A Comparison of Two Hölder Regularity Functions to Forecast Stock Indices by ANN Algorithms
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-24296-1_23
Reference27 articles.
1. Parveen, A.N., Inbarani, H.H., Kumar, E.S.: Performance analysis of unsupervised Feature selection methods. In: 2012 International Conference on Computing, Communication and Applications, pp. 1–7. IEEE (2012)
2. Kumar, P.S., Lopez, D.: A review on feature selection methodsfor high dimensional. Int. J. Eng. Technol. (IJET) 8, 0975–4024 (2016)
3. Zunino, L., Tabak, B.M., Figliola, A., Pérez, D.G., Garavaglia, M., Rosso, O.A.: A multifractal approach for stock market inefficiency. Physical A: Stat. Mech. Appl. 387(26), 6558–6566 (2008)
4. Mensi, W., Hamdi, A., Yoon, S.M.: Modelling multifractality and efficiency of GCC stock markets using the MF-DFA approach: a comparative analysis of global regional and islamic markets. Physical A. Stat. Mech. Appl. 503, 1107–1116 (2018)
5. Rak, R., Grech, D.: Quantitative approach to multifractality induced by correlations and broad distribution of data. Physical A. Stat. Mech. Appl. 508, 48–66 (2018)
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