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Year of publication
Subject
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Virtual currency 3 Virtuelle Währung 3 crypto exchanges 2 Anti-money laundering and combating the financing of terrorism (AML/CFT) 1 Bitcoin 1 Bitcoin ETF 1 Blockchain 1 Blockchain and DLT 1 CFMs 1 Capital controls 1 Capital flow management 1 Capital flows 1 Capital income 1 Capital mobility 1 Comovement 1 Crypto-Exchanges 1 Cryptocurrency 1 Exchange rate 1 FINTECH note 1 Financial market regulation 1 Financial technology 1 Finanzmarktregulierung 1 Finanztechnologie 1 Geldwäsche 1 Global 1 Handelsvolumen der Börse 1 Index derivative 1 Indexderivat 1 Kapitaleinkommen 1 Kapitalmobilität 1 Kapitalverkehrskontrolle 1 Money laundering 1 Network Effect 1 Network economics 1 Netzwerkökonomik 1 Regtech 1 Return Structure 1 Suptech 1 Trading volume 1 Virtual currencies 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 3
Author
All
Alexander, Carol 1 He, Dong 1 Heck, Daniel F. 1 Kaeck, Andreas 1 Kokenyne Ivanics, Annamaria 1 Lavayssière, Xavier 1 Lukonga, Inutu 1 Schwarz, Nadine 1 Shams, Amin 1 Sugimoto, Nobuyasu 1 Verrier, Jeanne 1
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Published in...
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Applied mathematical finance 1 Charles A. Dice Center Working Paper 1 FinTech notes 1 Fisher College of Business working paper series 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
Cover Image
The role of binance in bitcoin volatility transmission
Alexander, Carol; Heck, Daniel F.; Kaeck, Andreas - In: Applied mathematical finance 29 (2022) 1, pp. 1-32
Persistent link: https://www.econbiz.de/10013554065
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Cover Image
Capital flow management measures in the digital age : challenges of crypto assets
He, Dong; Kokenyne Ivanics, Annamaria; Lavayssière, Xavier - 2022
Persistent link: https://www.econbiz.de/10013332638
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Cover Image
The structure of cryptocurrency returns
Shams, Amin - 2020
This paper documents a persistent structure in cryptocurrency returns and analyzes a broad set of characteristics that explain this structure. The results show that similarities in size, trading volume, age, consensus mechanism, and token industries drive the structure of cryptocurrency returns....
Persistent link: https://www.econbiz.de/10012216714
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