Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

Random Regression Forest Model using Technical Analysis VariablesAn application on Turkish Banking Sector in Borsa Istanbul (BIST)

Senol Emir    
Hasan Dincer    
Umit Hacioglu    
Serhat Yuksel    

Resumen

No disponible

 Artículos similares

       
 
Happiness Kilombele, Shiferaw Feleke, Tahirou Abdoulaye, Steven Cole, Haruna Sekabira and Victor Manyong    
This study examined the determinants and impacts of mobile money (MM) usage on maize productivity and poverty likelihood (i.e., the probability of a household falling below the international poverty line at USD 1.9 per capita per day) in the Mbeya Region... ver más

 
Kittipob Saetia and Jiraphat Yokrattanasak    
Machine learning for stock market prediction has recently been popular for identifying stock selection strategies and providing market insights. In this study, we adopted machine learning algorithms to analyze technical indicators, and Google Trends sear... ver más

 
Suharto suharto,(Universitas Muhammadiyah MetroIndonesia)yuliansyah yuliansyah,(Universitas LampungIndonesia)     Pág. 389 - 403
This research attempts to examine how customer relationship management and customer experience influence customer satisfaction in Lampung Province retail complexes. Data was taken using non-random sampling method with purposive sampling technique and use... ver más

 
Cut Ani Rohana, Asep Muhamad Ramdan, Acep Samsudin     Pág. 1515 - 1520
The research was aimed at determining how much influence of Value Co-creation has toward ti visitor satisfaction and determining the influence of brand equity on visitor satisfaction at 3-star hotels in Sukabumi City. The research applied descriptive ass... ver más

 
Mitasari Mitasari, Acep Samsudin, Nor Norisanti     Pág. 1538 - 1548
This study aims to determine the effect of work experience and gender on the quality of work of employees. This research uses descriptive method and associative method with quantitative approach. The population in this study are employees of the producti... ver más