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Predicting bitcoin returns using high-dimensional technical indicators
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Zeitschriftentitel: | The Journal of Finance and Data Science |
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Personen und Körperschaften: | , , |
In: | The Journal of Finance and Data Science, 5, 2019, 3, S. 140-155 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Elsevier BV
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Schlagwörter: |
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Huang, Jing-Zhi Huang, William Ni, Jun Huang, Jing-Zhi Huang, William Ni, Jun |
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Huang, Jing-Zhi Huang, William Ni, Jun |
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Huang, Jing-Zhi Huang, William Ni, Jun The Journal of Finance and Data Science Predicting bitcoin returns using high-dimensional technical indicators Applied Mathematics Computer Science Applications Economics and Econometrics Finance Business, Management and Accounting (miscellaneous) Statistics and Probability |
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huang, jing-zhi |
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Huang, Jing-Zhi Huang, William Ni, Jun 2405-9188 Elsevier BV Applied Mathematics Computer Science Applications Economics and Econometrics Finance Business, Management and Accounting (miscellaneous) Statistics and Probability http://dx.doi.org/10.1016/j.jfds.2018.10.001 Predicting bitcoin returns using high-dimensional technical indicators The Journal of Finance and Data Science |
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title |
Predicting bitcoin returns using high-dimensional technical indicators |
title_unstemmed |
Predicting bitcoin returns using high-dimensional technical indicators |
title_full |
Predicting bitcoin returns using high-dimensional technical indicators |
title_fullStr |
Predicting bitcoin returns using high-dimensional technical indicators |
title_full_unstemmed |
Predicting bitcoin returns using high-dimensional technical indicators |
title_short |
Predicting bitcoin returns using high-dimensional technical indicators |
title_sort |
predicting bitcoin returns using high-dimensional technical indicators |
topic |
Applied Mathematics Computer Science Applications Economics and Econometrics Finance Business, Management and Accounting (miscellaneous) Statistics and Probability |
url |
http://dx.doi.org/10.1016/j.jfds.2018.10.001 |
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spelling | Huang, Jing-Zhi Huang, William Ni, Jun 2405-9188 Elsevier BV Applied Mathematics Computer Science Applications Economics and Econometrics Finance Business, Management and Accounting (miscellaneous) Statistics and Probability http://dx.doi.org/10.1016/j.jfds.2018.10.001 Predicting bitcoin returns using high-dimensional technical indicators The Journal of Finance and Data Science |
spellingShingle | Huang, Jing-Zhi, Huang, William, Ni, Jun, The Journal of Finance and Data Science, Predicting bitcoin returns using high-dimensional technical indicators, Applied Mathematics, Computer Science Applications, Economics and Econometrics, Finance, Business, Management and Accounting (miscellaneous), Statistics and Probability |
title | Predicting bitcoin returns using high-dimensional technical indicators |
title_full | Predicting bitcoin returns using high-dimensional technical indicators |
title_fullStr | Predicting bitcoin returns using high-dimensional technical indicators |
title_full_unstemmed | Predicting bitcoin returns using high-dimensional technical indicators |
title_short | Predicting bitcoin returns using high-dimensional technical indicators |
title_sort | predicting bitcoin returns using high-dimensional technical indicators |
title_unstemmed | Predicting bitcoin returns using high-dimensional technical indicators |
topic | Applied Mathematics, Computer Science Applications, Economics and Econometrics, Finance, Business, Management and Accounting (miscellaneous), Statistics and Probability |
url | http://dx.doi.org/10.1016/j.jfds.2018.10.001 |