Herding behaviour in digital currency markets: An integrated survey and empirical estimation
This paper reviews the empirical literature on the highly popular phenomenon of herding behaviour in the markets of digital currencies. Furthermore, a comparison takes place with outcomes from earlier studies about traditional financial assets. Moreover, we empirically investigate herding behaviour...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12232
- Acceso en línea:
- https://doi.org/10.1016/j.heliyon.2020.e04752
http://hdl.handle.net/20.500.12010/12232
- Palabra clave:
- Bitcoin
Digital currency
Cryptocurrency
Herding
Survey
Finance
Behavioral economics
International economics
Money
Pricing
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Abierto (Texto Completo)
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| dc.title.spa.fl_str_mv |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| title |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| spellingShingle |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation Bitcoin Digital currency Cryptocurrency Herding Survey Finance Behavioral economics International economics Money Pricing Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| title_short |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| title_full |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| title_fullStr |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| title_full_unstemmed |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| title_sort |
Herding behaviour in digital currency markets: An integrated survey and empirical estimation |
| dc.subject.spa.fl_str_mv |
Bitcoin Digital currency Cryptocurrency Herding Survey Finance Behavioral economics International economics Money Pricing |
| topic |
Bitcoin Digital currency Cryptocurrency Herding Survey Finance Behavioral economics International economics Money Pricing Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| dc.subject.lemb.spa.fl_str_mv |
Síndrome respiratorio agudo grave COVID-19 SARS-CoV-2 Coronavirus |
| description |
This paper reviews the empirical literature on the highly popular phenomenon of herding behaviour in the markets of digital currencies. Furthermore, a comparison takes place with outcomes from earlier studies about traditional financial assets. Moreover, we empirically investigate herding behaviour of 240 cryptocurrencies during bull and bear markets. The present survey suggests that empirical findings about whether herding phenomena have made a significant appearance or not in cryptocurrency markets are split. The Cross-sectional absolute deviations (CSAD) and Cross-sectional standard deviations (CSSD) approaches for measuring herding tendencies are found to be the most popular. Different behaviour is detected in bull periods compared to bear markets. Nevertheless, evidence from primary studies indicates that herding is stronger during extreme situations rather than in normal conditions. However, our empirical estimations reveal that herding behaviour is evident only in bull markets. These findings cast light on and provide a roadmap for investment decisions with modern forms of liquidity. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-08-25T19:16:49Z |
| dc.date.available.none.fl_str_mv |
2020-08-25T19:16:49Z |
| dc.date.created.none.fl_str_mv |
2020 |
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Artículo |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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2405-8440 |
| dc.identifier.other.spa.fl_str_mv |
https://doi.org/10.1016/j.heliyon.2020.e04752 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/12232 |
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https://doi.org/10.1016/j.heliyon.2020.e04752 |
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2405-8440 |
| url |
https://doi.org/10.1016/j.heliyon.2020.e04752 http://hdl.handle.net/20.500.12010/12232 |
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eng |
| language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
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Abierto (Texto Completo) |
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Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
| dc.format.extent.spa.fl_str_mv |
14 páginas |
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application/pdf |
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Heliyon |
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2020-08-25T19:16:49Z2020-08-25T19:16:49Z20202405-8440https://doi.org/10.1016/j.heliyon.2020.e04752http://hdl.handle.net/20.500.12010/12232https://doi.org/10.1016/j.heliyon.2020.e04752This paper reviews the empirical literature on the highly popular phenomenon of herding behaviour in the markets of digital currencies. Furthermore, a comparison takes place with outcomes from earlier studies about traditional financial assets. Moreover, we empirically investigate herding behaviour of 240 cryptocurrencies during bull and bear markets. The present survey suggests that empirical findings about whether herding phenomena have made a significant appearance or not in cryptocurrency markets are split. The Cross-sectional absolute deviations (CSAD) and Cross-sectional standard deviations (CSSD) approaches for measuring herding tendencies are found to be the most popular. Different behaviour is detected in bull periods compared to bear markets. Nevertheless, evidence from primary studies indicates that herding is stronger during extreme situations rather than in normal conditions. However, our empirical estimations reveal that herding behaviour is evident only in bull markets. These findings cast light on and provide a roadmap for investment decisions with modern forms of liquidity.14 páginasapplication/pdfengHeliyonreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoBitcoinDigital currencyCryptocurrencyHerdingSurveyFinanceBehavioral economicsInternational economicsMoneyPricingSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusHerding behaviour in digital currency markets: An integrated survey and empirical estimationArtículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Kyriazis, Nikolaos A.ORIGINAL1-s2.0-S2405844020315954-main.pdf1-s2.0-S2405844020315954-main.pdfVer artículoapplication/pdf843086https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12232/1/1-s2.0-S2405844020315954-main.pdf03d23e82e6bab092c41e43ec5135eab9MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12232/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAIL1-s2.0-S2405844020315954-main.pdf.jpg1-s2.0-S2405844020315954-main.pdf.jpgIM Thumbnailimage/jpeg19708https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/12232/3/1-s2.0-S2405844020315954-main.pdf.jpge4b438fa7caf1da41acf4ab71c91ab1fMD53open access20.500.12010/12232oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/122322020-08-25 14:16:49.351open accessRepositorio Institucional - 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