This study examines the dynamic correlation and volatility spillover among the green bond, clean energy, and fossil fuel markets using daily data from 30 June 2014 to 18 October 2021. Using the Bayesian DCC-MGARCH model, we confirmed that the green bond has a weak negative correlation with the...

Assuming the time series of random returns to be jointly elliptical, we derive a relationship between its conditional variance and the probability density function of the conditioning set. In the case that such a relationship is linear in a quadratic form for of the conditioning variables, we...

This paper considers the question of the symmetry of inflation, exchange rate changes and GDP shocks between the EU15 and the new member countries. It applies a relatively new technique, the orthogonal GARCH model, which allows us to calculate a complete time varying correlation matrix for these...

The purpose of this study is to uncover the impacts of macroeconomic risks on oil price uncertainty. We consider three sub-periods, the 2008 global financial crisis, post-global financial crisis, and COVID-19 crisis. A quantile regression model is employed to investigate the related impacts...

We relax the strong rationality assumption for the agents in the paradigmatic Kyle model of price formation, thereby reconciling the framework of asymmetrically informed traders with the Adaptive Market Hypothesis, where agents use inductive rather than deductive reasoning. Building on these...

Multivariate GARCH models do not perform well in large dimensions due to the so-called curse of dimensionality. The recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this paper, we show how...