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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 document a new empirical finding in the foreign exchange market: currency returns show systematic reversals around the benchmark fixings. Specifically, the US dollar, on average, appreciates in the hours before fixes and depreciates after fixes.

Consumption inequality and a low interest rate environment are two important trends in today’s economy. But the implications they may have—and how those implications interact—within different monetary policy frameworks are not well understood. We study the ranking of alternative frameworks that take these trends into account.

This paper looks at the role mortgage brokers play in helping borrowers generate quotes and qualify for credit. We find that, on average, borrowers that engage with a mortgage broker pay lower interest rates. However, in about 15% of cases, borrowers are steered towards longer amortizing mortgages than they would have chosen absent a broker. Since mortgages with longer amortization have higher total interest costs over the entire life of the mortgage, this steering is expensive.

Many central banks are contemplating whether to issue central bank digital currency. This piece explores the implications as well as potential motivators of such a step.

We study the transmission and third-country effects of international sanctions. A sanctioned country’s losses are mitigated, and the sanctioning country’s losses amplified, if a third country does not join the sanctions, but the third country benefits from not joining.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

The scale of safe assets suggests a structural demand for a safe wealth share beyond transaction and liquidity roles. We study how investors achieve a reference wealth level by combining self-insurance and contingent liquidation of investment. Intermediaries improve upon autarky, insuring investors with poor self-insurance and limiting liquidation.

This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.

Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans.