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We use historical data and a calibrated model of the world economy to study how a synchronous monetary tightening can amplify cross-border transmission of monetary policy. The empirical analysis shows that historical episodes of synchronous tightening are associated with tighter financial conditions and larger effects on economic activity than asynchronous ones. In the model, a sufficiently large synchronous tightening can disrupt intermediation of credit by global financial intermediaries causing large output losses and an increase in sacrifice ratios, that is, output lost for a given reduction in inflation. We use this framework to show that there are gains from coordination of international monetary policy.

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Fiscal devaluations—an increase in import tariffs and export subsidies (IX) or an increase in value-added taxes and payroll subsidies (VP)—have been shown to provide as much stimulus under fixed exchange rates as a currency devaluation. We find that if agents expect policies to be reversed and the tax pass-through is large, VP is contractionary and IX provides a modest boost. In our medium-scale DSGE model, both features are crucial in accounting for Germany's underperformance in response to VP in 2007. These findings cast doubt on fiscal devaluations as a cyclical stabilization tool when monetary policy is constrained. 

Abstract

We develop a model of banking panics which is consistent with two important features of the data: First, banking crises are usually preceded by credit booms. Second, credit booms often do not result in crises. That is, there are “bad booms” as well as “good booms” in the language of Gorton and Ordonez (2019). We then consider how the optimal macroprudential policy weighs the benefits of preventing a crisis against the costs of stopping a good boom. We show that countercyclical capital buffers are a critical feature of a successful macroprudential policy. 

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We study the welfare effects of macroprudential policy in a macroeconomic model of banking instability. Banking panics are endogenous economic disasters caused by banks' excessive leverage during credit booms. The model matches the frequency and severity of banking panics and the statistical relationship between panics and credit booms. A simple countercyclical macroprudential rule can achieve non-negligible welfare gains. These gains rise substantially when the run probability increases during a credit boom and, ex post, if a run is actually avoided. In a model without panics in which financial crises are driven by fundamentals only, the gains are much more limited. 

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This paper studies the effects of unexpected changes in trade policy uncertainty (TPU) on the U.S. economy. Three measures of TPU are constructed using newspaper coverage, firms’ earnings calls, and tariff rates. Firm-level and aggregate macroeconomic data reveal that increases in TPU reduce business investment. The empirical results are interpreted through the lens of a two-country general equilibrium model with nominal rigidities and firms’ export participation decisions. News and increased uncertainty about higher future tariffs reduce investment and activity. 

Abstract

This article incorporates banks and banking panics within a conventional macroeconomic framework to analyse the dynamics of a financial crisis of the kind recently experienced. We are particularly interested in characterizing the sudden and discrete nature of banking panics as well as the circumstances that make an economy vulnerable to such panics in some instances but not in others. Having a conventional macroeconomic model allows us to study the channels by which the crisis affects real activity both qualitatively and quantitatively. In addition to modelling the financial collapse, we also introduce a belief driven credit boom that increases the susceptibility of the economy to a disruptive banking panic. 

Abstract

There has been considerable progress in developing macroeconomic models of banking crises. However, most of this literature focuses on the retail sector where banks obtain deposits from households. In fact, the recent financial crisis that triggered the Great Recession featured a disruption of wholesale funding markets, where banks lend to one another. Accordingly, to understand the financial crisis as well as to draw policy implications, it is essential to capture the role of wholesale banking. The objective of this chapter is to characterize a model that can be seen as a natural extension of the existing literature, but in which the analysis is focused on wholesale funding markets. The model accounts for both the buildup and collapse of wholesale banking and also sketches out the transmission of the crises to the real sector. We also draw out the implications of possible instability in the wholesale banking sector for lender-of-last resort policy as well as for macroprudential policy. 

Abstract

We develop a macroeconomic model with banking instability. Sunspot runs can arise that are harmful to the economy. However, whether a run equilibrium exists depends on fundamentals. In contrast to earlier work, the probability of a sunspot run is the outcome of rational forecast based on fundamentals. The model captures the movement from slow to fast runs that was a feature of the Great Recession: A weakening of banks' balance sheets increases the probability of a run, leading depositors to withdraw funds from banks. These slow runs have harmful effects on the economy and set the stage for fast runs. 

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We analyze forward-induction reasoning in games with asymmetric information assuming some commonly understood restrictions on beliefs. Specifically, we assume that some given restrictions Δ on players’ initial or conditional first-order beliefs are transparent, that is, not only do the restrictions Δ hold but there is also common belief in Δ at every node. Most applied models of asymmetric information are covered as special cases whereby Δ pins down the probabilities initially assigned to states of nature. But the abstract analysis also allows for transparent restrictions on beliefs about behavior, e.g. independence restrictions or restrictions induced by the context behind the game. Our contribution is twofold. First, we use dynamic interactive epistemology to formalize assumptions that capture foward-induction reasoning given the transparency of Δ, and show that the behavioral implications of these assumptions are characterized by the Δ-rationalizability solution procedure of Battigalli (1999, 2003). Second, we study the differences and similarities between this solution concept and a simpler solution procedure put forward by Battigalli and Siniscalchi (2003). We show that the two procedures are equivalent if Δ is “closed under compositions” a property that holds in all the applications considered by Battigalli and Siniscalchi (2003). We also show that when Δ is not closed under compositions, the simpler solution procedure of Battigalli and Siniscalchi (2003) may fail to characterize the behavioral implications of forward-induction reasoning. 

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