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The forecasting of consumer exchange-traded funds (ETFs) via grey relational analysis (GRA) and artificial neural network (ANN)

Malinda, Maya; Chen, Jo-hui - In: Empirical economics : a quarterly journal of the … 62 (2022) 2, pp. 779-823

Persistent link: https://www.econbiz.de/10012819493

Volatility forecasting of clean energy ETF using GARCH-MIDAS with neural network model

Zhang, Li; Wang, Lu; Thong Trung Nguyen; Ren, Ruiyi - In: Finance research letters 70 (2024), pp. 1-13

Persistent link: https://www.econbiz.de/10015193018

Dynamic modeling for product family evolution combined with artificial neural network based forecasting model : a study of iPhone evolution

Biswas, Sumana; Ali, Ismail; Chakrabortty, Ripon K.; … - In: Technological forecasting & social change : an … 178 (2022), pp. 1-21

Persistent link: https://www.econbiz.de/10013346701

Using data mining for service satisfaction performance analysis for mainland tourists in Taiwan

Pan, Wen-Tsao - In: International journal of technology management : IJTM 64 (2014) 1, pp. 31-44

Persistent link: https://www.econbiz.de/10010434537

Does intraday technical trading have predictive power in precious metal markets?

Batten, Jonathan A.; Lucey, Brian M.; McGroarty, Frank; … - In: Journal of international financial markets, … 52 (2018), pp. 102-113

Persistent link: https://www.econbiz.de/10011986199

Forecasting precious metal returns with multivariate random forests

Pierdzioch, Christian; Risse, Marian - In: Empirical economics : a journal of the Institute for … 58 (2020) 3, pp. 1167-1184

Persistent link: https://www.econbiz.de/10012219543

Directional returns for gold and silver : a cluster analysis approach

Malliaris, Anastasios G.; Malliaris, Mary E. - In: Handbook of recent advances in commodity and financial …, (pp. 3-16). 2018

Persistent link: https://www.econbiz.de/10011898586

Forecasting Gold Price Changes : Rolling and Recursive Neural Network Models

Parisi, Antonino - 2011

This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold … results shows the rolling ward networks exceed the recursive ward networks and feed forward networks in forecasting gold price … sign variation. The results support the use of neural networks with a dynamic framework to forecast the gold price sign …

Persistent link: https://www.econbiz.de/10013121966

Exchange rate model approximation, forecast and sensitivity analysis by neural networks, case of Iran

Pedram, Mehdi; Ebrahimi, Maryam - In: Inventi impact: microfinance & banking (2015) 1, pp. 25-38

Persistent link: https://www.econbiz.de/10010514052

Forecasting gold price changes : rolling and recursive neural network models

Parisi F., Antonino; Parisi F., Franco; Díaz, David - In: Journal of multinational financial management 18 (2008) 5, pp. 477-487

Persistent link: https://www.econbiz.de/10003789976