Cryptocurrencies:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bradford, West Yorkshire
Emerald Publishing Limited
2022
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Studies in Economics and Finance Series
v.3 |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (205 Seiten) |
| ISBN: | 9781804551943 |
Internformat
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| 505 | 8 | |a Cover -- Guest editorial: Cryptocurrencies: current trends and future perspectives -- Predicting bitcoin price movements using sentimentan alysis: a machine learning approach -- Mining netizen's opinion on cryptocurrency: sentimentan alysis of Twitter data -- Is Bitcoin a safe haven? Application of FinTech to safeguard Australian stock markets -- Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era -- Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index -- Analysis of diversification benefits for cryptocurrency portfolios before and during theCOVID-19 pandemic -- Time series prediction using machine learning: a case of Bitcoin returns -- Accounting for crypto-assets:stake holders' perceptions -- Investor attention and cryptocurrency price crash risk: a quantile regression approach -- Dissecting the stock to flow model for Bitcoin -- Cryptocurrencies' hashrate and electricity consumption: evidence from mining activities | |
| 650 | 4 | |a Economics | |
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| 700 | 1 | |a Kinateder, Harald |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Wagner, Niklas |
| author_facet | Wagner, Niklas |
| author_role | aut |
| author_sort | Wagner, Niklas |
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| bvnumber | BV049874367 |
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| contents | Cover -- Guest editorial: Cryptocurrencies: current trends and future perspectives -- Predicting bitcoin price movements using sentimentan alysis: a machine learning approach -- Mining netizen's opinion on cryptocurrency: sentimentan alysis of Twitter data -- Is Bitcoin a safe haven? Application of FinTech to safeguard Australian stock markets -- Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era -- Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index -- Analysis of diversification benefits for cryptocurrency portfolios before and during theCOVID-19 pandemic -- Time series prediction using machine learning: a case of Bitcoin returns -- Accounting for crypto-assets:stake holders' perceptions -- Investor attention and cryptocurrency price crash risk: a quantile regression approach -- Dissecting the stock to flow model for Bitcoin -- Cryptocurrencies' hashrate and electricity consumption: evidence from mining activities |
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| dewey-full | 330 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
| dewey-raw | 330 |
| dewey-search | 330 |
| dewey-sort | 3330 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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Application of FinTech to safeguard Australian stock markets -- Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era -- Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index -- Analysis of diversification benefits for cryptocurrency portfolios before and during theCOVID-19 pandemic -- Time series prediction using machine learning: a case of Bitcoin returns -- Accounting for crypto-assets:stake holders' perceptions -- Investor attention and cryptocurrency price crash risk: a quantile regression approach -- Dissecting the stock to flow model for Bitcoin -- Cryptocurrencies' hashrate and electricity consumption: evidence from mining activities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics-Periodicals</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Finance</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Choudhury, Tonmoy</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kinateder, Harald</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Wagner, Niklas</subfield><subfield code="t">Cryptocurrencies</subfield><subfield code="d">Bradford, West Yorkshire : Emerald Publishing Limited,c2022</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035213825</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hwr/detail.action?docID=7079208</subfield><subfield code="l">DE-2070s</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">HWR_PDA_PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049874367 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-19T05:22:06Z |
| institution | BVB |
| isbn | 9781804551943 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035213825 |
| oclc_num | 1343249749 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (205 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Emerald Publishing Limited |
| record_format | marc |
| series2 | Studies in Economics and Finance Series |
| spelling | Wagner, Niklas Verfasser aut Cryptocurrencies 1st ed Bradford, West Yorkshire Emerald Publishing Limited 2022 ©2022 1 Online-Ressource (205 Seiten) txt rdacontent c rdamedia cr rdacarrier Studies in Economics and Finance Series v.3 Description based on publisher supplied metadata and other sources Cover -- Guest editorial: Cryptocurrencies: current trends and future perspectives -- Predicting bitcoin price movements using sentimentan alysis: a machine learning approach -- Mining netizen's opinion on cryptocurrency: sentimentan alysis of Twitter data -- Is Bitcoin a safe haven? Application of FinTech to safeguard Australian stock markets -- Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era -- Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index -- Analysis of diversification benefits for cryptocurrency portfolios before and during theCOVID-19 pandemic -- Time series prediction using machine learning: a case of Bitcoin returns -- Accounting for crypto-assets:stake holders' perceptions -- Investor attention and cryptocurrency price crash risk: a quantile regression approach -- Dissecting the stock to flow model for Bitcoin -- Cryptocurrencies' hashrate and electricity consumption: evidence from mining activities Economics Economics-Periodicals Finance Choudhury, Tonmoy Sonstige oth Kinateder, Harald Sonstige oth Erscheint auch als Druck-Ausgabe Wagner, Niklas Cryptocurrencies Bradford, West Yorkshire : Emerald Publishing Limited,c2022 |
| spellingShingle | Wagner, Niklas Cryptocurrencies Cover -- Guest editorial: Cryptocurrencies: current trends and future perspectives -- Predicting bitcoin price movements using sentimentan alysis: a machine learning approach -- Mining netizen's opinion on cryptocurrency: sentimentan alysis of Twitter data -- Is Bitcoin a safe haven? Application of FinTech to safeguard Australian stock markets -- Price efficiency and safe-haven property of Bitcoin in relation to stocks in the pandemic era -- Dynamic frequency relationships between bitcoin, oil, gold and economic policy uncertainty index -- Analysis of diversification benefits for cryptocurrency portfolios before and during theCOVID-19 pandemic -- Time series prediction using machine learning: a case of Bitcoin returns -- Accounting for crypto-assets:stake holders' perceptions -- Investor attention and cryptocurrency price crash risk: a quantile regression approach -- Dissecting the stock to flow model for Bitcoin -- Cryptocurrencies' hashrate and electricity consumption: evidence from mining activities Economics Economics-Periodicals Finance |
| title | Cryptocurrencies |
| title_auth | Cryptocurrencies |
| title_exact_search | Cryptocurrencies |
| title_full | Cryptocurrencies |
| title_fullStr | Cryptocurrencies |
| title_full_unstemmed | Cryptocurrencies |
| title_short | Cryptocurrencies |
| title_sort | cryptocurrencies |
| topic | Economics Economics-Periodicals Finance |
| topic_facet | Economics Economics-Periodicals Finance |
| work_keys_str_mv | AT wagnerniklas cryptocurrencies AT choudhurytonmoy cryptocurrencies AT kinatederharald cryptocurrencies |