Rapidly growing numbers of empirical papers assessing the financial effects of COVID-19 pandemic triggered an urgent need for a study summarising the existing knowledge of contagion phenomenon. This paper provides a review of conceptual approaches to studying financial contagion at four levels...

At the beginning of the 2020 global COVID-2019 pandemic, Chinese financial markets acted as the epicentre of both physical and financial contagion. Our results indicate that a number of characteristics expected during a "flight to safety" were present during the period analysed. The volatility...

We analyze volatility contagion between the U.S. and Chinese stock markets and international capital markets. The volatility is modeled using: GARCH, TARCH, EGARCH, APARCH, IGARCH, FIGARCH, ACGARCH and GAS models under Gaussian, GED and t-Student distributions. 21,000 intraday observations of...

We present a multi-city migration model to study the endogenous choices of migration during a pandemic and to evaluate various policy alternatives as well. Analytical solutions are provided under the two situations respectively: laissez-faire equilibrium and social optimum. We find that...

This paper investigates the dynamic characteristics of financial risk contagion during the COVID-19 pandemic based on multiscale complex networks. The data of 45 major international financial markets from July 2019 to March 2021 is collected to conduct the empirical study. The results show that:...

Utilizing cross-correlation-based Planar Maximally Filtered Graph, and conditional Value-at-Risk-based extreme risk spillover network approaches, we analyze the structure and dynamics of price contagion and risk transmission between different commodity groups in the global commodity futures...