We aim to provide a comprehensive overview of the past, present, and future development of environmental related topics in Economics and Finance. In this regard, Environmental Finance (EF)- and Environmental, Social, and Governance (ESG)-related literature is collected and analysed. The paper...

This paper investigates if changes in network connectedness of European sovereign bond markets from 2005 to 2011 was an indicator of the subsequent financial crisis. The unified methodology proposed by Diebold and Yilmaz (2014) is used to overcome weaknesses in alternative methodologies to...

We propose new Unconditional, Independence and Conditional Coverage VaR-forecast backtests for the case of annuity pricing under a Bayesian framework that significantly minimise the direct and indirect effects of $p$-hacking or other biased outcomes in decision-making, in general. As a...

The aims of this paper are to detect evidence of institutional investor herding behaviour and examine the role that investor sentiment plays in the institutional investor herd behaviour. We use bivariate GARCH method estimated time varying beta to estimate herding variables of UK open-ended and...

Institutional investors have significantly increased exposure to commodity futures especially oil futures after 2004 in a process called commodity market financialization, raising questions about the risk-sharing and price-discovery functions of the market. We propose an ARMA-GARCH R-vine copula...

In this paper, we propose a network-based analytical framework that exploits cointegration and the error correction model to systematically investigate the directions and intensities in terms of the short-run disequilibrium adjustment towards long-run equilibrium affecting the international...

We propose a new Unconditional Coverage backtest for VaR-forecasts under a Bayesian framework that significantly minimise the direct and indirect effects of p-hacking or other biased outcomes in decision-making, in general. Especially, after the global financial crisis of 2007-09, regulatory...

Concerning the essence of risk, a joint replenishment and delivery scheduling problem with fuzzy cost-related parameters and random number of imperfect quality items is developed to make it suitable for the inherent uncertainties of procurement-shipment process. The mathematical modeling-based...

ABSTRACT This paper uses a relatively new quantitative model for estimating UK banks' liquidity risk. The model is called the exposure‐based cash‐flow‐at‐risk (CFaR) model, which not only measures a bank's liquidity risk tolerance but also helps to improve liquidity risk management...