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I summarize/explain various academic crypto/blockchain/DLT research papers and presentations. This tweet thread contains links to these individual threads.
Taxonomy:Central Bank// “Central Bank cryptocurrencies” by Rodney Garratt & Morten Bech, published Sept. 2017 by Bank of International Settlements is also helpful to understand the distinction between a central bank crypto/digital currency(“money flower”)
Taxonomy: Central Bank// “The Case for Central Bank Electronic Money and the Non-case for Central Bank Cryptocurrencies” by Aleksander Beretsend (@aleksanderbere) & Fabian Schar (@chainomics) (“money cube”) compares central bank crypto vs. digital.
Empirical: Payment System// “What drives bitcoin adoption by retailers“ by Nicole Jonkers summarizes and examines survey data from the Netherlands on retailer acceptance of Bitcoin.
Empirical: Bitcoin Price// “Price Manipulation in the Bitcoin Ecosystem” by Neil Gandal, JT Hamrick, Tyler Moore (@TylerWMoore)& Tali Oberman, published May 2018 in Journal of Monetary Economics, studies price manipulation on Mt. Gox in 2013.
Empirical: Bitcoin Price// “Is Bitcoin Really Un-Tethered” by John Griffin and Amin Shams is an empirical paper that examines Tether and its…patterns.
Empirical: ICO market// “Digital Tulips? Returns to Investors in Initial Coin Offerings” written by Hugo Benedetti (@Prof_cryptoken) and Leonard Kostovetsky examines ICO market (returns and survival) and Twitter behavior
Taxonomy: DLT// "Distributed Ledger Technology Systems: A Conceptual Framework" (disclaimer/ad: I am a co-author). We present a flexible taxonomy to analyze and compare DLT such as blockchain. Could also be useful as a free reference/handbook in a class.
Empirical: Exchanges// “Do Bitcoin Exchanges Form A Fragmented or Unified Market?“ by Jerry Dwyer, Jeremy Choquette and Kyle Rechard examine whether the Bitcoin market is scaling by the number of exchanges.
Financial Modeling: Bitcoin Price// “Modeling Bitcoin Price and Bubbles” by Gianna Figa-Talamanca with Alessandra Cretarola builds a model to identify price bubbles without needing to specify a fundamental value.
Empirical: Measurement// Just a tweet thread about the impact of the currency unit when measuring Bitcoin trade volumes.
