In this study, we enhance the dynamic connectedness measures originally introduced by Diebold and Yılmaz (2012, 2014) with a time-varying parameter vector autoregressive model (TVP-VAR) which predicates upon a time-varying variance-covariance structure. This framework allows to capture possible...

In this study we examine the role of the Euro on currency co-movements and contagion considering six major currencies (i.e., EUR(DM), JPY, GBP, CHF, AUD, as well as, CAD) and their corresponding USD exchange rates. The period of study extends from January 2, 1975 to April 8, 2016. The selected...

Socially responsible investment (SRI) practices are increasingly widely adopted, and moving into mainstream investment activity. Among the suite of instruments available to responsible investors is a fixed-income offering known as a green bond - a specialized bond in which the use of proceeds...

This study investigates the dynamic transmission mechanism between COVID-19 news sentiment (Google Trends Index), and S&P100, crude oil and gold volatility indices using the recently developed time-varying parameter vector autoregressive (TVP-VAR) based extended joint connectedness approach...

We investigate connectedness within a network of environmental indices and crude oil by utilizing state-of-the-art empirical methods. Focusing on the relevance of both mean and volatility dynamics, we find that mean dynamics persistently account for less than 5% of overall dynamics implying...

In this paper, we estimate an asymmetric frequency TVP-VAR frequency connectedness model and further employ aggregated connectedness measures in order to identify whether cryptocurrencies drive investor sentiment. We find pronounced and time-varying interconnectedness within the cryptocurrency...