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An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting.

, , , and . Expert Syst. Appl., 36 (3): 4951-4957 (2009)

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Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting., , , and . Australian Conference on Artificial Intelligence, volume 4304 of Lecture Notes in Computer Science, page 607-616. Springer, (2006)Artificial neural networks for non-stationary time series., , , and . Neurocomputing, (2004)Usefulness of artificial neural networks for early warning system of economic crisis., , , and . Expert Syst. Appl., 26 (4): 583-590 (2004)Stock market stability index: An intelligent approach., , , , and . Intell. Data Anal., 13 (6): 983-993 (2009)An early warning system for detection of financial crisis using financial market volatility., , and . Expert Syst. J. Knowl. Eng., 23 (2): 83-98 (2006)Lag-ℓ forecasting and machine-learning algorithms., , , , and . Expert Syst. J. Knowl. Eng., 28 (3): 269-282 (2011)Neural network foreign exchange trading system using CCS-IRS basis: Empirical evidence from Korea., , , and . Expert Syst. Appl., (2022)Piecewise nonlinear model for financial time series forecasting with artificial neural networks., and . Intell. Data Anal., 6 (2): 175-185 (2002)Intelligent stock market instability index: Application to the Korean stock market., , , , , and . Intell. Data Anal., 19 (4): 879-895 (2015)Using rough set to support investment strategies of real-time trading in futures market., , , and . Appl. Intell., 32 (3): 364-377 (2010)