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 article, the authors test hypotheses about the effects of bank size, foreign ownership, and distress on lending to informationally opaque small firms, using a rich new data set on Argentinean banks, firms, and loans.
Abstract: Consolidation of the banking industry is shifting assets into larger institutions that often operate in many nations. Large international financial institutions are geared toward serving large wholesale customers. How does this affect the banking system's ability to lend to informationally opaque small businesses? The authors test hypotheses about the effects of bank size, foreign ownership, and distress on lending to informationally opaque small firms, using a rich new data set on Argentinean banks, firms, and loans. They also test hypotheses about borrowing from a single bank versus borrowing from several banks. Their results suggest that large and foreign-owned institutions may have difficulty extending relationship loans to opaque small firms, especially if small businesses are delinquent in repaying their loans. Bank distress resulting from lax prudential supervision and regulation appears to have no greater effect on small borrowers than on large borrowers, although even small firms may react to bank distress by borrowing from multiple banks, despite raising borrowing costs and destroying some of the benefits of exclusive lending relationships.
793 citations
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Abstract: This paper assesses potential diversification benefits in the U.S. banking industry from the steady shift toward activities that generate fee income, trading revenue, and other types of noninterest income. In the aggregate, declining volatility of net operating revenue reflects reduced volatility of net interest income, not diversification benefits from noninterest income, which is quite volatile and increasingly correlated with net interest income. At the bank level, greater reliance on noninterest income, particularly trading revenue, is associated with lower risk-adjusted profits and higher risk. This suggests few obvious diversification benefits from the ongoing shift toward noninterest income.
785 citations
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TL;DR: In this paper, the authors examine tests for jumps based on recent asymptotic results; they interpret the tests as Hausman-type tests and find that microstructure noise biases the tests against detecting jumps, and a simple lagging strategy corrects the bias.
Abstract: We examine tests for jumps based on recent asymptotic results; we interpret the tests as Hausman-type tests. Monte Carlo evidence suggests that the daily ratio z-statistic has appropriate size, good power, and good jump detection capabilities revealed by the confusion matrix comprised of jump classification probabilities. We identify a pitfall in applying the asymptotic approximation over an entire sample. Theoretical and Monte Carlo analysis indicates that microstructure noise biases the tests against detecting jumps, and that a simple lagging strategy corrects the bias. Empirical work documents evidence for jumps that account for seven percent of stock market price variance.
782 citations
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TL;DR: In this article, the authors developed asymptotic distribution theory for GMM estimators and test statistics when some or all of the parameters are weakly identified, and used these results to inform an empirical investigation of various CCAPM specifications; the substantive conclusions reached differ from those obtained using conventional methods.
Abstract: This paper develops asymptotic distribution theory for GMM estimators and test statistics when some or all of the parameters are weakly identified. General results are obtained and are specialized to two important cases: linear instrumental variables regression and Euler equations estimation of the CCAPM. Numerical results for the CCAPM demonstrate that weak-identification asymptotics explains the breakdown of conventional GMM procedures documented in previous Monte Carlo studies. Confidence sets immune to weak identification are proposed. We use these results to inform an empirical investigation of various CCAPM specifications; the substantive conclusions reached differ from those obtained using conventional methods.
770 citations
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TL;DR: In this article, the authors examine the role of capital in financial institutions, why it is important, how market-generated capital "requiremenents" differ from regulatory requirments and the form that regulatory requirements should take.
Abstract: This introductory article examines the role of capital in financial institutions — why it is important, how market-generated capital ‘requiremenents’ differ from regulatory requirments and the form that regulatory requirements should take. Along the way, we examine historical trends in bank capital, problems in measuring capital, and some possible unintended consequences of capital requirements. Within this framework, we evaluate how the contributions to this special issue advance the literature and suggest topics for future research.
766 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 |