Egon Zakrajsek

Changes in Bank Lending Standards and the Macroeconomy

Identifying macroeconomic effects of credit shocks is difficult because many of the same factors that influence the supply of loans also affect the demand for credit. Using bank-level responses to the Federal Reserves Loan Officer Opinion Survey, we construct a new credit supply indicator: changes in lending standards, adjusted for the macroeconomic and bank-specific factors that also affect loan demand. Tightening shocks to this credit supply indicator lead to a substantial decline in output and the capacity of businesses and households to borrow from banks, as well as to a widening of credit spreads and an easing of monetary policy.

The Magnitude and Cyclical Behavior of Financial Market Frictions

We quantify the cross-sectional and time-series behavior of the wedge between the cost of external and internal finance by estimating the structural parameters of a canonical debt-contracting model with informational frictions. For this purpose, we construct a new dataset that includes balance sheet information, measures of expected default risk, and credit spreads on publicly traded debt for about 900 U.S. firms over the period 1997Q1 to 2003Q3. Using nonlinear least squares, we obtain precise time-specific estimates of the bankruptcy cost parameter and consistently reject the null hypothesis of frictionless financial markets. For most of the firms in our sample, the estimated premium on external finance was very low during the expansionary period 1997-99, but rose sharply in 2000--especially for firms with higher ratios of debt to equity--and remained elevated until early 2003.

The Importance of Credit for Macroeconomic Activity: Identification through Heterogeneity

Recent work in macroeconomics emphasizes the role of credit in the transmission mechanism for monetary policy and as a propagation mechanism of business cycle shocks.1 Wlule much evidence has been gathered, not all researchers agree on the relevance of credit for the transmission of monetary policy nor for its relevance as a propagation mechanism of business cycle shocks. For the most part, every one agrees on the facts at hand but differs on their interpretation. In short, the argument is over identification. The primary purpose of this paper is to clarify the identification issues involved; to highlight those identification schemes that are promising avenues for measuring the importance of credit in aggregate fluctuations; and to provide a discussion of both previous evidence and new evidence in light of the identification schemes proposed.

Purchasing Power Parity: Three Stakes through the Heart of the Unit Root Null

We provide a comprehensive analysis of the purchasing power parity hypothesis, relying on a linear panel data framework. First, we consider two panel unit root tests, based on transformations of country-specific statistics, which allow for parameter heterogeneity across countries. Using GLS techniques, we modify the two tests to eliminate the upward size distortion induced by cross-sectional dependence among contemporaneous real exchange rate innovations. Second, we consider two tests based on a fixed-effects specification: these tests allow for cross-sectional dependence but impose parameter homogeneity. Three of the four tests provide emphatic support for real exchange rate stationary during the post-Bretton Woods era among relatively open economies. Monte Carlo experiments indicate that the three tests have considerable power against the unit root null. One test allowing parameter heterogeneity provides mixed support for stationarity, but has only limited power against the null.

Factor supplies and specialization in the world economy

A core prediction of the Heckscher-Ohlin theory is that countries specialize in goods in which they have a comparative advantage, and that the source of comparative advantage is differences in relative factor supplies. To examine this theory, we use the most extensive dataset available and document the pattern of industrial specialization and factor endowment differences in a broad sample of rich and developing countries over a lengthy period (1970-92). Next, we develop an empirical model of specialization based on factor endowments, allowing for unmeasurable technological differences and estimate it using panel data techniques. In addition to estimating the effects of factor endowments, we also consider the alternative hypothesis that the level of aggregate productivity by itself can explain specialization. Our results clearly show the importance of factor endowments on specialization: relative endowments do matter.

Misallocation and Financial Market Frictions: Some Direct Evidence from the Dispersion in Borrowing Costs

Financial frictions distort the allocation of resources among productive units--all else equal, firms whose financing choices are affected by such frictions face higher borrowing costs than firms with ready access to capital markets. As a result, input choices may differ systematically across firms in ways that are unrelated to their productive efficiency. We propose an accounting framework that allows us to assess empirically the magnitude of the loss in aggregate resources due to such misallocation. To a second-order approximation, the framework requires only information on the dispersion in borrowing costs across firms, which we measure--for a subset of U.S. manufacturing firms--directly from the interest rate spreads on their outstanding publicly-traded debt. Given the observed dispersion in borrowing costs, our approximation method implies a relatively modest loss in efficiency due to resource misallocation--on the order of 1 to 2 percent of measured total factor productivity (TFP). In our framework, the correlation between firm size and borrowing costs has no bearing on TFP losses under the assumption that financial distortions and firm-level efficiency are jointly log-normally distributed. To take into account the effect of covariation between firm size and borrowing costs, we consider a more general framework, which dispenses with the assumption of log-normality and which implies somewhat higher estimates of the resource losses--about 3.5 percent of measured TFP. Counterfactual experiments indicate that dispersion in borrowing costs must be an order of magnitude higher than that observed in the U.S. financial data, in order for misallocation--arising from financial distortions--to account for a significant fraction of measured TFP differentials across countries.

The Macroeconomic Impact of Financial and Uncertainty Shocks

The extraordinary events surrounding the Great Recession have cast a considerable doubt on the traditional sources of macroeconomic instability. In their place, economists have singled out financial and uncertainty shocks as potentially important drivers of economic fluctuations. Empirically distinguishing between these two types of shocks, however, is difficult because increases in economic uncertainty are strongly associated with a widening of credit spreads, an indication of a tightening in financial conditions. This paper uses the penalty function approach within the SVAR framework to examine the interaction between financial conditions and economic uncertainty and to trace out the impact of these two types of shocks on the economy. The results indicate that (1) financial shocks have a significant adverse effect on economic outcomes and that such shocks were an important source of cyclical fluctuations since the mid-1980s; (2) uncertainty shocks, especially those implied by uncertainty proxies that do not rely on financial asset prices, are also an important source of macroeconomic disturbances; and (3) uncertainty shocks have an especially negative economic impact in situations where they elicit a concomitant tightening of financial conditions. Evidence suggests that the Great Recession was likely an acute manifestation of the toxic interaction between uncertainty and financial shocks.

Interest Rate Risk and Bank Equity Valuations

Because they engage in maturity transformation, a steepening of the yield curve should, all else equal, boost bank profitability. We re-examine this conventional wisdom by estimating the reaction of bank intraday stock returns to exogenous fluctuations in interest rates induced by monetary policy announcements. We construct a new measure of the mismatch between the repricing time or maturity of bank assets and liabilities and analyze how the reaction of stock returns varies with the size of this mismatch and other bank characteristics, including the usage of interest rate derivatives. Our results indicate that bank stock prices decline substantially following an unanticipated increase in the level of interest rates or a steepening of the yield curve. A large maturity gap, however, significantly attenuates the negative reaction of returns to a slope surprise, a result consistent with the role of banks as maturity transformers. Share prices of banks that rely heavily on core deposits decline more in response to policy-induced interest rate surprises, a reaction that primarily reflects ensuing deposit disintermediation. Results using income and balance sheet data highlight the importance of adjustments in quantities--as well as interest margins--for understanding the reaction of bank equity values to interest rate surprises.

Stress-testing US bank holding companies: A dynamic panel quantile regression approach

We propose an econometric framework for estimating capital shortfalls of bank holding companies (BHCs) under pre-specified macroeconomic scenarios. To capture the nonlinear dynamics of bank losses and revenues during periods of financial stress, we use a fixed effects quantile autoregressive (FE-QAR) model with exogenous macroeconomic covariates, an approach that delivers a superior out-of-sample forecasting performance relative to the standard linear framework. According to the out-of-sample forecasts, the realized net charge-offs during the 2007–09 crisis fall within the multi-step-ahead density forecasts implied by the FE-QAR model, but are frequently outside the density forecasts generated using the corresponding linear model. This difference reflects the fact that the linear specification substantially underestimates loan losses, especially for real estate loan portfolios. Employing the macroeconomic stress scenario used in CCAR 2012, we use the density forecasts generated by the FE-QAR model to simulate capital shortfalls for a panel of large BHCs. For almost all institutions in the sample, the FE-QAR model generates capital shortfalls that are considerably higher than those implied by its linear counterpart, which suggests that our approach has the potential to detect emerging vulnerabilities in the financial system.

Credit-Market Sentiment and the Business Cycle

Using U.S. data from 1929 to 2015, we show that elevated credit-market sentiment in year t − 2 is associated with a decline in economic activity in years t and t + 1. Underlying this result is the existence of predictable mean reversion in credit-market conditions. When credit risk is aggressively priced, spreads subsequently widen. The timing of this widening is, in turn, closely tied to the onset of a contraction in economic activity. Exploring the mechanism, we find that buoyant credit-market sentiment in year t − 2 also forecasts a change in the composition of external finance: net debt issuance falls in year t, while net equity issuance increases, consistent with the reversal in credit-market conditions leading to an inward shift in credit supply. Unlike much of the current literature on the role of financial frictions in macroeconomics, this article suggests that investor sentiment in credit markets can be an important driver of economic fluctuations.