Affiliation:
1. Far Eastern Federal University
2. National Research University Higher School of Economics; MGIMO MFA of Russia
Abstract
The subjectof this research is systemic risk transmission between financial sectors in the international financial market.The purposeof our paper is to determine topology characteristics for the network connecting banking systems in the Asia-Pacific region (APR) and Russia. Given the growing role of this region in the global financial market, its susceptibility to crises can be dangerous for other countries.This determines therelevanceof our study. To build the network, we used the SRISK indicators, which reflect capital losses in the financial institutions’ capital losses in case of a large-scale crisis. The networks were built with the use of theNETSalgorithm, proposed by Barigozzi, M., & Brownlees, C. (2019).Thismethodis based on sparse vector autoregressions estimated by LASSO. As a result of the application the algorithm, we get two networks—simultaneous interconnections and using the values of the lagged variables. The networks were constructed for the 2005–2020 time period and separately for sub-periods including the global financial crisis (2005– 2013) and the COVID-19 pandemic period (2014–2020).Based on theresultsobtained, the networks over the entire time period seem to be quite susceptible to external risks. China, Japan, Singapore and Taiwan are the largest shock donors in this region. Russia mainly accepts risks, generated by other countries, in the period 2014–2020. Strengthened/weakened cooperation with the largest risk exporters in this region will increase/decrease the likelihood of systemic risk transfer to the Russian financial sector.
Publisher
Financial University under the Government of the Russian Federation
Subject
Management of Technology and Innovation,Economics, Econometrics and Finance (miscellaneous),Finance,Business, Management and Accounting (miscellaneous)