Search results for "banking crises"
showing 3 items of 3 documents
Interbank lending and the spread of bank failures: A network model of systemic risk
2012
We model a stylized banking system where banks are characterized by the amount of capital, cash reserves and their exposure to the interbank loan market as borrowers as well as lenders. A network of interbank lending is established that is used as a transmission mechanism for the failure of banks through the system. We trigger a potential banking crisis by exogenously failing a bank and investigate the spread of this failure within the banking system. We find the obvious result that the size of the bank initially failing is the dominant factor whether contagion occurs, but for the extent of its spread the characteristics of the network of interbank loans are most important. These results ha…
Financial crises in Spain: lessons from the last 150 years
2012
Financial crises are not unique to current financial systems. Are crises alike? Have they become more frequent, longer lasting and more severe since the 20th century? What does history tell us? The objective of this paper is to study the financial crises that have occurred in Spain over the last 150 years. We consider different types of crises (banking, currency and stock market crises), together with all their possible combinations, estimate their frequency by period and measure their length and depth. The main conclusion we obtain is that Spanish crises have been more frequent than in the rest of the world and have been more severe and more complex since 1973, as the 2007 crisis is confir…
Network-Based Computational Techniques to Determine the Risk Drivers of Bank Failures During a Systemic Banking Crisis
2018
This paper employs a computational model of solvency and liquidity contagion assessing the vulnerability of banks to systemic risk. We find that the main risk drivers relate to the financial connections a bank has and the market concentration, apart from the size of the bank triggering the contagion, while balance sheets play only a minor role. We also find that market concentration might facilitate banks to withstand liquidity shocks better while exposing them to larger solvency chocks. Our results are validated through an out-of-sample forecasting that shows that both type I and type II prediction errors are reduced if we include network characteristics in our prediction model.