Foreign Currency Exchange Rate Prediction Using Long Short-Term Memory, Support Vector Regression and Random Forest Regression-Reference-Cited by-同舟云学术

Foreign Currency Exchange Rate Prediction Using Long Short-Term Memory, Support Vector Regression and Random Forest Regression

Published:2022 Issue: Volume: Page:251-267
ISSN:2730-6038
Container-title:Financial Data Analytics
language:
Short-container-title:

Author:

Rabbi Md. Fazle,Moon Mahmudul Hasan,Dhonno Fahmida Tasnim,Sultana Ayrin,Abedin Mohammad Zoynul

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-83799-0_8

Reference31 articles.

1. Abedin, M. Z., Chi, G., Moula, F. E., Azad, A. S. M. S., & Khan, M. S. U. (2019a). Topological applications of multilayer perceptrons and support vector machine in financial decision support systems. International Journal of Finance & Economics, 24, 474–507.

2. Abedin, M. Z., Chi, G., Moula, F. E., Zhang, T., & Hassan, K. M. (2019b). An optimized support vector machine intelligent technique using optimized feature selection methods: Evidence from chinese credit approval data. Journal of Risk Model Validation, 13(2), 1–46.

3. Arifovic, J., & Gençay, R. (2000). Statistical properties of genetic learning in a model of exchange rate. Journal of Economic Dynamics and Control, 24(5–7), 981–1005. https://doi.org/10.1016/S0165-1889(99)00033-0

4. Bradter, U., Kunin, W. E., Altringham, J. D., Thom, T. J., & Benton, T. G. (2013). Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm. Methods in Ecology and Evolution, 4(2), 167–174. https://doi.org/10.1111/j.2041-210x.2012.00253.x

5. Cavalcante, R. C., Brasileiro, R. C., Souza, V. L. F., Nobrega, J. P., & Oliveira, A. L. I. (2016). Computational intelligence and financial markets: A survey and future directions. Expert Systems with Applications, 55, 194–211. https://doi.org/10.1016/j.eswa.2016.02.006

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