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Institution

Federal Reserve Bank of St. Louis

OtherSt Louis, Missouri, United States
About: Federal Reserve Bank of St. Louis is a other organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 203 authors who have published 1650 publications receiving 46084 citations.


Papers
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Journal ArticleDOI
TL;DR: The authors show that dynamic interactions between elastic credit supply and persistent credit demand can generate a multiplier-accelerator mechanism that transforms a one-time productivity or financial shock into large and long-lasting boom-bust cycles.
Abstract: Investment booms and asset "bubbles" are often the consequence of heavily leveraged borrowing and speculations of persistent growth in asset demand. We show theoretically that dynamic interactions between elastic credit supply (due to leveraged borrowing) and persistent credit demand (due to consumption habit) can generate a multiplier-accelerator mechanism that transforms a one-time productivity or financial shock into large and long-lasting boom-bust cycles. The predictions are consistent with the basic features of investment booms and the consequent asset-market crashes led by excessive credit expansion.

30 citations

Journal ArticleDOI
TL;DR: All record-keeping systems (which include monetary systems) must contend with trust issues and methods of organizing historical information as mentioned in this paper, and trust issues are a major obstacle for all record keeping systems.
Abstract: All record-keeping systems (which include monetary systems) must contend with trust issues and methods of organizing historical information.

30 citations

Journal ArticleDOI
TL;DR: A review of the rapid advances in foreign exchange volatility modeling made in the last three decades can be found in this article, where the authors compare the performance of the ARCH/GARCH model and jump estimation methods empirically.
Abstract: This chapter reviews the rapid advances in foreign exchange volatility modeling made in the last three decades. Academic researchers have sought to fit the three major characteristics of foreign exchange volatility: intraday periodicity, autocorrelation and discontinuities in prices. Early research modeled the autocorrelation in daily and weekly squared foreign exchange returns with ARCH/GARCH models. Increased computing power and availability of high-frequency data allowed later researchers to improve volatility and jumps estimates. Researchers also found it useful to incorporate information about periodic volatility patterns and macroeconomic announcements in their calculations. This article details these volatility and jump estimation methods, compares those methods empirically and provides some suggestions for further research.

30 citations

Journal ArticleDOI
TL;DR: In the 1920s, the number of banks per capita and the ratio of state-chartered to federally chartered banks were highest in states with deposit insurance systems, low minimum capital requirements, and branching restrictions as discussed by the authors.
Abstract: This article investigates interstate differences in banking market structure during the 1920s. It finds that the number of banks per capita and the ratio of state-chartered to federally chartered banks were highest in states with deposit insurance systems, low minimum capital requirements, and branching restrictions. In the 1920s banking consolidation was greatest where falling incomes caused high failure rates, in states with deposit insurance, and where branching increased. After 1920, the high failure rate of insured state banks caused the ratio of state–chartered to federally chartered banks to decline relatively more in states with insurance systems.

30 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extract jumps and cojumps from three types of assets: stock index futures, bond futures, and exchange rates, and characterize the dynamics of these discontinuities and informally relate them to U.S. macroeconomic releases before using limited dependent variable models to formally model how news surprises explain (co)jumps.
Abstract: We use recently proposed tests to extract jumps and cojumps from three types of assets: stock index futures, bond futures, and exchange rates. We then characterize the dynamics of these discontinuities and informally relate them to U.S. macroeconomic releases before using limited dependent variable models to formally model how news surprises explain (co)jumps. Nonfarm payroll and federal funds target announcements are the most important news across asset classes. Trade balance shocks are important for foreign exchange jumps. We relate the size, frequency and timing of jumps across asset classes to the likely sources of shocks and the relation of asset prices to fundamentals in the respective classes.

30 citations


Authors

Showing all 214 results

NameH-indexPapersCitations
William Easterly9325349657
David K. Levine6635822455
Lucio Sarno6521817418
Paul W. Wilson5314718562
Christopher J. Neely472018438
Edward Nelson461437819
David C. Wheelock401736125
Michele Boldrin401548365
Massimo Guidolin362305640
Daniel L. Thornton362305064
Jeremy M. Piger34985997
Howard J. Wall341364488
Michael T. Owyang342043890
Christopher Otrok34987601
Ping Wang332414263
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202216
202128
202080
201952
201881