4.7 Article

A new way of measuring effects of financial crisis on contagion in currency markets

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.irfa.2023.102764

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Contagion; Causal Inference; Exchange Rates; Covid19; Financial Crises; Safe Haven Currencies; Explainable Machine Learning

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Contagion plays a crucial role in finance, as it is the core of most major financial crises, especially the global financial crisis in 2007. This study introduces a new measure for quantifying contagion among individual currencies in the Foreign exchange market and demonstrates the causal pathways of contagion using causal inference. By identifying the sources of contagion and assessing the diversification options and susceptibility to systemic risk of different currencies, this research provides insights into the level of global systemic risk, with a particular focus on the impacts of the Covid-19 pandemic.
Contagion is an extremely important topic in finance. Contagion is at the core of most major financial crises, in particular the global financial crisis that started in 2007. Although various approaches to quantifying contagion have been proposed, many of them lack a causal interpretation. We will present a new measure for contagion among individual currencies within the Foreign exchange market and show how the paths of contagion work within the Forex market using causal inference. This approach will allow us to pinpoint sources of contagion and to find which currencies offer good options for diversification and which are more susceptible to systemic risk, ultimately resulting in feedback on the level of global systemic risk. In particular, we will focus on the effects of the Covid-19 global pandemic.

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