We model the allocation of central bank liquidity among the participants of the interbank market by using network analysis' metrics. Our analytical framework considers that a super-spreader simultaneously excels at receiving (borrowing) and distributing (lending) central bank's liquidity for the...

Network analysis has been applied to identify systemically important financial institutions after the 2008 financial crisis. Such applications have stressed the importance of centrality within the too-connected-to-fail concept.Yet, despite their well-known importance for financial stability,...

This PhD dissertation consists of six chapters related to applications of network analysis’ methods for financial stability. The first chapter introduces the network perspective as a new mapping technique for studying and understanding financial markets’ architecture. The second chapter...

This paper examines the impact of exogenous liquidity shocks in the unsecured interbank market. We evaluate the effects of idiosyncratic liquidity shocks - arising from deposits outflow at the bank level - and of the aggregate liquidity shock related to the U.S. tapering observed between May and...

This paper identifies bank-specific-characteristics and market conditions that contribute to determine prices and demand for liquidity in the interbank market as wells as banks' access to this market. Results indicate that riskier banks pay higher prices and borrow less liquidity, concurrent...