In this paper, we develop an alternative approach to estimate the size of the shadow banking system, using official data reported to the IMF complemented by other data sources. We base our alternative approach on the expansion of the noncore liabilities concept developed in recent literature to encompass all noncore liabilities of both bank and nonbank financial institutions. As opposed to existing measures of shadow banking, our newly developed measures capture nontraditional funding raised by traditional banks. We apply the new approach to 26 jurisdictions and analyze the results over a twelve-year span. We find that noncore liabilities are procyclical and display more volatility than core liabilities for most jurisdictions in the sample. We also compare our measures to existing measures, such as the measure developed by the Financial Stability Board. Our approach can be replicated over time using internationally-comparable data and thus may serve as an operational tool for IMF surveillance and policy analysis.
The Gulf Cooperation Council region faced a significant economic toll from the COVID-19 pandemic and oil price shocks in 2020. Policymakers responded to the pandemic with decisive and broad measures to support households and businesses and mitigate the long-term impact on the economy. Financial vulnerabilities have been generally contained, reflecting ongoing policy support and the rebound in economic activity and oil prices, as well as banks entering the COVID-19 crisis with strong capital, liquidity, and profitability. The banking systems remained well-capitalized, but profitability and asset quality were adversely affected. Ongoing COVID-19 policy support could also obscure deterioration in asset quality. Policymakers need to continue to strike a balance between supporting recovery and mitigating risks to financial stability, including ensuring that banks' buffers are adequate to withstand prolonged pandemic and withdrawal of COVID-related policy support measures. Addressing data gaps would help policymakers to further assess vulnerabilities and mitigate sectoral risks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.