This study employs the Structural Break Threshold Vector Autoregression (SBTVAR) models to examine the asymmetric effects of policy shocks on the price volatility of various asset classes. The results indicate that pandemic-induced economic policy uncertainty and national lockdowns triggered a...

The Dynamic Conditional Correlation GARCH (DCC-GARCH) mutation model is considered using a Monte Carlo approach via Markov chains in the estimation of parameters, time-dependence variation is visually demonstrated. Fifteen indices were analyzed from the main financial markets of developed and...

Modelling the volatility (or kurtosis) of the implied volatility is an important aspect of financial markets when analysing market consensus and risk strategies. The purpose of this study is to evaluate the ability of symmetric and asymmetric GARCH systems to model the volatility of the FTSE 100...

We implement multivariate, self-exciting Peaks-over-Threshold (POT) methods to measure extremal losses in high-frequency return series of cryptocurrencies. For that purpose, we implement trivariate Hawkes-POT and the autoregressive conditional intensity ACI-POT models for Bitcoin, Ethereum, and...

We apply the statistical sparse jump model, a recently developed, interpretable and robust regime switching model, to infer key features that drive the return dynamics of the largest cryptocurrencies. The algorithm jointly performs feature selection, parameter estimation, and state...

The future of e-money is crypocurrencies, it is the decentralize digital and virtual currency that is secured by cryptography. It has become increasingly popular in recent years attracting the attention of the individual, investor, media, academia and governments worldwide. This study aims to...

This paper examines the spillover effects of the US economic policy uncertainty (EPU) on the UAE stock market volatility. The empirical analysis is mainly conducted using a novel approach based on combining the Diebold and Yilmaz (2014) connectedness index with the time-varying parameter vector...

The research in this paper is focused on the innovative range-based volatility models introduced in Alizadeh, Brandt, and Diebold (2002) (hereafter ABD). We develop new option pricing models using multi-factor diffusion approximations couched within this theoretical framework and examine their...

In this study, we document interesting properties of cryptoassets and empirically investigate the dynamic correlations between six major stablecoins and Bitcoin. It is evident that volatilities of Bitcoin and stablecoin returns exhibit asymmetric responses to good and bad news. We evaluate...