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A nonlinear approach to forecasting with leading economic indicators
Jagrič, Timotej (contributor) - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 7 (2003) 2
Persistent link: https://www.econbiz.de/10002004111
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A nonlinear extension of the NBER model for short-run forecasting of business cycles
Jagrič, Timotej; Strašek, Sebastjan - In: The South African journal of economics 73 (2005) 3, pp. 435-448
Persistent link: https://www.econbiz.de/10003202906
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Integration between technical indicators and artificial neural networks for the prediction of the exchange rate : evidence from emerging economies
Wagdi, Osama; Salman, Eman; Albanna, Hatem - In: Cogent economics & finance 11 (2023) 2, pp. 1-27
The study investigated the effectiveness of technical analysis indicators in trading spot exchange rates of emerging economies' currencies under integration with artificial neural networks (ANN) and the quantitative testing of these indicators' success in this matter with the goal of...
Persistent link: https://www.econbiz.de/10014502800
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Construction of Financial News Sentiment Indices Using Deep Neural Networks
Wang, Shaokai - 2019
With the progress in natural language processing and machine learning, using deep learning techniques to extract valuable information from financial texts has gained popularity among researchers. However, as deep learning models require large amounts of labelled data, current models for...
Persistent link: https://www.econbiz.de/10012860302
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Forecasting Business Surveys Indicators : Neural Networks vs. Time Series Models
Claveria, Oscar - 2014
(SETAR). We consider all the indicators of the question related to a country's general situation regarding overall economy … co-operation with the International Chamber of Commerce. The forecast competition is undertaken for fourteen countries of … the European Union. The main results of the forecast competition are offered for raw data for the period ranging from 1989 …
Persistent link: https://www.econbiz.de/10013045972
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The forecasting efficiency of monthly stock indices between macroeconomic factors and technical indicators by using augmented genetic algorithm and artificial neural network model
Goo, Yeong-Jia; Chen, Chia-Chen - In: Modern economy 11 (2020) 7, pp. 1329-1341
Persistent link: https://www.econbiz.de/10012506741
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Predicting next trading day closing price of Qatar exchange index using technical indicators and artificial neural networks
Fadlalla, Adam; Amani, Farzaneh - In: Intelligent systems in accounting finance and … 21 (2014) 4, pp. 209-223
Persistent link: https://www.econbiz.de/10010489782
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Forecasting of Stock Market Indices Using Artificial Neural Network
Desai, Dr.Jay - 2013
features of the network model, a suitable model for stocks forecast is proposed. The model has used the preprocessed data set …
Persistent link: https://www.econbiz.de/10013087069
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The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index
Thi Thu Giang Nguyen; Ślepaczuk, Robert - 2022
Persistent link: https://www.econbiz.de/10013474013
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A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks
Swanson, Norman R. - In: The review of economics and statistics 79 (1997) 4, pp. 540-550
Persistent link: https://www.econbiz.de/10001229897