Arbeitspapier
Understanding Cryptocurrencies
Cryptocurrencies refer to a type of digital cash that use distributed ledger - or blockchain technology - to provide secure transactions. These currencies are generally misunderstood. While initially dismissed as fads or bubbles, many large central banks are considering launching their own version of national cryptocurrencies. In contrast to most data in nancial economics, there is a plethora of detailed (free) data on the history of every transaction for the cryptocurrency complex. Further, there is little empirically-oriented research on this new asset class. This is an extraordinary research opportunity for academia. We provide a starting point by giving an insight into cryptocurrency mechanisms and detailing summary statistics and focusing on potential future research avenues in nancial economics.
- Sprache
-
Englisch
- Erschienen in
-
Series: IRTG 1792 Discussion Paper ; No. 2018-044
- Klassifikation
-
Wirtschaft
Econometrics
Financial Econometrics
Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
Money Supply; Credit; Money Multipliers
General Financial Markets: General (includes Measurement and Data)
Cyber Law
Illegal Behavior and the Enforcement of Law
Information and Internet Services; Computer Software
Innovation and Invention: Processes and Incentives
- Thema
-
Cryptocurrency
Blockchain
Bitcoin
Economic bubbles
Peer-to-Peer
Cryptographic hashing
Consensus
Proof-of-Work
Proof-of-stake
Volatility
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Härdle, Wolfgang Karl
Harvey, Campbell R.
Reule, Raphael C. G.
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
- (wo)
-
Berlin
- (wann)
-
2018
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Härdle, Wolfgang Karl
- Harvey, Campbell R.
- Reule, Raphael C. G.
- Humboldt-Universität zu Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series"
Entstanden
- 2018
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