Forecasting Value-at-Risk of Cryptocurrencies with RiskMetrics type models

W Liu, A Semeyutin, CKM Lau, G Gozgor - Research in International …, 2020 - Elsevier
Since the financial crisis, risk management has been of growing interest to investors and the
approach of Value-at-Risk has gained wide acceptance. Investing in Cryptocurrencies …

The efficiency of value-at-risk models during extreme market stress in cryptocurrencies

D Likitratcharoen, P Chudasring, C Pinmanee… - Sustainability, 2023 - mdpi.com
In recent years, the cryptocurrency market has been experiencing extreme market stress due
to unexpected extreme events such as the COVID-19 pandemic, the Russia and Ukraine …

[HTML][HTML] Semi-nonparametric risk assessment with cryptocurrencies

I Jiménez, A Mora-Valencia, J Perote - Research in International Business …, 2022 - Elsevier
This paper establishes a brand-new perspective of analyzing the risk of crypto assets
through a semi-nonparametric approach, discussing its theoretical advantages and testing …

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies

C Trucíos, JW Taylor - Journal of forecasting, 2023 - Wiley Online Library
Several procedures to forecast daily risk measures in cryptocurrency markets have been
recently implemented in the literature. Among them, long‐memory processes, procedures …

Forecasting and backtesting systemic risk in the cryptocurrency market

S Fang, G Cao, P Egan - Finance Research Letters, 2023 - Elsevier
Cryptocurrency has become an increasingly important tool in both portfolio investment and
government regulation. As a relatively new asset class, cryptocurrencies are prone to …

Value at risk performance in cryptocurrencies

D Likitratcharoen, TN Ranong… - The Journal of Risk …, 2018 - jrmi.au.edu
Due to conclusion could not rely on only one test, in this study, we apply various approaches
to verify the actuary of VaR model to find out whether VaR model, especially historical VaR …

Dependent metaverse risk forecasts with heteroskedastic models and ensemble learning

K Syuhada, V Tjahjono, A Hakim - Risks, 2023 - mdpi.com
Metaverses have been evolving following the popularity of blockchain technology. They
build their own cryptocurrencies for transactions inside their platforms. These new …

Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk

FM Müller, SS Santos, TW Gössling, MB Righi - Finance Research Letters, 2022 - Elsevier
Abstract We forecast the Range Value at Risk (RVaR) of main cryptocurrencies using the
GARCH model with different error distributions. We compare the performance of the different …

Assessing the credit risk of crypto-assets using daily range volatility models

D Fantazzini - Information, 2023 - mdpi.com
In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by
computing their probability of death using the daily range. Unlike conventional low …

Can cryptocurrencies be a safe haven: a tail risk perspective analysis

W Feng, Y Wang, Z Zhang - Applied Economics, 2018 - Taylor & Francis
Cryptocurrencies are one of the most promising financial innovations of the last decade.
Different from major stock indices and the commodities of gold and crude oil, the …