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During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

Deputy Governor Lawrence Schembri discusses the international evidence of underlying determinants of long-term movements in house prices.

We use bid data from Government of Canada bond auctions between 1999 and 2021 to gauge the yield sensitivity of these bonds to the issuance amount. Our new metric estimates the demand function of the bidders at each auction and offers insights into the relationship between supply and yield of government bonds.

We identify two channels that affect the relationship between inflation and unemployment. First, inflation lowers wages because unemployed suffer more from inflation than employed, generating a positive relationship. Second, inflation increases firms’ financing costs, generating a negative relationship. Improvements in firm financing conditions can induce the relationship to switch signs.

In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk.

We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart.

Salespeople are widely employed in many industries. We leverage a unique data set on retail sales from a leading Chinese cold-drink manufacturer and information on the firm’s salespeople assignment rule to measure the causal effect of salespeople on product revenue.

We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable.

We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.