empowerment, explored through its personal and relational dimensions. The study relies on a quantitative approach, using data from a representative of women entrepreneurs. The results show that the stat…

Ethical AI: Towards Defining a Collective Evaluation Framework
Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel
https://arxiv.org/abs/2506.00233 https://…

Ethical AI: Towards Defining a Collective Evaluation Framework
Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Issues like opaque decision-making, misleading outputs, and unfair treatment in high-stakes domains underscore the need for transparent and accountable AI systems. This article addresses these challenges by proposing a modular ethical assess…

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Shriphani Palakodety
https://arxiv.org/abs/2506.02027 https://

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Many identity systems assign a single, static identifier to an individual for life, reused across domains like healthcare, finance, and education. These Universal Lifelong Identifiers (ULIs) underpin critical workflows but now pose systemic privacy risks. We take the position that ULIs are fundamentally incompatible with the AI era and must be phased out. We articulate a threat model grounded in modern AI capabilities and show that traditional safeguards such as redaction, consent, and access c…

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

This https://arxiv.org/abs/2506.03780 has been replaced.
link: https://scholar.google.com/scholar?q=a

High-Dimensional Learning in Finance
Recent advances in machine learning have shown promising results for financial prediction using large, over-parameterized models. This paper provides theoretical foundations and empirical validation for understanding when and how these methods achieve predictive success. I examine three key aspects of high-dimensional learning in finance. First, I prove that within-sample standardization in Random Fourier Features implementations fundamentally alters the underlying Gaussian kernel approximation…

The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
Jiang Hu, Jiahui Xie, Yangchun Zhang, Wang Zhou
https://arxiv.org/abs/2506.05116

The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
Factor models are essential tools for analyzing high-dimensional data, particularly in economics and finance. However, standard methods for determining the number of factors often overestimate the true number when data exhibit heavy-tailed randomness, misinterpreting noise-induced outliers as genuine factors. This paper addresses this challenge within the framework of Elliptical Factor Models (EFM), which accommodate both heavy tails and potential non-linear dependencies common in real-world da…

[2025-05-15 Thu (UTC), no new articles found for q-fin.GN General Finance]
#toXiv_bot_toot

[2025-06-13 Fri (UTC), 4 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation
Zonghan Wu, Junlin Wang, Congyuan Zou, Chenhan Wang, Yilei Shao
https://arxiv.org/abs/2506.07315

Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation
Generative AI, particularly large language models (LLMs), is beginning to transform the financial industry by automating tasks and helping to make sense of complex financial information. One especially promising use case is the automatic creation of fundamental analysis reports, which are essential for making informed investment decisions, evaluating credit risks, guiding corporate mergers, etc. While LLMs attempt to generate these reports from a single prompt, the risks of inaccuracy are signi…

sa_companies: South African companies (1919)
A bipartite network of the affiliations between a small group of individuals and five important companies in South African finance, around 1919.
This network has 11 nodes and 13 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/sa_comp

[2025-06-13 Fri (UTC), 1 new article found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

Thoma Bravo raised $34.4B across three funds, including $24.3B for its main software company buyout fund and $8.1B for its midsize software-focused fund (Miriam Gottfried/Wall Street Journal)
https://www.

[2025-06-13 Fri (UTC), no new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

This https://arxiv.org/abs/2502.11191 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Large Language Models (LLMs) have shown remarkable advancements in specialized fields such as finance, law, and medicine. However, in cybersecurity, we have noticed a lack of open-source datasets, with a particular lack of high-quality cybersecurity pretraining corpora, even though much research indicates that LLMs acquire their knowledge during pretraining. To address this, we present a comprehensive suite of datasets covering all major training stages, including pretraining, instruction fine-…

[2025-06-12 Thu (UTC), 4 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

[2025-05-14 Wed (UTC), no new articles found for q-fin.GN General Finance]
#toXiv_bot_toot

[2025-06-13 Fri (UTC), no new articles found for q-fin.ST Statistical Finance]
toXiv_bot_toot

[2025-06-12 Thu (UTC), 1 new article found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

[2025-06-12 Thu (UTC), no new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

[2025-06-11 Wed (UTC), 2 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

[2025-05-13 Tue (UTC), no new articles found for q-fin.GN General Finance]
#toXiv_bot_toot

[2025-06-12 Thu (UTC), 1 new article found for q-fin.ST Statistical Finance]
toXiv_bot_toot

[2025-06-11 Wed (UTC), 1 new article found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

[2025-06-11 Wed (UTC), no new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat (Barclays), Ariye Shater (Barclays)
https://arxiv.org/abs/2505.24650 https://

Beyond the Black Box: Interpretability of LLMs in Finance
Large Language Models (LLMs) exhibit remarkable capabilities across a spectrum of tasks in financial services, including report generation, chatbots, sentiment analysis, regulatory compliance, investment advisory, financial knowledge retrieval, and summarization. However, their intrinsic complexity and lack of transparency pose significant challenges, especially in the highly regulated financial sector, where interpretability, fairness, and accountability are critical. As far as we are aware, t…

[2025-06-13 Fri (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot

[2025-06-10 Tue (UTC), 2 new articles found for cs.CE Computational Engineering, Finance, and Science]
toXiv_bot_toot

[2025-06-11 Wed (UTC), 1 new article found for q-fin.ST Statistical Finance]
toXiv_bot_toot

[2025-06-10 Tue (UTC), 1 new article found for q-fin.MF Mathematical Finance]
toXiv_bot_toot

[2025-06-10 Tue (UTC), 2 new articles found for q-fin.CP Computational Finance]
toXiv_bot_toot

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
Md. Yeasin Rahat, Rajan Das Gupta, Nur Raisa Rahman, Sudipto Roy Pritom, Samiur Rahman Shakir, Md Imrul Hasan Showmick, Md. Jakir Hossen
https://arxiv.org/abs/2506.09851

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
The prediction of foreign exchange rates, such as the US Dollar (USD) to Bangladeshi Taka (BDT), plays a pivotal role in global financial markets, influencing trade, investments, and economic stability. This study leverages historical USD/BDT exchange rate data from 2018 to 2023, sourced from Yahoo Finance, to develop advanced machine learning models for accurate forecasting. A Long Short-Term Memory (LSTM) neural network is employed, achieving an exceptional accuracy of 99.449%, a Root Mean Sq…

[2025-05-12 Mon (UTC), no new articles found for q-fin.GN General Finance]
#toXiv_bot_toot

[2025-06-09 Mon (UTC), 1 new article found for cs.CE Computational Engineering, Finance, and Science]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

[2025-06-12 Thu (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling
Hans Buehler, Blanka Horvath, Yannick Limmer, Thorsten Schmidt
https://arxiv.org/abs/2506.07299

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling
This paper addresses the challenge of model uncertainty in quantitative finance, where decisions in portfolio allocation, derivative pricing, and risk management rely on estimating stochastic models from limited data. In practice, the unavailability of the true probability measure forces reliance on an empirical approximation, and even small misestimations can lead to significant deviations in decision quality. Building on the framework of Klibanoff et al. (2005), we enhance the conventional ob…

[2025-06-10 Tue (UTC), 7 new articles found for q-fin.ST Statistical Finance]
toXiv_bot_toot

[2025-06-09 Mon (UTC), no new articles found for q-fin.CP Computational Finance]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

[2025-06-11 Wed (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot

[2025-06-09 Mon (UTC), 1 new article found for q-fin.ST Statistical Finance]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

[2025-06-06 Fri (UTC), 4 new articles found for cs.CE Computational Engineering, Finance, and Science]
#toXiv_bot_toot

This https://arxiv.org/abs/2502.15865 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk
Standard benchmarks fixate on how well large language model (LLM) agents perform in finance, yet say little about whether they are safe to deploy. We argue that accuracy metrics and return-based scores provide an illusion of reliability, overlooking vulnerabilities such as hallucinated facts, stale data, and adversarial prompt manipulation. We take a firm position: financial LLM agents should be evaluated first and foremost on their risk profile, not on their point-estimate performance. Drawing…

[2025-06-05 Thu (UTC), 2 new articles found for cs.CE Computational Engineering, Finance, and Science]
#toXiv_bot_toot

[2025-06-10 Tue (UTC), no new articles found for q-fin.GN General Finance]
toXiv_bot_toot