We investigate the euro unsecured interbank money market during the current financial crisis. To identify the loans traded in this market and settled in TARGET2, we extend the algorithm developed by Furfine (1999) and adapt it to the European interbank loan market with maturity up to one year....

This experimental study investigates the behavior of banks in a large value payment system. More specifically, we look at the reactions of banks to disruptions in the payment system, the way in which the history of disruptions affects the behavior of banks (path dependency) and the effect of...

We develop indicators for signs of liquidity shortages and potential financial problems of banks by studying transaction data of the Dutch part of the European real time gross settlement system and collateral management data. The indicators give information on 1) overall liquidity position, 2)...

This paper investigates how changes in the monetary policy framework have affected the overnight money market lending rate for the Dutch segment of the euro area during tranquil and crisis times. We present an EGARCH model on the volatility of the overnight lending rate. The results show that...

This paper develops a methodology, based on Furfine (1999), to identify unsecured interbank money market loans from transaction data of the most important euro processing payment system, TARGET2, for maturity ranging from one day (overnight) up to three months. The implementation has been...

Canada's Large Value Transfer System (LVTS) is in the process of being replaced by a real-time gross settlement (RTGS) system. A pure RTGS system typically requires participants to hold large amounts of intraday liquidity in order to settle their payment obligations. Implementing one or more...

Canadian Large Value Transfer System. We define an operational outage as either no or unusually low activity. We test our algorithm against a database of outages by participants reported in order to reduce false negatives. The false positives can be reduced by excluding “outages found” by...

Financial market infrastructures and their participants play a crucial role in the economy. Financial or operational challenges faced by one participant can have contagion effects and pose risks to the broader financial system. Our paper applies (deep) neural networks (autoencoder) to detect...

This paper studies cyclical patterns in risk indicators based on TARGET2 transaction data. These indicators provide information on network properties, operational aspects and links to ancillary systems. We compare the performance of two different ARIMA dummy models to the TBATS state space...