%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 }