Banks in the euro area can generate high-quality liquid assets (HQLA) by borrowing central bank reserves from the Eurosystem against non-HQLA collateral. This paper quantifies the extent of this liquidity transformation and finds that on average EUR 0.92 of net HQLA are generated for each euro of credit provided by the Eurosystem.
The pricing decisions of firms are a key determinant of inflation. To understand inflation dynamics, it is necessary to analyse how often and by how much individual prices change. This article discusses what micro price data gathered by the European System of Central Banks’ Price-setting Microdata Analysis Network (PRISMA) tell us about the way firms set their prices. The results point to state dependence in pricing, whereby firms change prices more frequently following large shocks. This also affects the transmission of monetary policy.
This paper investigates the sensitivity of the demand for safe government debt to currency unhedged and hedged excess returns in a sample of US mutual funds. We find evidence of active rebalancing towards government bonds that offer relatively higher returns on an unhedged basis, in particular euro denominated securities. The size of the effect is large, leading to a change in portfolio share by around one percentage point on average in response to a change by one percentage point in the currency-specific excess return.
We analyze, for the first time, how firms choose the currency in which they price transactions in international trade of services and investigate, using direct evidence, whether the US dollar (USD) plays a dominant role in services trade. Drawing on a new granular dataset on extra-European Union exports of Portuguese firms broken down by currency, we show that currency choices in services trade are active firm-level decisions. Firms that are larger and rely more on inputs priced in foreign currencies are less likely to use the domestic currency to export services.
This paper investigates the sensitivity of the demand for safe government debt to currency unhedged and hedged excess returns in a sample of US mutual funds. We find evidence of active rebalancing towards government bonds that offer relatively higher returns on an unhedged basis, in particular euro denominated securities. The size of the effect is large, leading to a change in portfolio share by around one percentage point on average in response to a change by one percentage point in the currency-specific excess return.
We analyze, for the first time, how firms choose the currency in which they price transactions in international trade of services and investigate, using direct evidence, whether the US dollar (USD) plays a dominant role in services trade. Drawing on a new granular dataset on extra-European Union exports of Portuguese firms broken down by currency, we show that currency choices in services trade are active firm-level decisions. Firms that are larger and rely more on inputs priced in foreign currencies are less likely to use the domestic currency to export services.
This article shows that trust in the ECB needs to be analysed and understood as a multifaceted concept. Analysis of data from the Consumer Expectations Survey shows that trust is not a matter of “yes” or “no”
We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At the individual product level, we construct a large set of weekly scanner-based price indices that closely match their official counterparts, such as butter and coffee beans.
We evaluate the effects of contagion and common exposure on banks’ capital through a regression design inspired by the structural VAR literature and derived from the balance sheet identity. Contagion can occur through direct exposures, fire sales, and market-based sentiment, while common exposures result from portfolio overlaps. We estimate the structural regression on granular balance sheet and interbank exposure data of the Canadian banking market.
We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At the individual product level, we construct a large set of weekly scanner-based price indices that closely match their official counterparts, such as butter and coffee beans.
