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Mendeley readers
Chapter title |
Predicting the Volatility of Cryptocurrency Time-Series
|
---|---|
Chapter number | 37 |
Book title |
Mathematical and Statistical Methods for Actuarial Sciences and Finance
|
Published by |
Springer, Cham, July 2018
|
DOI | 10.1007/978-3-319-89824-7_37 |
Book ISBNs |
978-3-31-989823-0, 978-3-31-989824-7
|
Authors |
Leopoldo Catania, Stefano Grassi, Francesco Ravazzolo, Catania, Leopoldo, Grassi, Stefano, Ravazzolo, Francesco |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 84 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 20 | 24% |
Student > Bachelor | 9 | 11% |
Student > Ph. D. Student | 8 | 10% |
Researcher | 4 | 5% |
Lecturer | 3 | 4% |
Other | 12 | 14% |
Unknown | 28 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 15 | 18% |
Computer Science | 14 | 17% |
Business, Management and Accounting | 11 | 13% |
Social Sciences | 4 | 5% |
Mathematics | 2 | 2% |
Other | 6 | 7% |
Unknown | 32 | 38% |