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Application of integrated data mining techniques in stock market forecasting
Huang, Chin-yin; Lin, Philip K. P. - In: Cogent economics & finance 2 (2014) 1, pp. 2-17
market. Therefore, the current research focuses in the stock forecasting area is to improve the accuracy of stock trading … stock market forecasting. …
Persistent link: https://www.econbiz.de/10010482340
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Efficacy of Artificial Neural Networks (ANN) as a tool for predictive analytics
Sinha, Deepti; Sarangi, Pradeepta Kumar; Sinha, Sachin - In: Analytics Enabled Decision Making, (pp. 123-138). 2023
Persistent link: https://www.econbiz.de/10014302861
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Alternative Methods of Estimating Potential Output and the Output Gap; An Application to Sweden
Saxena, Sweta Chaman; Cerra, Valerie - International Monetary Fund (IMF) - 2000
This paper reviews a number of different methods that can be used to estimate potential output and the output gap. Measures of potential output and the output gap are useful to help identify the scope for sustainable noninflationary growth and to allow an assessment of the stance of...
Persistent link: https://www.econbiz.de/10005605416
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Adaptive neuro-fuzzy inference system approach for urban sustainability assessment : a China case study
Tan, Yongtao; Shuai, Chenyang; Jiao, Liudan; Shen, Liyin - In: Sustainable development 26 (2018) 6, pp. 749-764
Persistent link: https://www.econbiz.de/10011973658
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MOONA software for survey classification and evaluation of criteria to support decision-making for properties portfolio
Baierle, Ismael Cristofer; Schaefer, Jones Luis; … - In: International journal of strategic property management 24 (2020) 4, pp. 226-236
Persistent link: https://www.econbiz.de/10013414888
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A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems
Azadeh, Mohammad Ali; Boskabadi, Azam; Pashapour, Shima - In: International journal of services and operations management 21 (2015) 2, pp. 217-237
Persistent link: https://www.econbiz.de/10011380081
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Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish; Thenmozhi, M. - In: International journal of banking, accounting and finance 5 (2013/2014) 3, pp. 284-308
Persistent link: https://www.econbiz.de/10011474500
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Prediction of financial crisis with artificial neural network : an empirical analysis on Turkey
Aydın, Alev Dilek; Cavdar, Seyma Çalıskan - In: International journal of financial research 6 (2015) 4, pp. 36-45
Persistent link: https://www.econbiz.de/10011405359
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An intelligent algorithm for optimum forecasting of manufacturing lead times in fuzzy and crisp environments
Azadeh, Mohammad Ali; Ziaeifar, Amin; Pichka, Khosro; … - In: International journal of logistics systems and management 16 (2013) 2, pp. 186-210
Persistent link: https://www.econbiz.de/10010222775
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Predicting monetary policy using artificial neural networks
Hinterlang, Natascha - 2020
This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve … forecasting purposes. Overall, evidence suggests that U.S. monetary policy behaviour between1987-2012 is nonlinear. …
Persistent link: https://www.econbiz.de/10012256503