Zaheer Anwer, Wajahat Azmi, M. Kabir Hassan, Shamsher Mohamad
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引用次数: 0
Abstract
We examine the default risk spillover for two groups of global energy firms, including top energy firms from seven different sectors as well as energy firms scoring highest in terms of environment disclosure. We first perform a bibliometric review to uncover the trends in existing literature related to our research objectives. We then utilize novel, daily frequency data of ‘distance to default’ measure to perform two important co-movement techniques namely wavelet and TVP-VAR. The sample period is from 29 June 2009 to 30 June 2021. Our wavelet results reveal that both the groups exhibit spillover of default risk. However, there is higher interdependence of default risk in environment conscious energy firms during normal as well as crisis periods. The TVP-VAR results portray the interaction across both groups of firms and show heightened connectedness between the sampled firms for the sample period. We also identify net transmitters and receivers of shocks. The results carry important implications for investors and policymakers.
期刊介绍:
Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing