Central banks

Statistical Notices update the definitions and guidance contained in the Banking Statistics Yellow Folder

I study how demand-supply narrative disagreement between general and specialized newspapers can explain households’ absolute gap in inflation expectations with experts. I measure inflation narratives via a Causality Extraction algorithm that can identify causal relationships between events in a text and, hence, extract the perceived triggers of inflation. Causal relations can explain why narratives affect people’s beliefs and cannot be captured by dictionary methods, topic models, and word embeddings.

This paper provides novel empirical evidence on portfolio rebalancing in international bond markets through the prism of investors’ demand for bonds. Using a granular dataset of global government and corporate bond holdings by mutual funds domiciled in the world’s two largest currency areas, I estimate heterogeneous and time varying demand elasticities for bonds. Safe assets such as US Treasuries or German Bunds face especially inelastic demand from investment funds compared to riskier bonds. But spillovers from these safe assets to global bond markets are strikingly different.

We empirically examine the role of both official monetary policy announcements and policymakers’ speeches in the transmission of monetary policy to financial markets and the real economy in the euro area. Using intraday data covering a broad cross-section of financial assets, we construct the Euro Area Extended Monetary Policy Event-Study Database (EA-EMPD). We refine the identification of monetary policy surprises by exploiting granular, quote-level data on individual participants’ bid and ask submissions.