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%0 Journal Article
%1 journals/eswa/PengASPM18
%A Peng, Yaohao
%A Albuquerque, Pedro Henrique Melo
%A de Sá, Jáder Martins Camboim
%A Padula, Ana Julia Akaishi
%A Montenegro, Mariana Rosa
%D 2018
%J Expert Syst. Appl.
%K dblp
%P 177-192
%T The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression.
%U http://dblp.uni-trier.de/db/journals/eswa/eswa97.html#PengASPM18
%V 97
@article{journals/eswa/PengASPM18,
added-at = {2023-08-21T00:00:00.000+0200},
author = {Peng, Yaohao and Albuquerque, Pedro Henrique Melo and de Sá, Jáder Martins Camboim and Padula, Ana Julia Akaishi and Montenegro, Mariana Rosa},
biburl = {https://www.bibsonomy.org/bibtex/23913208ff2caf248bd477539646b82ff/dblp},
ee = {https://doi.org/10.1016/j.eswa.2017.12.004},
interhash = {44dcb8888a00bf9b768bc65b907ce9bc},
intrahash = {3913208ff2caf248bd477539646b82ff},
journal = {Expert Syst. Appl.},
keywords = {dblp},
pages = {177-192},
timestamp = {2024-04-08T10:07:55.000+0200},
title = {The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression.},
url = {http://dblp.uni-trier.de/db/journals/eswa/eswa97.html#PengASPM18},
volume = 97,
year = 2018
}