Search results for "Nikkei-225"

Found 10 publication records. Showing 10 according to the selection in the facets

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
147	Norio Baba	Utilization of NNs for Improving the Traditional Technical Analysis in the Financial Markets.	KES (3)	2006	DBLP DOI BibTeX RDF	traditional technical analysis, golden cross, dead cross, TOPIX, Nikkei-225, neural networks
96	Tadashi Iokibe, Takashi Kimura, Yasunari Fujimoto, Yasuyuki Kuratsu	Day-trading of Nikkei 225 Index Futures based on Chaos Theory.	WSTST	2005	DBLP DOI BibTeX RDF
59	Naoki Hashimoto, Qi Wu, Limei Zhu, Koji Inui, Kazuo Kishimoto	The Pareto distribution (Type Ⅲ) gives a good first approximation to the transaction intervals of Nikkei 225 Futures in the OSE.	JSIAM Lett.	2018	DBLP DOI BibTeX RDF
59	Naoto Kunitomo, Seisho Sato	The SIML estimation of realized volatility of the Nikkei-225 Futures and hedging coefficient with micro-market noise.	Math. Comput. Simul.	2011	DBLP DOI BibTeX RDF
59	An-Pin Chen, Chieh-Yow Chianglin, Hisu-Pei Chung	Establishing an Index Arbitrage Model by Applying Neural Networks Method - A Case Study of Nikkei 225 Index.	Int. J. Neural Syst.	2001	DBLP DOI BibTeX RDF
37	Chi-Jie Lu, Chih-Chou Chiu, Jung-Li Yang	Integrating Nonlinear Independent Component Analysis and Neural Network in Stock Price Prediction.	IEA/AIE	2009	DBLP DOI BibTeX RDF	Nonlinear independent component analysis, stock price, neural network, time series prediction
37	Lukas Pichl, Takuya Yamano, Taisei Kaizoji	On the Symbolic Analysis of Market Indicators with the Dynamic Programming Approach.	ISNN (2)	2006	DBLP DOI BibTeX RDF
37	Wei Huang 0006, Shouyang Wang, Lean Yu, Yukun Bao, Lin Wang 0001	A New Computational Method of Input Selection for Stock Market Forecasting with Neural Networks.	International Conference on Computational Science (4)	2006	DBLP DOI BibTeX RDF
37	Lean Yu, Shouyang Wang, Kin Keung Lai	A Novel Adaptive Learning Algorithm for Stock Market Prediction.	ISAAC	2005	DBLP DOI BibTeX RDF
37	Norio Baba, Toshinori Nomura	An Intelligent Utilization of Neural Networks for Improving the Traditional Technical Analysis in the Stock Markets.	KES (1)	2005	DBLP DOI BibTeX RDF

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