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Chu, Jeffrey; Chan, Stephen; Nadarajah, Saralees; … - In: Journal of risk and financial management : JRFM 10 (2017) 4, pp. 1-15

With the exception of Bitcoin, there appears to be little or no literature on GARCH modelling of cryptocurrencies. This paper provides the first GARCH modelling of the seven most popular cryptocurrencies. Twelve GARCH models are fitted to each cryptocurrency, and their fits are assessed in terms...

Persistent link: https://www.econbiz.de/10011854856

Does the assumption on innovation process play an important role for filtered historical simulation model?

Altun, Emrah; Tatlidil, Huseyin; Ozel, Gamze; … - In: Journal of risk and financial management : JRFM 11 (2018) 1, pp. 1-13

Most of the financial institutions compute the Value-at-Risk (VaR) of their trading portfolios using historical simulation-based methods. In this paper, we examine the Filtered Historical Simulation (FHS) model introduced by Barone-Adesi et al. (1999) theoretically and empirically. The main goal...

Persistent link: https://www.econbiz.de/10011855007

Forecasting Value at Risk and expected shortfall of foreign exchange rate volatility of major African currencies via GARCH and dynamic conditional correlation analysis

Afuecheta, Emmanuel; Okorie, Idika E.; Nadarajah, Saralees - In: Computational economics 63 (2024) 1, pp. 271-304

Persistent link: https://www.econbiz.de/10014472109

A statistical analysis of the Colombo stock returns

Zhang, Zili; Nadarajah, Saralees - In: Global business review 22 (2021) 1, pp. 101-118

Persistent link: https://www.econbiz.de/10012483216

GARCH Modeling of Cryptocurrencies

Chu, Jeffrey - 2017

With the exception of Bitcoin, there appears to be little or no literature on GARCH modeling of cryptocurrencies. This paper provides the first GARCH modeling of the seven most popular cryptocurrencies. Twelve GARCH models are fitted to each cryptocurrency and their fits are assessed in terms of...

Persistent link: https://www.econbiz.de/10012946406