"Sustainable investment"-includes a variety of asset classes selected while caring for the causes of environmental, social, and governance (ESG). It is an investment strategy that seeks to combine social and/ or environmental benefits with financial returns, thus linking investor’s social,...

Analyzing all publicly traded U.S. stocks for 2014-2021, using intraday data from TAQ, TRACE, I/B/E/S, and Capital IQ, using daily data from CRSP, Compustat, CRSP-Compustat Merged Database, and FRED, I find that abnormal reactions are systemically all out of the system within two hours after a...

Over the last two decades, Estimating Volatility of Financial Time Series has been given top priority in the investment decisions. Popular models of GARCH were traditionally used as an econometric tool to estimate volatility. In this paper, the GARCH (1,1) model is used. On the other hand,...

We investigate the behavior of daily aggregate U.S. CDS spreads during almost six years. Existing linkages between credit and equity markets advocate the use of market price and volatility channels as explanatory factors. In particular, the evolution of CDS spreads is analyzed along with the...

Though the issues of co-movement and volatility transmission between Islamic and conventional stock indices have been extensively studied worldwide, this is the first study in reference to Bangladesh to the best of our knowledge. The broad objective of this paper is to investigate whether...

We propose a multiplicative dynamic factor structure for the conditional modelling of the variances of an N-dimensional vector of financial returns. We identify common and idiosyncratic conditional volatility factors. The econometric framework is based on an observation-driven time series model...

We propose a new class of conditional heteroskedasticity in the volatility (CH-V) models which allows for time-varying volatility of volatility in the volatility of asset returns. This class nests a variety of GARCH-type models and the SHARV model of Ding (2021b). CH-V models can be seen as a...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...

We propose a copula-based periodic mixed frequency GAS framework in order to model and forecast the intraday Exposure Conditional Value at Risk (ECoVaR) for an intraday asset return and the corresponding market return. In particular we analyze GAS models which account for long-memory-type of...

We apply a multivariate multiplicative error model (MMEM) and investigate effects in the simultaneous processes of high-frequency return volatilities, trading volume, and trading intensities on the Italien Electronic Interbank Credit Market (e-MID). Analysing five minutes data from the Italian...