Financial institutions

We model how a central bank communicates its noisy forecasts (forward guidance) while taking into account its own uncertainty (confidence) and the public’s perception of the bank’s uncertainty (reputation for confidence). This creates a mismatch between the public and central bank’s interpretation of the bank announcement which induces the bank to communicate with partial transparency and deliberate imprecision. Moreover, with higher confidence (lower reputation) announcements are more precise.

We model how a central bank communicates its noisy forecasts (forward guidance) while taking into account its own uncertainty (confidence) and the public’s perception of the bank’s uncertainty (reputation for confidence). This creates a mismatch between the public and central bank’s interpretation of the bank announcement which induces the bank to communicate with partial transparency and deliberate imprecision. Moreover, with higher confidence (lower reputation) announcements are more precise.

How do banks manage the behavioural maturity of non-maturing deposits (NMDs)? Using a rich and confidential dataset, we investigate how banks model deposit maturities based on internal assumptions. Although NMDs are contractually floating-rate liabilities with zero maturity, banks reallocate them across different maturity buckets using models that reflect past customer behaviour. Notably, only 20% of NMDs are treated as having zero maturity, while about 10% are assigned maturities beyond seven years. We assess whether these modelling assumptions align with banks’ deposit structures.

Elizabeth Llanes, Jeffrey Thompson, and Alice Henriques VolzThe question of whether affluent households save at a higher rate than other parts of the distribution has been asked by economists on numerous occasions since the 1950s. It is standard in this research to define affluent, or “rich,” households as those with high lifetime earnings or income to better ground the empirical question in relevant theory.