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A new modular neural network approach for exchange rate prediction

Zargany, Ebtesam; Ahmadi, Abbas - In: International journal of electronic finance : IJEF 8 (2014/2015) 2/3/4, pp. 97-123

Persistent link: https://www.econbiz.de/10011525279

Stock market manipulation detection using feature modelling with hybrid recurrent neural networks

Sridhar, Sashank; Mootha, Siddartha - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 47-79

Persistent link: https://www.econbiz.de/10013256819

Comparison between artificial neural network and linear model prediction performance for FDI disparity and the growth rate of companies in Hungarian counties

Singh, Devesh - In: International journal of business information systems : … 43 (2023) 4, pp. 542-552

Persistent link: https://www.econbiz.de/10014336898

Forecasting Nigerian stock market returns using ARIMA and artificial neural network models

Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN journal of applied statistics 5 (2014) 2, pp. 25-48

study. These networks are TECH (4-3-1) and TECH (3-3-1) whose out-of-sample forecast performance was compared with a …

Persistent link: https://www.econbiz.de/10011488820

Self-organising (Kohonen) maps for the Vietnam banking industry

Man Ha; Gan, Christopher; Nguyen, Cuong; Anthony, Patricia - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-18

, to capture market power, and the data enveloped analysis technique to measure bank performance, our result shows …

Persistent link: https://www.econbiz.de/10012792367

Assessing artificial neural networks (ANNS) adequacy against econometric models for decision making approaches in banking industry

Trigkas, Sotirios J.; Liapis, Konstantinos J. - In: Business performance and financial institutions in …, (pp. 105-116). 2020

The purpose of this paper is to test the effect of non-parametric methodology of ANNs on enhancing decision …

Persistent link: https://www.econbiz.de/10012322042

The applications of artificial neural networks, support vector machines, and long-short term memory for stock market prediction

Chhajer, Parshv; Shah, Manan; Kshirsagar, Ameya - In: Decision analytics journal 2 (2022)

The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...

Persistent link: https://www.econbiz.de/10013163098

The prudential effect of strategic institutional ownership on stock performance

Belghitar, Yacine; Clark, Ephraim; Kassimatis, Konstantinos - In: International review of financial analysis 20 (2011) 4, pp. 191-199

Persistent link: https://www.econbiz.de/10009295716

Research process for selecting a theoretical framework and bibliometric analysis of a theme : illustration for the management of customer service in a bank

Ensslin, Leonardo; Dutra, Ademar; Ensslin, Sandra Rolim; … - In: Modern economy 6 (2015) 6, pp. 782-796

Persistent link: https://www.econbiz.de/10011385290

Corporate Governance und Unternehmenserfolg : eine empirische Analyse des Zusammenhangs zwischen den Führungs-, Kontroll- und Anreizstrukturen und der Geschäftsentwicklung deutsche...

Steinbrecher, Johannes - 2016

needed how banks are governed and how bank governance is associated with performance and risk taking. This report deals with … corporate governance matter. Higher executive team expertise is associated with superior bank outcomes regarding performance …

Persistent link: https://www.econbiz.de/10011742813

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