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Order-to-trade ratios and market liquidity

Friederich, Sylvain; Payne, Richard - In: Journal of banking & finance 50 (2015), pp. 214-223

Persistent link: https://www.econbiz.de/10010509557

Factors influencing corporate enviornmental disclosure

D'Amico, Eugenio; Coluccia, Daniela; Fontana, Stefano; … - In: Business strategy and the environment 25 (2016) 3, pp. 178-192

Persistent link: https://www.econbiz.de/10011577490

Impact of Covid-19 on financial markets : case of the Italian stock exchange

Djebbar, Mahfoud; Merimet, Adila - In: The review of economic and business studies : REBS 14 (2021) 1, pp. 9-31

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Global schema as local data integrator using active learning to identify candidates attributes

Santos, Clóvis; Dorneles, Carina - In: International journal of applied management science : IJAMS 15 (2023) 4, pp. 296-310

Persistent link: https://www.econbiz.de/10014391699

Systemic acquired critique of credit card deception exposure through machine learning

Dantas, Rui Miguel; Firdaus, Raheela; Jaleel, Farrokh; … - In: Journal of open innovation : technology, market, and … 8 (2022) 4, pp. 1-20

five foremost databases. The literature review is designed using extraction by database, keywords, year, articles, authors …

Persistent link: https://www.econbiz.de/10013413156

Self-healing databases for emergency response logistics in remote and infrastructure-poor settings

McGarvey, James; Grabowski, Martha R.; Custard, Buddy; … - In: Logistics 9 (2025) 1, pp. 1-20

machine learning algorithm and self-healing database approach, describing its application in Arctic logistics and emergency …

Persistent link: https://www.econbiz.de/10015337501

Machine learning style rotation : evidence from the Johannesburg Stock Exchange

Page, Daniel; McClelland, David E.; Auret, C. - In: Cogent economics & finance 12 (2024) 1, pp. 1-15

This study evaluates naïve and advanced prediction models when applied to style rotation strategies on the Johannesburg Stock Exchange (‘JSE’). We apply 1- and 3-month style momentum as naïve predictors against three tree-based machine learning (‘ML’) algorithms (advanced predictors),...

Persistent link: https://www.econbiz.de/10015326694

A predictive analytics model for designing deep underground foundations using artificial neural networks

Agbemenou, Atsou Komla Herve; Motamed, Ramin; … - In: Decision analytics journal 7 (2023), pp. 1-11

Load Test Database. This study focuses on certain difficulties in foundation engineering problems, such as the variability …

Persistent link: https://www.econbiz.de/10014436673

Model selection using database characteristics : developing a classification tree for longitudinal incidence data

Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science 33 (2014) 2, pp. 188-205

Persistent link: https://www.econbiz.de/10010358791

Mortality data correction in the absence of monthly fertility records

Boumezoued, Alexandre; Elfassihi, Amal - In: Insurance / Mathematics & economics 99 (2021), pp. 486-508

Persistent link: https://www.econbiz.de/10012649244