Causality-in-mean and causality-in-variance among Bitcoin, Litecoin, and Ethereum

E Gemici, M Polat - Studies in Economics and Finance, 2021 - emerald.com
Purpose This study aims to examine the volatility spillovers between Bitcoin (BTC), Litecoin
(LTC) and Ethereum (ETH) as they are related to structural breaks. Design/methodology …

A core-based quota allocation model for the Bitcoin-refunded Blockchain network

E Bolonhez, T Silva, B Fanzeres - Expert Systems with Applications, 2022 - Elsevier
Bitcoin operates in a Blockchain network under which a group of participants are
responsible for adding new blocks to the chain. The participants are called miners and the …

Stochastic modeling approaches for analyzing blockchain: A survey

H Kang, X Chang, J Mišić, VB Mišić, Y Yao… - arXiv preprint arXiv …, 2020 - arxiv.org
Blockchain technology has been attracting much attention from both academia and industry.
It brings many benefits to various applications like Internet of Things. However, there are …

Investigation of financial markets performance due to coronavirus outbreak: EGARCH and bivariate regression approach

A Rokhsari, N Doodman… - International Journal of …, 2022 - inderscienceonline.com
The emergence of COVID-19 since December 2019 has dramatically affected financial
markets and economies across the world. This paper aims to investigate the detrimental …

Bitcoin's innovative aspects, return volatility and uncertainty shocks

BF Frascaroli - International Journal of Financial Markets …, 2020 - inderscienceonline.com
This paper investigates how Bitcoin's (BTC) return volatility is affected by the main global
financial market indicators, its own innovative aspects and uncertainty. First, the strategy …

Previsão de value-at-risk para o mercado de criptomoedas usando modelos EGARCH com regimes markovianos

PF Marschner, PS Ceretta - Brazilian Review of Finance, 2020 - periodicos.fgv.br
This study aims to understand the volatile behavior of six highly representative
cryptocurrencies. To do so, EGARCH and Markov-switching EGARCH models were …

Co-skewness, co-kurtosis and their implications on asset pricing of cryptocurrencies

NB Zsolt, B Botond - International Journal of Financial …, 2021 - inderscienceonline.com
This study examines several asset pricing specifications applied for a sample of 72
cryptocurrencies. We extend the existing literature on asset pricing of cryptocurrencies by …

Forecasting value-at-risk for the cryptocurrency market using Markov-switching EGARCH models/Previsao de value-at-risk para o mercado de criptomoedas usando …

PF Marschner, PS Ceretta - Revista Brasileira de Financas, 2020 - go.gale.com
This study aims to understand the volatile behavior of six highly representative
cryptocurrencies. To do so, EGARCH and Markov-switching EGARCH models were …

[PDF][PDF] A Nucleolus-Based Quota Allocation Model for the Bitcoin-Refunded Blockchain Network

E Bolonhez, T Silva, BF dos Santos - 2021 - scholar.archive.org
The Bitcoin operates in a Blockchain network under which a group of participants are
responsible for adding new blocks into the chain. These participants are called miners and …

[PDF][PDF] Bitcoin's return volatility and uncertainty shocks

BF Frascaroli - 2019 - anpec.org.br
This paper investigates how Bitcoin's (BTC) return volatility is affected by its own innovative
aspects, by the main global financial market indicators, and by shocks on volatility and …