Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models.

Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models.

Kyriazis, Νikolaos A;Daskalou, Kalliopi;Arampatzis, Marios;Prassa, Paraskevi;Papaioannou, Evangelia;
Heliyon 2019 Vol. 5 pp. e02239
246
kyriazis2019estimatingheliyon

Abstract

This study examines the volatility of certain cryptocurrencies and how they are influenced by the three highest capitalization digital currencies, namely the Bitcoin, the Ethereum and the Ripple. We use daily data for the period 1 January 2018-16 September 2018, which represents the bearish market of cryptocurrencies. The impact of the decline of these three cryptocurrencies on the returns of the other virtual currencies is examined with models of the ARCH and GARCH family, as well as the DCC-GARCH. The main conclusion of the study is that the majority of cryptocurrencies are complementary with Bitcoin, Ethereum and Ripple and that no hedging abilities exist among principal digital currencies in distressed times.

Citation

ID: 101836
Ref Key: kyriazis2019estimatingheliyon
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
101836
Unique Identifier:
10.1016/j.heliyon.2019.e02239
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet