On the speculative nature of cryptocurrencies: A study on Garman and Klass volatility measure
Document Type
Article
Publication Date
1-1-2020
Abstract
We propose to measure volatilities of 102 active cryptocurrencies using Garman and Klass (GK) volatility measures and model the measures using asymmetric bilinear Conditional Autoregressive Range (ABL-CARR) model. Results reveal volatility persistence and leverage effects which can improve the predictability of volatility, reduce risk and hence lessen the level of speculation in cryptocurrency market. We further relate volatility features for the top five cryptocurrencies to their time of development and transaction speed and recommend investors to distinguish between long-term or short-term speculation in their investment profile. © 2018 Elsevier Inc.
Keywords
Volatility, GK measure, Cryptocurrencies, CARR model
Divisions
MathematicalSciences
Funders
Fundamental Research Grant Scheme (FRGS) with grant no: FP041-2017A of the Ministry of Higher Education, Malaysia
Publication Title
Finance Research Letters
Volume
32
Publisher
Elsevier