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Multidimensional k -nearest neighbor model based on EEMD for financial time series forecasting

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References

2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
2007A new approach for crude oil price analysis based on Empirical Mode Decomposition447 cited
1999A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series446 cited
1996Forecasting stock market volatility using (non-linear) Garch models394 cited
2001Financial Forecasting Using Support Vector Machines392 cited
2002Predicting stock price using fuzzy grey prediction system270 cited
1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets261 cited
1997Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models258 cited
2003A comparative study of linear and nonlinear models for aggregate retail sales forecasting246 cited
1997An artificial neural network-GARCH model for international stock return volatility227 cited
1993Forecasting S&P and gold futures prices: An application of neural networks175 cited
2007Predicting stock index increments by neural networks: The role of trading volume under different horizons161 cited

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2020

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Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting

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