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Time is a significant cost of conducting transactions, and theoretical models predict that transactions costs significantly affect the type of media of exchange buyers use. However, there is little empirical work documenting the magnitude of this effect. This paper uses grocery store scanner data to examine how time affects consumer choices of checks and debit cards. On average, check transactions take thirty percent longer than debit card transactions. This time difference is a significant factor in the choice to use a debit card over a check and offers empirical evidence for transactions costs affecting the use of media of exchange.

The Main Street Lending Program (Main Street) was one of several new credit facilities launched by the Federal Reserve and the U.S. Department of the Treasury (Treasury) in response to the COVID-19 pandemic. The Federal Reserve published draft terms for Main Street on April 9, 2020, and the program started purchasing loan participations on July 6, 2020, with the goal of supporting lending to a wide range of small and medium-sized businesses that were in sound financial condition before the onset of the COVID-19 pandemic. When the program’s draft terms were first circulated, pandemic-related closures were taking hold throughout the economy, firms were sharply drawing down their existing credit lines, and credit market conditions were extremely tight. Against this backdrop, Main Street was intended to support the flow of credit to small and, especially, medium-sized firms and nonprofit organizations, as such entities were often too large to benefit from the Paycheck Protection Program (PPP) and too small to benefit directly from Federal Reserve facilities supporting the corporate bond and commercial paper markets.

This paper studies the patterns of internal liquidity management and their effect on bank lending, using a novel branch-level dataset of Brazilian banks. Our results suggest that internal liquidity management increases during times of financial stress. Privately owned banks are most affected by a liquidity shock, and increase the level of internal funding to maintain their branch lending, while their government-owned competitors react strategically. Private and government banks increase the funding of branches in concentrated and riskier areas. This funding translates into more lending, as the sensitivity of lending to internal funding remains high after the liquidity shock. Altogether, this paper provides branch-level evidence of the way that banks ration internal liquidity, both in normal times and in times of stress, and the effect this has on bank lending.

This paper proposes a "double adverse selection channel" of international transmission. It shows, theoretically and empirically, that financial systems with both global and local banks exhibit double adverse selection in credit allocation across firms. Global (local) banks have a comparative advantage in extracting information on global (local) risk, and this double information asymmetry creates a segmented credit market where each bank lends to the worst firms in terms of the unobserved risk factor. Given a bank funding (e.g., monetary policy) shock, double adverse selection affects firm financing at the extensive and price margins, generating spillover and amplification effects across countries.

In 2010, in response to an ever-worsening fiscal crisis, the ECB began purchasing sovereign debt from troubled euro-area countries through its Securities Market Programme (SMP). This program was designed to improve market functioning and restore the monetary transmission mechanism within the euro area. This paper does not test those ideals. Rather, we test whether SMP purchases systematically lowered peripheral yields and spreads. We find limited evidence of purchase effects but large announcement effects. In addition, on days in which the ECB was believed to have made large purchases, yields moved down, independent of the size of the ECB’s purchases or even if the ECB conducted any purchase at all that week. In all, we conclude that the ECB’s SMP influenced yields through a confidence channel rather than through any direct purchase effect. In the appendix to this paper we provide a detailed timeline of SMP purchases and market beliefs about purchase timing.

Using firm-level data, this paper shows that the Portuguese financial crisis was a period of intensified productivity-enhancing reallocation. Aggregate productivity gains, both in manufacturing and services, came from relatively higher contributions of entering and exiting firms and from reallocation of resources between surviving firms. At the microlevel, the crisis reduced the probability of survival for high- and low-productivity firms, but it hit low-productivity firms disproportionately harder. We also found important heterogeneous effects across economic sectors regarding input reallocation that underline the importance of using data for the entire economy whenever similar studies are conducted.

This paper documents that an appreciation of the U.S. dollar is associated with a reduction in the supply of commercial and industrial loans by U.S. banks. An increase in the broad dollar index by 2.5 points (one standard deviation) reduces U.S. banks' corporate loan originations by 10 percent. This decline is driven by a reduction in the demand for loans on the secondary market where prices fall and liquidity worsens when the dollar appreciates, with stronger effects for riskier loans. Today, the main buyers of U.S. corporate loans---and, hence, suppliers of funding for these loans---are institutional investors, in particular mutual funds, which experience outflows when the dollar appreciates. A shift of traditional financial intermediation to these relatively unregulated entities, which are more sensitive to global developments, has led to the emergence of this new channel through which the dollar affects the U.S. economy, which we term the secondary market channel.

This paper studies the dynamics of credit supply when a negative shock impacts a substantial share of bank loans. The analysis exploits the 2014 collapse of energy prices, using the universe of Mexican commercial bank loans. The findings show that, after the drop in energy prices, the credit default swap spreads (CDS) of firms in the energy sector soared, and banks that were more exposed to the energy sector increased even more their exposure ex post, by supplying loans to their larger debtors in the energy sector at lower interest rates. An increase of one standard deviation in ex-ante exposure to the energy sector increased loan volume to borrowers in the sector by 18 percent and reduced loan rates charged by 6 percent, even though borrower’s CDS spreads were widening. Highly exposed banks amplified this sector-specific shock to the rest of the economy by contracting lending to other sectors, with important real effects, as the borrowers could not switch credit suppliers. Finally, the energy price shock had a large negative impact on macro outcomes, especially in the capital-intensive secondary sector. Quantitatively, a one standard deviation increase in the exposure of a state's banks to the energy sector reduces its GDP by 1.8 percent.

Global financial institutions play an important role in channeling funds across countries and, therefore, transmitting monetary policy from one country to another. In this paper, we study whether such international transmission depends on financial institutions' business models. In particular, we use Dutch, Spanish, and U.S. confidential supervisory data to test whether the transmission operates differently through banks, insurance companies, and pension funds. We find marked heterogeneity in the transmission of monetary policy across the three types of institutions, across the three banking systems, and across banks within each banking system. While insurance companies and pension funds do not transmit home-country monetary policy internationally, banks do, with the direction and strength of the transmission determined by their business models and balance sheet characteristics. Published by Elsevier Ltd.

The abruptness and virulence of the 1997 Asian crises have led many to claim that these crises are of a new breed and thus they were unforecastable. This paper examines 102 financial crises in 20 countries and concludes that the Asian crises are not of a new variety. Overall, the 1997 Asian crises, as well as previous crises in other regions, occur when the economies are in distress, making the degree of fragility of the economy a useful indicator of future crises. Based on this idea, the paper proposes different composite leading indicators of crises, which are evaluated in terms of accuracy both in-sample and out-of-sample.

This paper was prepared for the meeting of the Panel on International Capital Transactions of the National Research Council (National Academy of Sciences), April 23, 1992. There are well-documented inadequacies in the data on U.S. international capital flows, cross-border holdings of assets, and investment income. In order to set priorities for data improvements, it is necessary to evaluate our needs for information, survey possible additions and alternatives to the current data collection system, and weigh the costs and benefits of proposed improvements.This paper focuses on only one facet of these issues, the needs of the Federal Reserve for more accurate and complete data on U.S. international financial transactions. The Federal Reserve uses such data in three basic areas: first, in formulating monetary policy, second, in meeting its supervisory responsibilities, and third, in analyzing the implications of economic and financial developments for the U.S. economy and financial system. The paper concludes with a set of recommendations for improving the quality, coverage, and usefulness of the data on U.S. international financial transactions.

This paper examines the effects of the liberalization of the Japanese financial system in the past twenty years. The changes are viewed in terms of their current and potential future impact on the Japanese banking industry. The purpose of this paper is to provide a discussion of the situation facing the banking system during the present transition period between the highly segmented and regulated financial system of the post-war high growth period, and the liberalized, financially deregulated environment toward which the Japanese regulatory authorities aspire.

This paper examines whether banks strategically incorporate their competitors’ liquidity mismatch policies when determining their own and the impact of these collective decisions on financial stability. Using a novel identification strategy exploiting the presence of partially overlapping peer groups, I show that banks’ liquidity transformation activity is driven by that of their peers. These correlated decisions are concentrated on the asset side of riskier banks and are asymmetric, with mimicking occurring only when competitors take more risk. Accordingly, this strategic behavior increases banks’ default risk and overall systemic risk, highlighting the importance of regulating liquidity risk from a macroprudential perspective. ReceivedMay 4, 2016; editorial decision January 1, 2019 by Editor Philip Strahan. Author has furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

This paper shows that dollar appreciations lead to declines in GDP, investment, and credit to the private sector in emerging market economies (EMEs). These results imply that the transmission of dollar movements to EMEs occurs mainly through financial conditions rather than net exports, contrary to what would be expected from the conventional Mundell-Fleming model. Moreover, the central role of the U.S. dollar in global trade invoicing and financing - the dominant currency paradigm - and the increased integration of EMEs into international supply chains weaken the traditional trade channel. Finally, as expected if financial vulnerabilities are prominent, EMEs with higher exposure to credit denominated in dollars and lower monetary policy credibility experience greater contractions during dollar appreciations.

Individual banks differ substantially in their foreign operations. This paper introduces heterogeneous banks into a general equilibrium framework of banking across borders to explain the documented variation. While the model matches existing micro and macro evidence, novel and unexplored predictions of the theory are also strongly supported by the data: The efficiency of the least efficient bank active in a host country increases the greater the impediments to banking across borders and the efficiency of the banking sector in the host country. There is also evidence of a tradeoff between proximity and fixed costs in banking. Banks hold more assets and liabilities in foreign affiliates relative to cross-border positions if the target country is further away and the cost of foreign direct investment is low. These results suggest that fixed costs play a crucial role in the foreign activities of banks.

This paper tests for predictability of output growth in a panel of twenty-two emerging market economies. We use pooled panel data methods that control for endogeneity and persistence in the predictor variables to test the predictive power of a large set of financial aggregates including valuation measures, interest rates, and capital flows. Empirical evidence suggests that stock returns, portfolio investment flows, the term spread and default spreads help predict output growth in emerging markets. In particular, large capital inflows predict subsequent high GDP growth as do high term spreads. Conversely, higher default spreads on emerging market government debt signals lower future GDP growth. We also find evidence that the performance of aggregates such as global commodity markets, a cross-sectional firm size factor, and returns on the market portfolio contain information about the future state of the economy. We benchmark our results against the US and find that there are differences in information flows and the role of capital markets in predicting economic growth. Our analysis extends previous findings in the macro- finance literature on the links between the real economy and financial market performance.

In this paper we provide an alternative explanation for the price puzzle (Sims 1992) based on the effect of monetary policy on housing tenure choice and the weight of the shelter component in overall CPI. In the presence of nominal or financial frictions, when interest rates increase, the real cost of owning a house increases, and this increase may make some people prefer to rent instead of buying. This change in consumption behavior increases the price of rents relative to other goods. Starting in 1983, homeownership costs are based on a measure of implied owner equivalent rent, which is calculated using observed house rents. This change implies that, directly and indirectly, prices in the rental market almost entirely command the shelter component of CPI, which weighs around 30% in the overall index. When we take these two pieces into account and use CPI net of shelter services as a measure of inflation, we obtain impulse responses of prices to a monetary contraction shock more in line with what is predicted by theory. In addition, our results also suggest that inflation is much less persistent than what is implied by analyses using a measure of inflation that includes shelter services. Our results pass a long list of robustness check exercises and compare well against other explanations of the price puzzle.

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-1980; (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.

This paper studies how private information in hedging outcomes affects the design of managerial compensation when hedging instruments serve as a double-edged sword in that they may be used for both corporate hedging and earnings management. On the one hand, financial vehicles can offer customized contracts that are closely tailored to manage specific risk and improve hedging efficiency. On the other hand, involvement in hedging may give rise to manipulation through misstatement of the value estimates. We show that the use of privately-observed hedging may actually require greater pay-for-performance in managerial compensation. The cross-sectional variations in managerial compensation lend support to our model.

There are lingering concerns about the health of European banks and extensive market commentary about whether post-crisis regulatory reforms in Europe have adequately addressed these concerns. In June 2012, European policymakers released the broad outlines of a proposal for a "European banking union" to strengthen the banking sector and help assuage concerns of investors and depositors, however, uncertainty remains regarding how the new EU bank resolution regime, the Bank Recovery and Resolution Directive (BRRD), will work in practice. This paper addresses whether the BRRD has fulfilled the requirements of the FSB Key Attributes for Resolution Regimes, which many take to be the gold standard bank resolution framework. We find that the BRRD diverges from the FSB Key Attributes or allows variation at the Member State level in multiple areas. The majority of these variations point to slight inconsistencies with the FSB recommendations. That said, some variations may have a larger impact than others.

Exploiting a unique identification strategy based on inaccurate news analytics, we document an effect of news analytics on the market independent of the informational content of the news. We show that news analytics speed up the stock price and trading volume response to articles, but reduce liquidity. Inaccurate news analytics lead to small price distortions that are corrected quickly. The market impact of news analytics is greatest for press releases, as news analytics exhibit a particular skill in “seeing through” the positive spin of press releases. Furthermore, we provide evidence that high-frequency traders rely on the information from news analytics for directional trading on company-specific news.Received: May 17, 2018; Editorial decision: June 14, 2019 by Editor: Thierry Foucault. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

The availability of international trade transactions data capturing individual relationships between buyers and suppliers permits the answering of numerous new questions governing the economic activity of traders. In this paper, we explore the reliability of two-sided firm trade transactions data sourced from the United States by comparing the number of foreign suppliers from U.S. merchandise import transaction data to origin-country data. We find that the statistic derived from the origin-country data, on average, tends to be 20 percent lower than using the raw U.S. data. Guided by this finding, we propose and implement a set of methods that are capable of aligning the counts more closely from these two different data sources. Overall, our analysis presents broad support for the use of U.S. merchandise import transactions data to study buyer-supplier relationships in international trade.

This paper is a companion to our recent paper, "ICT Prices and ICT Services: What do they tell us about Productivity and Technology?" It provides the sources and methods used to construct national accounts-style price deflators for the major components of ICT investment--communications equipment, computer equipment, and software--that were presented and analyzed in that paper. The ICT equipment measures described herein were also used in Byrne, Fernald, and Reinsdorf (2016). This paper is a companion to our recent paper, "ICT Services and their Prices: What do they tell us about Productivity and Technology?" It provides the sources and methods used to construct national accounts-style price deflators for the major components of ICT investment--communications equipment, computer equipment, and software--that were analyzed and used in that paper. The ICT equipment measures described herein were also used in Byrne, Fernald, and Reinsdorf (2016).

This paper reassesses the link between ICT prices, technology, and productivity. To understand how the ICT sector could come to the rescue of a whole economy, we extend a multi-sector model due to Oulton (2012) to include ICT services (e.g., cloud services) and use it to calibrate the steady-state contribution of the ICT sector to growth in aggregate U.S. labor productivity. Because ICT technologies diffuse through the economy increasingly via purchases of cloud and data analytic services that are not fully accounted for in the standard narrative on ICT's contribution to economic growth, the contribution of ICT to growth in output per hour going forward is found to be substantially larger than generally thought--1.4 percentage points per year. One reason why the estimated contribution is so large is that official ICT asset prices are found to substantially understate the productivity of the sector. The model developed in this paper also has implications for the relationship between prices for ICT services and prices for the capital stocks (i.e., ICT assets) used to supply them. In particular, ICT service prices may diverge from asset prices and capture productivity gains from ICT asset management by the sector.

This paper answers two questions that help those analyzing FinTech understand its origins, growth, and potential to affect financial stability. First, it answers the question of why "FinTech" is happening right now. Many of the technologies that support FinTech innovations are not new, but financial institutions and entrepreneurs are only now applying them to financial products and services. Analysis of the supply and demand factors that drive "traditional" financial innovation reveals a confluence of factors driving a large quantity of innovation. Second, this paper answers the question of why FinTech is getting so much more attention than traditional innovation normally does. The answer to this question has to do with the 'depth' of innovation, a concept introduced in this paper. The deeper an innovation, the greater the ability of that innovation to transform financial services. The paper shows that many FinTech innovations are deep innovations and hence have a greater potential to change financial services. A greater potential to transform can also lead to a greater chance of affecting financial stability.

Fast-growing countries tend to experience rapid export growth with little secular change in their terms of trade. This contradicts the standard Armington trade model, which predicts that fast-growing countries can experience rapid export growth only to the extent that they accept declining terms of trade. This paper generalizes the monopolistic competition trade model of Helpman and Krugman (1985), providing a basis for growth-led exports without declining terms of trade. The key mechanism behind this result is that fast-growing countries are able to develop new varieties of products that can be exported without pushing down the prices of existing products. There is strong support for the new model in long-run export growth of many countries in the post-war era.

This paper examines the response of U.S. manufacturers to changes in competitiveness brought about by movements in the price of natural gas. I estimate the response of various measures of manufacturing activity using panel regression methods across roughly 80 industries that allow each industry's response to vary with its energy intensity. These estimates suggest that the fall in the price of natural gas since 2006 is associated with a 2 to 3 percent increase in activity for the entire manufacturing sector, with much larger effects of 30 percent or more for the most energy intensive industries

The Federal Reserve through the Federal Open Market Committee (FOMC) regularly releases macroeconomic forecasts to the general public and the US congress with the purpose of explaining the likely evolution of the economy and the appropriate stance of monetary policy. Immediately before doing so, the FOMC receives a forecast produced by the Federal Reserve staff which remains private for five years. The literature has pointed out that, despite the informational advantage of the FOMC, its forecast differs from and is not always more accurate than the staff forecast. This finding has raised concerns regarding the loss of relevant information and the usefulness of the FOMC forecasts. This paper brings evidence that the FOMC forecast also incorporates other publicly available forecasts and views, and that the weight attributed to public forecasts is larger than what is optimal given a mean squared error objective. These findings are consistent with i) the institutional role of the FOMC in being representative of a variety of public views, ii) the academic literature recommendation to use equal weights and not to overfit specific forecasts based on past performance. The statistical model can also account for several empirical regularities of the forecasts.

This paper studies firms’ usage of interest rate swaps in a model economy driven by aggregate productivity shocks, inflation shocks, and counter-cyclical idiosyncratic productivity risk. Consistent with empirical evidence, firms in the model are fixed-rate payers. Counter-cyclical productivity risk is key for this finding; inflation risk contributes to producing the opposite outcome. Also consistent with empirical evidence, swap positions are negatively correlated with the term spread, so that firms appear to be timing the market. In the model, swaps generate only small economic gains for the typical firm. This article is part of a Special Issue entitled “Fiscal and Monetary Policies”.