Tootfinder

🤑 Zohran Mamdani says Fifa putting profit before fans with World Cup dynamic pricing
https://www.theguardian.com/football/2025/sep/10/zohran-mamdani-interview-fifa-petition-dynamic-pricing-football-weekly

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
Shanyan Lai
https://arxiv.org/abs/2508.19006 https://

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
This study investigates the pretrained RNN attention models with the mainstream attention mechanisms such as additive attention, Luong's three attentions, global self-attention (Self-att) and sliding window sparse attention (Sparse-att) for the empirical asset pricing research on top 420 large-cap US stocks. This is the first paper on the large-scale state-of-the-art (SOTA) attention mechanisms applied in the asset pricing context. They overcome the limitations of the traditional machine learni…

Personalized Pricing Through Strategic User Profiling in Social Networks
Qinqi Lin, Lingjie Duan, Jianwei Huang
https://arxiv.org/abs/2508.17111 https://ar…

Personalized Pricing Through Strategic User Profiling in Social Networks
Traditional user profiling techniques rely on browsing history or purchase records to identify users' willingness to pay. This enables sellers to offer personalized prices to profiled users while charging only a uniform price to non-profiled users. However, the emergence of privacy-enhancing technologies has caused users to actively avoid on-site data tracking. Today, major online sellers have turned to public platforms such as online social networks to better track users' profiles from their p…

This choice of price point undercuts OpenAI and Anthropic ($1 each) but that's still effectively zero.
I am surprised that the obvious numerological pandering isn't pointed out in the article
Google’s ‘Gemini for Government’ offers AI platform to federal agencies for 47 cents | FedScoop

Google’s ‘Gemini for Government’ offers AI platform to federal agencies for 47 cents
The OneGov deal gives Google a pricing edge over competitors like OpenAI and Anthropic, which offer their models for $1 per federal agency.

🤬 Personalized pricing can backfire on companies, says study
#business

Personalized pricing can backfire on companies, says study
Personalized pricing, where merchants adjust prices according to the pile of data about a consumer's willingness to pay, has been criticized for its potential to unfairly drive-up prices for certain customers.

A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
https://fpf.org/blog/a-price-to-pay-u-s-lawmaker-efforts-to-regulate-algorithmic-and-data-driven-pricing/
@…

Xiaomi says surging memory chip prices have raised the cost of making smartphones, after pricing of its new Redmi K90 series disappointed Chinese consumers (Reuters)
https://www.reuters.com/business/media-telec…

Error Propagation in Dynamic Programming: From Stochastic Control to Option Pricing
Andrea Della Vecchia, Damir Filipovi\'c
https://arxiv.org/abs/2509.20239 https://

Error Propagation in Dynamic Programming: From Stochastic Control to Option Pricing
This paper investigates theoretical and methodological foundations for stochastic optimal control (SOC) in discrete time. We start formulating the control problem in a general dynamic programming framework, introducing the mathematical structure needed for a detailed convergence analysis. The associate value function is estimated through a sequence of approximations combining nonparametric regression methods and Monte Carlo subsampling. The regression step is performed within reproducing kernel…

💊 Direct-to-consumer drug pricing could compete with prescription insurance
#drugs

Direct-to-consumer drug pricing could compete with prescription insurance
A new study offers a glimpse at how direct-to-consumer pharmacy pricing could one day present stiff competition to the private prescription drug insurance model, researchers say.

Key fantasy football intel and predictions using player prop lines https://www.nytimes.com/athletic/6575837/2025/08/27/key-fantasy-football-intel-and-predictions-using-player-prop-lines/

Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
Chiara Vercellino, M. Yassine Naghmouchi, Wesley Coelho, Giacomo Vitali, Alberto Scionti, Paolo Viviani, Olivier Terzo, Bartolomeo Montrucchio
https://arxiv.org/abs/2508.18887

Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
This paper introduces Quantum Classical Branch-and-Price (QCBP), a hybrid quantum-classical algorithm for the Vertex Coloring problem on neutral-atom Quantum Processing Units (QPUs). QCBP embeds quantum computation within the classical Branch-and-Price (BP) framework to address three bottlenecks in classical BP algorithms: the computational cost of Pricing Subproblems (PSPs), branching efficiency, and the quality of primal heuristics. It uses quantum-assisted Column Generation (CG) based on Qua…

Key fantasy football intel and predictions using player prop lines https://www.nytimes.com/athletic/6575837/2025/08/27/key-fantasy-football-intel-and-predictions-using-player-prop-lines/

Risk-Neutral Pricing of Random-Expiry Options Using Trinomial Trees
Sebastien Bossu, Michael Grabchak
https://arxiv.org/abs/2508.17014 https://arxiv.org/pd…

Risk-Neutral Pricing of Random-Expiry Options Using Trinomial Trees
Random-expiry options are nontraditional derivative contracts that may expire early based on a random event. We develop a methodology for pricing these options using a trinomial tree, where the middle path is interpreted as early expiry. We establish that this approach is free of arbitrage, derive its continuous-time limit, and show how it may be implemented numerically in an efficient manner.

Unaligned Incentives: Pricing Attacks Against Blockchain Rollups
Stefanos Chaliasos, Conner Swann, Sina Pilehchiha, Nicolas Mohnblatt, Benjamin Livshits, Assimakis Kattis
https://arxiv.org/abs/2509.17126

Unaligned Incentives: Pricing Attacks Against Blockchain Rollups
Rollups have become the de facto scalability solution for Ethereum, securing more than $55B in assets. They achieve scale by executing transactions on a Layer 2 ledger, while periodically posting data and finalizing state on the Layer 1, either optimistically or via validity proofs. Their fees must simultaneously reflect the pricing of three resources: L2 costs (e.g., execution), L1 DA, and underlying L1 gas costs for batch settlement and proof verification. In this work, we identify critical m…

A new take on district heating and #flexibility: can dynamic pricing help reduce overall heating costs? The short answer is yes, and automatic controllers would reinforce this effect. Peak heat demand, sometimes also from fossil sources, can thus be reduced.

Current pricing remains until effective date
📈 Service Resources
Scaled up service resources to better meet API needs. Users are encouraged to utilize the enhanced service.
📚 Documentation
For more details, visit DeepSeek API Docs:
https://api-docs.deepseek.com

Crosslisted article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and ...
Shanyan Lai

Solution to the Equity Premium Puzzle with Time Varying Variables
Atilla Aras
https://arxiv.org/abs/2508.17996 https://arxiv.org/pdf/2508.17996

Solution to the Equity Premium Puzzle with Time Varying Variables
The article's aim is to provide a solution to the Equity Premium Puzzle with a derived model. The derived model which depends on Consumption Capital Asset Pricing Model gives a solution to the puzzle with the values of coefficient of relative risk aversion around 4.40 by assuming the subjective time discount factors as 0.97, 0.98 and 0.99. These values are found compatible with empirical literature. Moreover, the risk-free asset and equity investors are determined as insufficient risk-loving in…

Oh, for fuck's sake, release the #EpsteinFiles
Trump advances IVF agenda with latest pricing deal
https://thehill.com/newsletters/health-care/5559489-trump-advances-ivf-agenda-with-latest-pricing-deal/

Dear sucker^H^H^H customer,
#Atlassian is updating pricing to reflect the latest bloat now available across our apps/Cloud Platform. Over the past year, we have delivered ~~powerful new capabilities~~ AI to ~~help teams boost productivity~~ increase page load times and operate ~~with greater scale, performance, reliability~~ break all your plugins.
These pricing updates will apply to <e…

Pricing insurance policies with offsetting relationship
Hamza Hanbali
https://arxiv.org/abs/2508.13409 https://arxiv.org/pdf/2508.13409

Pricing insurance policies with offsetting relationship
This paper investigates the benefits of incorporating diversification effects into the pricing process of insurance policies from two different business lines. The paper shows that, for the same risk reduction, insurers pricing policies jointly can have a competitive advantage over those pricing them separately. However, the choice of competitiveness constrains the underwriting flexibility of joint pricers. The paper goes a step further by modeling explicitly the relationship between premiums a…

Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Chih-Yuan Chiu
https://arxiv.org/abs/2509.20355 https://…

Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Congestion pricing policies have emerged as promising traffic management tools to alleviate traffic congestion caused by travelers' selfish routing behaviors. The core principle behind deploying tolls is to impose monetary costs on frequently overcrowded routes, to incentivize self-interested travelers to select less easily congested routes. Recent literature has focused on toll design based on arc-based traffic assignment models (TAMs), which characterize commuters as traveling through a traff…

Personalised Pricing: The Demise of the Fixed Price?
Joost Poort, Frederik Zuiderveen Borgesius
https://arxiv.org/abs/2509.18212 https://arxiv.org/pdf/2509…

Estimating profitable price bounds for prescriptive price optimization
Masato Inokuma, Shunnosuke Ikeda, Yuichi Takano
https://arxiv.org/abs/2508.15248 https://

Estimating profitable price bounds for prescriptive price optimization
Pricing of products and services, which has a significant impact on consumer demand, is one of the most important factors in maximizing business profits. Prescriptive price optimization is a prominent data-driven pricing methodology consisting of two phases: demand forecasting and price optimization. In the practice of prescriptive price optimization, the price of each item is typically set within a predetermined range defined by lower and upper bounds. Narrow price ranges can lead to missed op…

Option pricing under non-Markovian stochastic volatility models: A deep signature approach
Jingtang Ma, Xianglin Wu, Wenyuan Li
https://arxiv.org/abs/2508.15237 https://

Option pricing under non-Markovian stochastic volatility models: A deep signature approach
This paper studies the pricing problem in which the underlying asset follows a non-Markovian stochastic volatility model. Classical partial differential equation methods face significant challenges in this context, as the option prices depend not only on the current state, but also on the entire historical path of the process. To overcome these difficulties, we reformulate the asset dynamics as a rough stochastic differential equation and then represent the rough paths via linear or non-linear …

So, I was looking for a way for Android phones and iPhones to collaborate on a photo album. I use Google Photos on my Android phone, but this forces my iPhone friends to upload all their contacts to Google Photos which is a little icky. I found cluster.co which allows us to add photos to a shared album. Free to a point. What do you use?
#Android

Trump strikes drug-pricing deal with pharma giant AstraZeneca (Jake Traylor/MSNBC)
https://www.msnbc.com/msnbc/news/trump-strikes-drug-pricing-deal-pharma-giant-astrazeneca-rcna236905
http://www.memeorandum.com/251010/p105#a251010p105

PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
Yunuo Liu, Dawei Zhu, Zena Al-Khalili, Dai Cheng, Yanjun Chen, Dietrich Klakow, Wei Zhang, Xiaoyu Shen
https://arxiv.org/abs/2510.12409

PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks
We present PricingLogic, the first benchmark that probes whether Large Language Models(LLMs) can reliably automate tourism-related prices when multiple, overlapping fare rules apply. Travel agencies are eager to offload this error-prone task onto AI systems; however, deploying LLMs without verified reliability could result in significant financial losses and erode customer trust. PricingLogic comprises 300 natural-language questions based on booking requests derived from 42 real-world pricing p…

🔧 Strict-Mode Function Calling
Beta API now supports strict-mode for function calling, ensuring the output always complies with the defined JSON schema.
🔗 Anthropic API Compatibility
The API is now compatible with Anthropic API, allowing seamless integration with Claude Code.
💰 Pricing Adjustment (Effective Sept. 5, 2025, 16:00 UTC)
Input tokens: $ 0.07/million (cache hit) / $ 0.56/million (cache miss)
Output tokens: $ 1.68/million
The off-peak discount e…

Does anyone know or use #Internxt¹?
295€ for a "lifetime" 3TB storage sounds... Too good? 🤨
But @… @… made a :gitannex:

Internxt Preise – 1 GB kostenlos erhalten
Melde dich für ein sicheres Cloud-Speicherabonnement von Internxt an und erhalte Zugang zu unserem monatlichen Newsletter mit den neuesten technischen Neuigkeiten und Updates.

Fifa kept the costs of 2026 World Cup tickets under wraps until the very moment of sale,
replacing the usual published table of price points with a digital lottery that decided who even got the chance to buy.
Millions spent hours staring at a queue screen as algorithms determined their place in line.
When access finally came for most, the lower-priced sections had already vanished,
many presumably hoovered up by bots and bulk-buyers (and that’s before Fifa quietly r…

Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
Kairong Han, Weidong Huang, Taiyang Zhou, Peng Zhen, Kun Kuang
https://arxiv.org/abs/2509.18148 …

Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method
In the online ride-hailing pricing context, companies often conduct randomized controlled trials (RCTs) and utilize uplift models to assess the effect of discounts on customer orders, which substantially influences competitive market outcomes. However, due to the high cost of RCTs, the proportion of trial data relative to observational data is small, which only accounts for 0.65\% of total traffic in our context, resulting in significant bias when generalizing to the broader user base. Addition…

Google announces Veo updates: support for vertical video and 1080p, lower pricing, and general availability of Veo 3 and Veo 3 Fast in the Gemini API (Google Developers Blog)
https://developers.googleblog.com/en/veo-3-and-veo-3-…

Veo 3 and Veo 3 Fast – new pricing, new configurations and better resolution- Google Developers Blog
Today, we’re launching three big Veo updates: support for vertical format outputs (9:16 aspect ratio...

Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Occupied Processes: Going with the Flow
Valentin Tissot-Daguette
https://

An Interpretable Deep Learning Model for General Insurance Pricing
Patrick J. Laub, Tu Pho, Bernard Wong
https://arxiv.org/abs/2509.08467 https://arxiv.org…

An Interpretable Deep Learning Model for General Insurance Pricing
This paper introduces the Actuarial Neural Additive Model, an inherently interpretable deep learning model for general insurance pricing that offers fully transparent and interpretable results while retaining the strong predictive power of neural networks. This model assigns a dedicated neural network (or subnetwork) to each individual covariate and pairwise interaction term to independently learn its impact on the modeled output while implementing various architectural constraints to allow for…

I have a Frequently Asked Questions page!
This covers my process, payment, free stuff and pricing.
If there's a question you have about my work that isn't listed, then please let me know.
#faq #frequentlyaskedquestions

Minimum pricing or volumetric taxation? Quantity, quality and competition effects of price regulations in alcohol markets
Celine Bonnet, Fabrice Etile, Sebastien Lecocq
https://arxiv.org/abs/2509.14116

Minimum pricing or volumetric taxation? Quantity, quality and competition effects of price regulations in alcohol markets
Reforming alcohol price regulations in wine-producing countries is challenging, as current price regulations reflect the alignment of cultural preferences with economic interests rather than public health concerns. We evaluate and compare the impact of counterfactual alcohol pricing policies on consumer behaviors, firms, and markets in France. We develop a micro-founded partial equilibrium model that accounts for consumer preferences over purchase volumes across alcohol categories and over prod…

Crosslisted article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Identifying Risk Variables From ESG Raw Data Using A Hierarchical Variable Selection Algorithm
Zhi Chen, Zachary Feinstein, Ionut Florescu

LLP: LLM-based Product Pricing in E-commerce
Hairu Wang, Sheng You, Qiheng Zhang, Xike Xie, Shuguang Han, Yuchen Wu, Fei Huang, Jufeng Chen
https://arxiv.org/abs/2510.09347 http…

LLP: LLM-based Product Pricing in E-commerce
Unlike Business-to-Consumer e-commerce platforms (e.g., Amazon), inexperienced individual sellers on Consumer-to-Consumer platforms (e.g., eBay) often face significant challenges in setting prices for their second-hand products efficiently. Therefore, numerous studies have been proposed for automating price prediction. However, most of them are based on static regression models, which suffer from poor generalization performance and fail to capture market dynamics (e.g., the price of a used iPho…

Optimal network pricing with oblivious users: a new model and algorithm
Yixuan Li, Andersen Ang, Sebastian Stein
https://arxiv.org/abs/2510.07157 https://a…

Optimal network pricing with oblivious users: a new model and algorithm
Traffic modeling is important in modern society. In this work we propose a new model on the optimal network pricing (Onp) with the assumption of oblivious users, in which the users remain oblivious to real-time traffic conditions and others' behavior. Inspired by works on transportation research and network pricing for selfish traffic, we mathematically derive and prove a new formulation of Onp with decision-dependent modeling that relax certain existing modeling constraints in the literature. …

Structure-Fair Quantum Circuit Complexity: An Information-Theoretic Lower Bound
HongZheng Liu, YiNuo Tian, Zhiyue Wu
https://arxiv.org/abs/2509.18205 https://

Take-Two reports Q1 net bookings up 17% YoY to $1.42B, net revenue up 12% YoY to $1.5B, vs. $1.32B est., and raises its FY 2026 net bookings projection (Jennifer Maas/Variety)
https://variety.com/2025/gaming/news/take-two-gta-6-pricing-debate-june…

Take-Two Boss on 'GTA 6' Pricing Debate, Latest Earnings
With the "Grand Theft Auto 6" release date no longer in question, exactly how much is this game going to cost?

Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- On Quantum Ambiguity and Potential Exponential Computational Speed-Ups to Solving Dynamic Asset P...
Eric Ghysels, Jack Morgan

Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models
Jian He, Sven Karbach, Asma Khedher
https://arxiv.org/abs/2508.14813 https://

Pricing Options on Forwards in Function-Valued Affine Stochastic Volatility Models
We study the pricing of European-style options written on forward contracts within function-valued infinite-dimensional affine stochastic volatility models. The dynamics of the underlying forward price curves are modeled within the Heath-Jarrow-Morton-Musiela framework as solution to a stochastic partial differential equation modulated by a stochastic volatility process. We analyze two classes of affine stochastic volatility models: (i) a Gaussian model governed by a finite-rank Wishart process…

🛡️ Enterprise-grade security with proper authentication handling, structured responses containing tool discovery, reasoning steps, and execution results
💰 Simple pricing model - pay only for tokens consumed by selected #GroqCloud model, bring your own #MCP server and API key with third-par…

A mathematical model for pricing perishable goods for quick-commerce applications
Milon Bhattacharya
https://arxiv.org/abs/2510.11360 https://arxiv.org/pdf…

A mathematical model for pricing perishable goods for quick-commerce applications
Quick commerce (q-commerce) is one of the fastest growing sectors in India. It provides informal employment to approximately 4,50,000 workers, and it is estimated to become a USD 200 Billion industry by 2026. A significant portion of this industry deals with perishable goods. (e.g. milk, dosa batter etc.) These are food items which are consumed relatively fresh by the consumers and therefore their order volume is high and repetitive even when the average basket size is relatively small. The fun…

While most Americans are trying to pay rising #energy bills, struggling with obvious #EconomicBubble real estate pricing & basic food costs while trying to preserve their existing #healthcare options, if they even still h…

"Personalized pricing" is actually insane

US TV rights for #F1 will go to Apple TV
It seems like they are keeping #F1TV but details are sparse on pricing

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Pasquale Casaburi, Giovanni Piccioli, Pierpaolo Vivo
https://arxiv.org/abs/2510.07101 https://

Data as Commodity: a Game-Theoretic Principle for Information Pricing
Data is the central commodity of the digital economy. Unlike physical goods, it is non-rival, replicable at near-zero cost, and traded under heterogeneous licensing rules. These properties defy standard supply--demand theory and call for new pricing principles. We propose a game-theoretic approach in which the value of a data string emerges from strategic competition among N players betting on an underlying stochastic process, each holding partial information about past outcomes. A better-infor…

Crosslisted article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Sizing the Risk: Kelly, VIX, and Hybrid Approaches in Put-Writing on Index Options
Maciej Wysocki

A bottleneck model with shared autonomous vehicles: Scale economies and price regulations
Koki Satsukawa, Yuki Takayama
https://arxiv.org/abs/2508.08848 https://

A bottleneck model with shared autonomous vehicles: Scale economies and price regulations
This study examines how scale economies in the operation of shared autonomous vehicles (SAVs) affect the efficiency of a transportation system where SAVs coexist with normal vehicles (NVs). We develop a bottleneck model where commuters choose their departure times and mode of travel between SAVs and NVs, and analyze equilibria under three SAV-fare scenarios: marginal-cost pricing, average-cost pricing, and unregulated monopoly pricing. Marginal-cost pricing reduces commuting costs but results i…

ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing
Stella C. Dong, James R. Finlay
https://arxiv.org/abs/2510.08429 https:/…

ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing
Reinsurance treaty pricing must satisfy stringent regulatory standards, yet current quoting practices remain opaque and difficult to audit. We introduce ClauseLens, a clause-grounded reinforcement learning framework that produces transparent, regulation-compliant, and risk-aware treaty quotes. ClauseLens models the quoting task as a Risk-Aware Constrained Markov Decision Process (RA-CMDP). Statutory and policy clauses are retrieved from legal and underwriting corpora, embedded into the agent'…

Yes, smart meters are scarce in Germany, but that does not mean scarcity pricing can be applied to them.
Consumers who request a smart meter, for example to benefit from dynamic electricity prices, should not be charged €900 by their grid operator, but rather a maximum of around €100.

Knapp 900 Euro für den Smart-Meter-Einbau: Verbraucherzentrale klagt erfolgreich gegen unangemessene Preise
Landgericht Halle gibt Klage der Verbraucherzentrale gegen die Mitteldeutsche Netzgesellschaft statt

A Linear Pricing Mechanism for Load Management in Day-Ahead Retail Energy Markets
Phillippe K. Phanivong, Duncan S. Callaway
https://arxiv.org/abs/2509.08166 https://

A Linear Pricing Mechanism for Load Management in Day-Ahead Retail Energy Markets
Regulators and utilities have been exploring hourly retail electricity pricing, with several existing programs providing day-ahead hourly pricing schedules. At the same time, customers are deploying distributed energy resources and smart energy management systems that have significant flexibility and can optimally follow price signals. In aggregate, these optimally controlled loads can create congestion management issues for distribution system operators (DSOs). In this paper, we describe a new…

Gini-based Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing
Alexej Brauer, Paul Menzel
https://arxiv.org/abs/2510.04556 https://

Gini-based Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing
In a dynamic landscape where portfolios and environments evolve, maintaining the accuracy of pricing models is critical. To the best of our knowledge, this is the first study to systematically examine concept drift in non-life insurance pricing. We (i) provide an overview of the relevant literature and commonly used methodologies, clarify the distinction between virtual drift and concept drift, and explain their implications for long-run model performance; (ii) review and formalize common perfo…

Carbon Pricing in Traffic Networks
Svenja M. Griesbach, Tobias Harks, Max Klimm, Michael Markl, Philipp Warode
https://arxiv.org/abs/2508.09280 https://arx…

Carbon Pricing in Traffic Networks
Traffic is a significant source of global carbon emissions. In this paper, we study how carbon pricing can be used to guide traffic towards equilibria that respect given emission budgets. In particular, we consider a general multi-commodity flow model with flow-dependent externalities. These externalities may represent carbon emissions, entering a priced area, or the traversal of paths regulated by tradable credit schemes. We provide a complete characterization of all flows that can be attain…

Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
Muhammad Kashif, Shaf Khalid, Nouhaila Innan, Alberto Marchisio, Muhammad Shafique
https://arxiv.org/abs/2509.09432

Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
Accurate and efficient pricing of multi-asset basket options poses a significant challenge, especially when dealing with complex real-world data. In this work, we investigate the role of quantum-enhanced uncertainty modeling in financial pricing options on real-world data. Specifically, we use quantum amplitude estimation and analyze the impact of varying the number of uncertainty qubits while keeping the number of assets fixed, as well as the impact of varying the number of assets while keepin…

Apple unveils AirPods Pro 3 with a new design, 2x ANC performance than Pro 2, heart-rate monitor, live translation, for $249, coming September 19 (Tom Warren/The Verge)
https://www.theverge.com/news/772410/apple-airpods-pro-3-release-date-pricing-an…

Apple announces AirPods Pro 3 with ‘world’s best ANC’ and heart rate sensing
Apple has announced its new AirPods Pro 3 in-ear headphones. It’s the first major update to the AirPods Pro in three years.

Regulating Online Algorithmic Pricing: A Comparative Study of Privacy and Data Protection Laws in the EU and US
Zihao Li
https://arxiv.org/abs/2509.24345 https://

Regulating Online Algorithmic Pricing: A Comparative Study of Privacy and Data Protection Laws in the EU and US
The emergence of big data, AI and machine learning has allowed sellers and online platforms to tailor pricing for customers in real-time. While online algorithmic pricing can increase efficiency, market welfare, and optimize pricing strategies for sellers and companies, it poses a threat to the fundamental values of privacy, digital autonomy, and non-discrimination, raising legal and ethical concerns. On both sides of the Atlantic, legislators have endeavoured to regulate online algorithmic pri…

Crosslisted article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Error Propagation in Dynamic Programming: From Stochastic Control to Option Pricing
Andrea Della Vecchia, Damir Filipovi\'c

Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
Hangcheng Zhao, Ron Berman
https://arxiv.org/abs/2508.08325 https://arxiv.org/pdf/…

Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
Online sellers have been adopting AI learning algorithms to automatically make product pricing and advertising decisions on e-commerce platforms. When sellers compete using such algorithms, one concern is that of tacit collusion - the algorithms learn to coordinate on higher than competitive. We empirically investigate whether these concerns are valid when sellers make pricing and advertising decisions together, i.e., two-dimensional decisions. Our empirical strategy is to analyze competition w…

Path-dependent, ESG-valued, option pricing in the Bachelier-Black-Scholes-Merton model
Bhathiya Divelgama, Nancy Asare Nyarko, W. Brent Lindquist, Svetlozar T. Rachev, Blessing Omotade
https://arxiv.org/abs/2509.18099

Microsoft and Asus plan to launch the Xbox Ally and Xbox Ally X handhelds on October 16; leaks have suggested the Xbox Ally will cost €599 and Ally X €899 (Tom Warren/The Verge)
https://www.theverge.com/news/762116/microsoft-asus-xbox-ally-ha…

Microsoft and Asus’ new Xbox Ally handhelds launch on October 16th
Microsoft and Asus are launching the new Xbox Ally handheld devices in October. Information on pricing and preorders is coming soon.

In addition to the other EV reports published by BEUC, the European Consumer Association, today, there is also this one on improving the public EV charging experience. It addresses price transparency, competition, unfair pricing practices, and the need to accelerate dynamic pricing and smart charging on public charging points.

Strategic Pricing and Ranking in Recommendation Systems with Seller Competition
Tushar Shankar Walunj, Veeraruna Kavitha, Jayakrishnan Nair, Priyank Agarwal
https://arxiv.org/abs/2509.13462

Strategic Pricing and Ranking in Recommendation Systems with Seller Competition
We study a recommendation system where sellers compete for visibility by strategically offering commissions to a platform that optimally curates a ranked menu of items and their respective prices for each customer. Customers interact sequentially with the menu following a cascade click model, and their purchase decisions are influenced by price sensitivity and positions of various items in the menu. We model the seller-platform interaction as a Stackelberg game with sellers as leaders and consi…

Tree-like Pairwise Interaction Networks
Ronald Richman, Salvatore Scognamiglio, Mario V. W\"uthrich
https://arxiv.org/abs/2508.15678 https://arxiv.org…

Tree-like Pairwise Interaction Networks
Modeling feature interactions in tabular data remains a key challenge in predictive modeling, for example, as used for insurance pricing. This paper proposes the Tree-like Pairwise Interaction Network (PIN), a novel neural network architecture that explicitly captures pairwise feature interactions through a shared feed-forward neural network architecture that mimics the structure of decision trees. PIN enables intrinsic interpretability by design, allowing for direct inspection of interaction e…

Robust Competitive Ratio for Deterministic Monopoly Pricing
Tim S. G. van Eck, Pieter Kleer, Johan S. H. van Leeuwaarden
https://arxiv.org/abs/2509.06619 https://

Robust Competitive Ratio for Deterministic Monopoly Pricing
We study deterministic monopoly pricing under partial knowledge of the market, where the seller has access only to summary statistics of the valuation distribution, such as the mean, dispersion, and maximum value. Using tools from distributionally robust optimization and max-min analysis, we evaluate pricing strategies based on their competitive ratio (CR). We characterize the worst-case market scenario consistent with the available information and provide a complete solution for minimizing the…

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Akshay Govind Srinivasan, Anuj Jagannath Said, Sathwik Pentela, Vikas Dwivedi, Balaji Srinivasan
https://arxiv.org/abs/2510.04322

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Partial differential equation (PDE) solvers underpin modern quantitative finance, governing option pricing and risk evaluation. Physics-Informed Neural Networks (PINNs) have emerged as a promising approach for solving the forward and inverse problems of partial differential equations (PDEs) using deep learning. However they remain computationally expensive due to their iterative gradient descent based optimization and scale poorly with increasing model size. This paper introduces Physics-Inform…

[2025-08-27 Wed (UTC), 1 new article found for q-fin.PR Pricing of Securities]
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https://kiro.dev/pricing/

[2025-08-26 Tue (UTC), 2 new articles found for q-fin.PR Pricing of Securities]
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Call Option Price using Pearson Diffusion Processes
Tapan Kar, Suprio Bhar, Barun Sarkar, Sesha Meka
https://arxiv.org/abs/2508.14577 https://arxiv.org/pdf…

Call Option Price using Pearson Diffusion Processes
Following the foundational work of the Black--Scholes model, extensive research has been developed to price the option by addressing its underlying assumptions and associated pricing biases. This study introduces a novel framework for pricing European call options by modeling the underlying asset's return dynamics using Pearson diffusion processes, characterized by a linear drift and a quadratic squared diffusion coefficient. This class of diffusion processes offers a key advantage in its abili…

In addition to the other EV reports published by BEUC, the European Consumer Association, today, there is also this one on improving the public EV charging experience. It addresses price transparency, competition, unfair pricing practices, and the need to accelerate dynamic pricing and smart charging on public charging points.

Recommendations for a better charging experience for electric car drivers
A consumer-friendly charging ecosystem is a precondition to the mass adoption of battery electric vehicles (BEVs). A growing number of charging stations are popping up in our cities, in parking lots and along EU’s roads. Yet, frustrations are still there when it comes to knowing the price of your charging session in advance, trying to compare offers, juggling between payment methods and facing high prices in certain locations.

[2025-09-26 Fri (UTC), no new articles found for q-fin.PR Pricing of Securities]
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Smart Charging Impact Analysis using Clustering Methods and Real-world Distribution Feeders
Ravi Raj Shrestha, Zhi Zhou, Limon Barua, Nazib Siddique, Karthikeyan Balasubramaniam, Yan Zhou, Lusha Wang
https://arxiv.org/abs/2508.15092

Smart Charging Impact Analysis using Clustering Methods and Real-world Distribution Feeders
The anticipated widespread adoption of electric vehicles (EVs) necessitates a critical evaluation of existing power distribution infrastructures, as EV integration imposes additional stress on distribution networks that can lead to component overloading and power quality degradation. Implementing smart charging mechanisms can mitigate these adverse effects and defer or even avoid upgrades. This study assesses the performance of two smart charging strategies - Time of Use (TOU) pricing and Load …

Q&A with Lyft CEO David Risher on three consecutive profitable quarters, cofounders leaving the board, Freenow acquisition, the economics of robotaxis, and more (J. Edward Moreno/Sherwood News)
https://sherwood.news/tech/lyfts-ceo-on-the-e…

Lyft’s CEO on the economics of robotaxis, how to end surge pricing, and reviving his company
Lyft wants to shed its “second-place, domestic-only, only a business-to-consumer company” reputation.

Scaled Beta Models and Feature Dilution for Dynamic Ticket Pricing
Jonathan R. Landers
https://arxiv.org/abs/2507.23767 https://arxiv.org/pdf/2507.23767

Scaled Beta Models and Feature Dilution for Dynamic Ticket Pricing
A novel approach is presented for identifying distinct signatures of performing acts in the secondary ticket resale market by analyzing dynamic pricing distributions. Using a newly curated, time series dataset from the SeatGeek API, we model ticket pricing distributions as scaled Beta distributions. This enables accurate parameter estimation from incomplete statistical data using a hybrid of quantile matching and the method of moments. Incorporating the estimated $α$ and $β$ parameters into R…

📉 Record-Low Canadian Natural Gas Prices Prompt Production Curbs
https://oilprice.com/Latest-Energy-News/World-News/Record-Low-Canadian-Natural-Gas-Prices-Prompt-Production-Curbs.html

Record-Low Canadian Natural Gas Prices Prompt Production Curbs
Canadian natural gas producers are curbing output due to record-low negative pricing at the AECO Hub, driven by a warmer winter, sufficient storage, and increased production in anticipation of LNG Canada's export facility.

Enel X/Enel X Way, Italy’s dominant #EV charging point operator, has been fined €2.3 million for obstructing MSP competition. For example, it has impeded other EV charging apps from offering equal pricing compared to its own.

Colonnine di ricarica, botta e risposta Antitrust-Enel X. Multa da 2,3 mln, l'azienda: noi corretti
L’Autorità censura i comportamenti mirati a escludere gli operatori concorrenti. La società convinta della “piena legittimità della condotta tenuta” e pronta a…

Sources: StubHub is pricing its US IPO at $23.50/share after marketing a range of $22-$25, giving it an $8.6B market cap, and will trade under the ticker STUB (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-16/ticke…

American Option Pricing Under Time-Varying Rough Volatility: A Signature-Based Hybrid Framework
Roshan Shah
https://arxiv.org/abs/2508.07151 https://arxiv.…

American Option Pricing Under Time-Varying Rough Volatility: A Signature-Based Hybrid Framework
We introduce a modular framework that extends the signature method to handle American option pricing under evolving volatility roughness. Building on the signature-pricing framework of Bayer et al. (2025), we add three practical innovations. First, we train a gradient-boosted ensemble to estimate the time-varying Hurst parameter H(t) from rolling windows of recent volatility data. Second, we feed these forecasts into a regime switch that chooses either a rough Bergomi or a calibrated Heston sim…

Pricing Short-Circuit Current via a Primal-Dual Formulation for Preserving Integrality Constraints
Peng Wang, Luis Badesa
https://arxiv.org/abs/2510.05293 https://

Pricing Short-Circuit Current via a Primal-Dual Formulation for Preserving Integrality Constraints
Synchronous Generators (SGs) currently provide important levels of Short-Circuit Current (SCC), a critical ancillary service that ensures line protections trip during short-circuit faults. Given the ongoing replacement of SGs by power-electronics-based generation, which have a hard limit for current injection, it has become relevant to optimize the procurement of SCC provided by remaining SGs. Pricing this service is however challenging due to the integrality constraints in Unit Commitment (UC)…

The payment industry (Visa and Mastercard) is stepping up to make card payments the standard for #EV Plug & Charge #15118.
This makes price transparency even more important and will mess up the pricing circus (every customer gets their own price) for CPOs.

Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Rethinking Beta: A Causal Take on CAPM
Naftali Cohen
https://

GPT-5 hands-on: it exudes competence but doesn't feel like a dramatic leap ahead of other LLMs, and the pricing is aggressively competitive with other providers (Simon Willison/Simon Willison's Weblog)
https://simonwillison.net/2025/Aug/7/gpt-5/

GPT-5: Key characteristics, pricing and model card
I’ve had preview access to the new GPT-5 model family for the past two weeks (see related video) and have been using GPT-5 as my daily-driver. It’s my new favorite …

Plaud unveils the $179 Plaud Note Pro, an AI note-taking device with two extra mics to hear audio 16.4 feet away and a 1-inch display, shipping in October (Emma Roth/The Verge)
https://www.theverge.com/news/766335/plaud-ai-note-pro-launch-pricing-availabili…

Plaud upgrades its card-sized AI note-taker with better range
Plaud is launching the Note Pro, a new version of its AI-powered Note device it launched in 2023. The Note Pro can pick up audio within a 16.4-foot area and comes with a small display.

[2025-08-25 Mon (UTC), no new articles found for q-fin.PR Pricing of Securities]
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[2025-09-25 Thu (UTC), no new articles found for q-fin.PR Pricing of Securities]
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Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Rethinking Beta: A Causal Take on CAPM
Naftali Cohen
https://

Sources: the FTC is investigating whether Amazon and Google misled advertisers by not properly disclosing the terms and pricing for ads on their websites (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-12/amazon-goo…

Amazon, Google Probed by FTC Over Search Ad Practices (AMZN, GOOGL)
The US Federal Trade Commission is investigating whether Amazon.com Inc. and Alphabet Inc.’s Google misled advertisers that place ads on their websites, according to people familiar with the matter.

Crypto exchange Bullish raised $1.1B in its IPO, selling 30M shares at $37 per share, above its $32 to $33 marketed range, implying a $5.4B valuation (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-13/crypto-firm-…

Coindesk Owner Bullish Raises $1.1 Billion in IPO Priced Over Range
Bullish raised $1.1 billion in an initial public offering, pricing its shares above the marketed range.

Q&A with Notion CEO Ivan Zhao on Notion's evolution into an "AI workspace", being profitable, B2B vs. B2C, usage-based pricing for AI, and more (Casey Newton/The Verge)
https://www.theverge.com/decoder-podcast-w

Notion CEO Ivan Zhao wants you to demand better from your tools
Notion’s Ivan Zhao on AI, productivity, and the future of work.

[2025-09-24 Wed (UTC), 1 new article found for q-fin.PR Pricing of Securities]
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Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Marketron Through the Looking Glass: From Equity Dynamics to Option Pricing in Incomplete Markets
Igor Halperin, Andrey Itkin

Germany's Federal Cartel Office opens an investigation into whether Temu is influencing the pricing of third-party merchants, potentially stifling competition (Mark Hallam/DW News)
https://www.dw.com/en/germany-investigating-temu-on-price-fixing-sus…

Germany investigating Temu on price-fixing suspicions
Germany's competition watchdog has announced an investigation of Chinese discount online retail site temu.com, suspecting it of influencing retailers' prices. The site is the fastest-growing of its kind in the world.

Replaced article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions
Yoonsik Hong, Diego Klabjan

Crosslisted article(s) found for q-fin.PR. https://arxiv.org/list/q-fin.PR/new
[1/1]:
- An extended CIR process with stochastic discontinuities
Claudio Fontana, Simone Pavarana, Thorsten Schmidt

[2025-09-23 Tue (UTC), no new articles found for q-fin.PR Pricing of Securities]
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