136   Artículos

 
en línea
Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez     Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the... ver más
Revista: Estudios de Economía    Formato: Electrónico

 
en línea
Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis    
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Krzysztof Drachal and Michal Pawlowski    
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities? prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approa... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Chiou-Yann Lee, Chun-Ru Wen and Binh Thi-Thanh-Nguyen    
This study presents a novel financial performance forecasting method that combines the threshold technique with Artificial Neural Networks (ANN). It applies the threshold regression method to identify the factors within the board of directors that influe... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli    
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Mustafa Pamuk and Matthias Schumann    
Corporate credit ratings provide multiple strategic, financial, and managerial benefits for decision-makers. Therefore, it is essential to have accurate and up-to-date ratings to continuously monitor companies? financial situations when making financial ... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Apostolos Ampountolas    
This study analyzes the transmission of market uncertainty on key European financial markets and the cryptocurrency market over an extended period, encompassing the pre-, during, and post-pandemic periods. Daily financial market indices and price observa... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Charalampos M. Liapis and Sotiris Kotsiantis    
The use of deep learning in conjunction with models that extract emotion-related information from texts to predict financial time series is based on the assumption that what is said about a stock is correlated with the way that stock fluctuates. Given th... ver más
Revista: Information    Formato: Electrónico

 
en línea
Samuel Tabot Enow     Pág. 197 - 203

 
en línea
Gaurang Sonkavde, Deepak Sudhakar Dharrao, Anupkumar M. Bongale, Sarika T. Deokate, Deepak Doreswamy and Subraya Krishna Bhat    
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning ... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

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