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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...
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Lucky Nugroho,Akhmad Amien Mastur,Ulfa Ulfa,Tri Wahyono,Soeharjoto Soeharjoto
Pág. 124 - 140
Abstract: This study aimed to analyze and compare the factors that affect the return on assets (ROA) of Islamic commercial banks (BUS) and Islamic business units (UUS). This study?s independent variables are NPF, FDR, and MSMEs. The study used the q...
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Ioannis Lysaridis, Panos T. Chountalas and Anastasios I. Magoutas
In contemporary academia and industry, the commercialization of technology through licensing has emerged as a prevalent strategy. This paradigmatic shift has prompted numerous industrial firms to intensify their focus on technology commercialization as a...
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Antonio Baraybar-Fernández, Sandro Arrufat-Martín and Rainer Rubira-García
The aim of the study is to analyze the communication management strategies of the top 40 hotel companies, in terms of turnover, using their corporate accounts on social networks during the Easter holiday campaign in 2021 and 2022. By using apps such as ?...
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Gui Ren and Tao Meng
This paper proposes two data-driven models (including LSTM pricing model, WGAN pricing model) and an improved model of LSM based on GAN to analyze the pricing of convertible bonds. In addition, the LSM model with higher precision in traditional pricing m...
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