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The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of counterparties. Traditionally, foreign exchange reserve managers and other investors have relied on credit rating agencies (CRAs) as the main source for credit assessments.

Constrained efficient allocation (CE) is characterized in a model of adverse selection and directed search (Guerrieri, Shimer, and Wright (2010)). CE is defined to be the allocation that maximizes welfare, the ex-ante utility of all agents, subject to the frictions of the environment.

Following the financial crisis, there has been increased regulatory focus on the management of liquidity in mutual funds and, specifically, whether funds hold enough liquidity to guard against the potential for investor runs.

The spread between the yield of a corporate bond and the yield of a similar Government of Canada bond reflects compensation for possible default by the issuing firm and compensation for additional risks beyond default.

Previously reported effects of institutional quality and political risks on foreign direct investment (FDI) are mixed and, therefore, difficult to interpret. We present empirical evidence suggesting a relatively clear, statistically robust, and intuitive characterization.

We model how securities dealers respond to regulations on leverage, position and liquidity such as those imposed by the Basel III framework. We show that while asset prices exhibit greater price impact, bid-ask spreads do not change and trading volumes may even increase.

We study constrained-efficient bank capital regulation in a model with market-imposed equity requirements. Banks hold equity buffers to insure against sudden loss of access to funding. However, in the model, banks choose to only partially self-insure because equity is privately costly.

Terms-of-trade shocks are known to be key drivers of business cycles in open economies. This paper argues that terms-of-trade shocks were also important for house price fluctuations in a panel of developed countries over the 1994–2015 period.

The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic.

The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.