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Modeling company's financial sustainability with the use of artificial neural networks

Debunov, Leonid - In: Economy and forecasting : scientific journal (2019) 3, pp. 76-93

Persistent link: https://www.econbiz.de/10013161675

AI in marketing, consumer research and psychology : a systematic literature review and research agenda

Mariani, Marcello M.; Perez-Vega, Rodrigo; Wirtz, Jochen - In: Psychology & marketing 39 (2022) 4, pp. 755-776

Persistent link: https://www.econbiz.de/10013165434

Macroeconomic forecasting and evaluation with supervised and neural network reinforced factor models

Umbach, Simon Lineu - 2021

Persistent link: https://www.econbiz.de/10013166034

A dynamic scenario-driven technique for stock price prediction and trading

Thesia, Yash; Oza, Vidhey; Thakkar, Priyank - In: Journal of forecasting 41 (2022) 3, pp. 653-674

Persistent link: https://www.econbiz.de/10013166175

Comparative characteristics of the ability of convolutional neural networks to the concept of transfer learning

Khotsyanovsky, Vladimir - In: Technology audit and production reserves 1 (2022) 2/63, pp. 10-13

Persistent link: https://www.econbiz.de/10013169110

Application of machine learning in quantitative investment strategies on global stock markets

Grudniewicz, Jan; Ślepaczuk, Robert - 2021

Persistent link: https://www.econbiz.de/10012816704

Detecting bots and assessing their impact in social networks

Mesnards, Nicolas Guenon des; Hunter, David Scott; El … - In: Operations research 70 (2022) 1, pp. 1-22

Persistent link: https://www.econbiz.de/10012820633

Machine learning the carbon footprint of Bitcoin mining

Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-30

Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...

Persistent link: https://www.econbiz.de/10012821293

Forecasting the stock exchange of Thailand using data mining techniques

Kanokkarn Snae Namahoot; Viphasiri Jantasri - In: International journal of electronic finance : IJEF 10 (2021) 4, pp. 211-231

Persistent link: https://www.econbiz.de/10012798947

Moody's ratings statistical forecasting for industrial and retail firms

Caridad y López del Río, Lorena; García-Moreno … - In: Economies : open access journal 9 (2021) 4, pp. 1-15

Long-term ratings of companies are obtained from public data plus some additional nondisclosed information. A model based on data from firms' public accounts is proposed to directly obtain these ratings, showing fairly close similitude with published results from Credit Rating Agencies. The...

Persistent link: https://www.econbiz.de/10012799506