Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source
Algorithmic Price Discrimination [PDF]
, 2020 We consider a generalization of the third degree price discrimination problem studied in Bergemann et al. (2015), where an intermediary between the buyer and the seller can design market segments to maximize any linear combination of consumer surplus and seller revenue. Unlike in Bergemann et al. (2015), we assume that the intermediary only has partial
Cummings, Rachel +3 more
openaire +2 more sources
Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications [PDF]
Quantum, 2023 Modeling stochastic phenomena in continuous time is an essential yet challenging problem. Analytic solutions are often unavailable, and numerical methods can be prohibitively time-consuming and computationally expensive. To address this issue, we propose
Xi-Ning Zhuang +4 more
doaj +1 more source
Value creation in an algorithmic world: Towards an ethics of dynamic pricing
Journal of business research, 2022 Choice of pricing strategy plays a central role in value creation and the effective functioning of markets. Shifts in technology and the growing availability of data are facilitating ever more innovative forms of pricing strategy.
Daniel Nunan, MariaLaura Di Domenico
semanticscholar +1 more source
Stackelberg Network Pricing Games [PDF]
, 2007 We study a multi-player one-round game termed Stackelberg Network Pricing Game, in which a leader can set prices for a subset of $m$ priceable edges in a graph. The other edges have a fixed cost.
Briest, Patrick +2 more
core +10 more sources
Third-Party Data Providers Ruin Simple Mechanisms [PDF]
, 2020 Motivated by the growing prominence of third-party data providers in online marketplaces, this paper studies the impact of the presence of third-party data providers on mechanism design.
Cai, Yang +5 more
core +4 more sources
DIGITAL PLATFORMS AND ALGORITHMIC PRICING: INVESTIGATING MARKET EFFICIENCY AND CONSUMER WELFARE IN THE AGE OF BIG DATA [PDF]
Malaysian E Commerce JournalThe rise of digital platforms has profoundly transformed modern markets, particularly through the deployment of algorithmic pricing strategies powered by big data.
Israel Grace, Onum Friday Okoh
doaj +1 more source
The complexity burden in transfer pricing compliance: A computational assessment of Ukrainian tax law and its implications for accounting [PDF]
Accounting and Financial ControlType of the article: Research Article Ukrainian transfer pricing legislation demonstrates a significantly higher level of regulatory complexity than international OECD standards, creating a disproportionate burden on the accounting and reporting system.
Serhii Lehenchuk +4 more
doaj +1 more source
A Comprehensive Overview of Deep Learning for Algorithmic Pricing in Ride-Sharing Platforms [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied InformaticsThis study extends the current scholarship on algorithmic pricing within the sharing economy. By leveraging the capabilities of deep learning, we seek to generate valuable knowledge for stakeholders in the ride-sharing domain, including platform ...
Mioara Chirita, George Chirita
doaj +1 more source
Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm
IEEE Access, 2020 From the perspective of platform economics, crowdsourcing is a very efficient business model, and the pricing of crowdsourcing tasks is a key factor for the sustainable development of the crowdsourcing model.
Zhichao Li +3 more
doaj +1 more source