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Study on exchange rate forecasting using recurrent neural networks

Ye, Yuxi - In: International journal of economics, finance and … 5 (2017) 6, pp. 300-303

Persistent link: https://www.econbiz.de/10011825411

Short-term financial forecasting using ANN adaptive predictors in cascade

Dobrescu, Emilian; Nastac, Dumitru-Iulian; Pelinescu, Elena - In: International journal of process management and … 4 (2014) 4, pp. 376-405

Persistent link: https://www.econbiz.de/10011417291

Exchange rate forecasting using ensemble modeling for better policy implications

Tripathi, Manas; Kumar, Saurabh; Inani, Sarveshwar Kumar - In: Journal of time series econometrics 13 (2021) 1, pp. 43-71

Persistent link: https://www.econbiz.de/10012437825

Equalizing seasonal time series using artificial neural networks in predicting the Euro-Yuan exchange rate

Vochozka, Marek; Horák, Jakub; Šuleř, Petr - In: Journal of risk and financial management : JRFM 12 (2019) 2/76, pp. 1-17

The exchange rate is one of the most monitored economic variables reflecting the state of the economy in the long run, while affecting it significantly in the short run. However, prediction of the exchange rate is very complicated. In this contribution, for the purposes of predicting the...

Persistent link: https://www.econbiz.de/10012022122

Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate

Rowland, Zuzana; Lazaroiu, Gheorghe; Podhorská, Ivana - In: Risks : open access journal 9 (2021) 1/1, pp. 1-21

The global nature of the Czech economy means that quantitative knowledge of the influence of the exchange rate provides useful information for all participants in the international economy. Systematic and academic research show that the issue of estimating the Czech crown/Chinese yuan exchange...

Persistent link: https://www.econbiz.de/10012422880

Support vector regression based GARCH model with application to forecasting volatility of financial returns

Chen, Shiyi (contributor); Jeong, Kiho (contributor); … - 2008

In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...