Institution
Federal Reserve System
Other•Washington D.C., District of Columbia, United States•
About: Federal Reserve System is a other organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 2373 authors who have published 10301 publications receiving 511979 citations.
Topics: Monetary policy, Inflation, Interest rate, Market liquidity, Debt
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors use property damage as an instrument for lending growth and find credit in unaffected but connected markets declines by a little less than 50 cents per dollar of additional lending in shocked areas.
128 citations
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TL;DR: In this paper, the authors investigate whether securitization was associated with risky lending in the corporate loan market by examining the performance of individual loans held by collateralized loan obligations and find that adverse selection problems in corporate loan securitizations are less severe than commonly believed.
128 citations
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TL;DR: In this paper, the authors investigate the effects of technological change, deregulation, and dynamic changes in competition on the performance of U.S. banks and find that during 1991-1997, cost productivity worsened while profit productivity improved substantially.
Abstract: The authors investigate the effects of technological change, deregulation, and dynamic changes in competition on the performance of U.S. banks. The authors' most striking result is that during 1991-1997, cost productivity worsened while profit productivity improved substantially, particularly for banks engaging in mergers. The data are consistent with the hypothesis that banks tried to maximize profits by raising revenues as well as reducing costs. Banks appeared to provide additional or higher quality services that raised costs but also raised revenues by more than the cost increases. The results suggest that methods that exclude revenues when assessing performance may be misleading.
128 citations
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TL;DR: In this article, the roles of parameter constancy and mean square forecast error in analyzing a model's forecast performance are discussed. But neither of these criteria is sufficient for good forecast performance.
128 citations
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TL;DR: This article used micro data to quantify key features of US financial markets and constructed a dynamic equilibrium model that is consistent with these features and fit the model to business cycle data using Bayesian methods.
Abstract: How important are financial friction shocks in business cycles fluctuations? To answer this question, I use micro data to quantify key features of US financial markets. I then construct a dynamic equilibrium model that is consistent with these features and fit the model to business cycle data using Bayesian methods. In my micro data analysis, I establish facts that may be of independent interest. For example, I find that a substantial 33% of firm investment is funded using financial markets. The dynamic model introduces price and wage rigidities and a financial intermediation shock into Kiyotaki and Moore (2008). According to the estimated model, the financial intermediation shock explains around 40% of GDP and 55% of investment volatility. The estimation assigns such a large role to the financial shock for two reasons: (i) the shock is closely related to the interest rate spread, and this spread is strongly countercyclical and (ii) according to the model, the response in consumption, investment, employment and asset prices to a financial shock resembles the behavior of these variables over the business cycle.
128 citations
Authors
Showing all 2412 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ross Levine | 122 | 398 | 108067 |
Francis X. Diebold | 110 | 368 | 74723 |
Kenneth Rogoff | 107 | 390 | 75971 |
Allen N. Berger | 106 | 382 | 65596 |
Frederic S. Mishkin | 100 | 372 | 34898 |
Thomas J. Sargent | 96 | 370 | 39224 |
Ben S. Bernanke | 96 | 446 | 76378 |
Stijn Claessens | 96 | 462 | 42743 |
Andrew K. Rose | 88 | 374 | 42605 |
Martin Eichenbaum | 87 | 234 | 37611 |
Lawrence J. Christiano | 85 | 253 | 37734 |
Jie Yang | 78 | 532 | 20004 |
James P. Smith | 78 | 372 | 23013 |
Glenn D. Rudebusch | 73 | 226 | 22035 |
Edward C. Prescott | 72 | 235 | 55508 |