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A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting

Zhang, Yue-jun; Zhang, Han; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-23

Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market stability, and the development of the artificial intelligence industry. To provide investors with a more reliable reference in terms of artificial intelligence index investment,...

Persistent link: https://www.econbiz.de/10014289091

Robots and analyst forecast precision : evidence from Chinese manufacturing

Cui, Huijie; Liang, Shangkun; Xu, Canyu; Yu, Junli - In: International review of financial analysis 94 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10014543954

Data Mining im Retourenmanagement : Evaluation von Retourenmengenprognosen anhand der Transaktionsdaten eines Schuh- und Bekleidungsversandhändlers

Karl, David - In: Mobility in a Globalised World 2015, (pp. 190-213). 2016

Persistent link: https://www.econbiz.de/10011515804

Predicting customer retention in discrete and continuous services

Watts, Helen - In: Markt- und Absatzprognosen : Modelle, Methoden, Anwendung, (pp. 89-106). 2015

Persistent link: https://www.econbiz.de/10010488972

Applying asymmetric, case-based, forecasting modeling in service research : cultures’ consequences on customers’ service gratuities

Ferguson, Graham; Megehee, Carol M.; Woodside, Arch G. - In: Australasian marketing journal 26 (2018) 4, pp. 369-381

Persistent link: https://www.econbiz.de/10011965442

Is price a significant predictor of the churn behavior during the global pandemic? : a predictive modeling on the telecom industry

Shukla, Vishal; Prashar, Sanjeev; Pandiya, Bhartrihari - In: Journal of revenue and pricing management 21 (2022) 4, pp. 470-483

Persistent link: https://www.econbiz.de/10013390631

Understanding and predicting demand through visual characteristics and neural networks

Mast, Daniela - 2023

In order to understand consumers' fashion purchase decisions better, I determine a product's design typicality and brand prominence based on the theories of processing fluency and conspicuous consumption. Then, I relate these visual characteristics to typical product sales patterns to understand...