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...

During the last few decades, the political instability has increased to a great extent in Pakistan, which may intensify the investors’ fear and affects the decisions of investment in the long run. Therefore, it is essential to explore how the stock market reacts to political stability and to...

Using sovereign debt data from 47 countries, we document that the third moment (skewness) of unemployment changes has a positive and significant relation with sovereign bond returns. Thus, while investors require risk premia for exposure to macroeconomic shocks (Campbell, 1996), we find that the...

In this paper we make use of option-implied volatilities to build a time-varying implied correlation matrix. Then, we use this matrix to estimate jointly both the covariance matrix of the returns and the implied covariance matrix dynamics. Finally, we do a backtest and show that the proposed...