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Institution

Federal Reserve System

OtherWashington 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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors focus on downgrades as stress events that drive the selling of corporate bonds and show that the illiquidity of stressed bonds has increased after the Volcker Rule.

149 citations

Journal ArticleDOI
TL;DR: In this paper, the authors construct a model where capital competes with fiat money as a medium of exchange, and establish conditions on fundamentals under which fiat money can be both valued and socially beneficial.

149 citations

Journal ArticleDOI
TL;DR: This paper investigated the plausibility of an inverse relationship between inflation and real returns and found that inflation and nominal equity returns are negatively correlated or uncorrelated for all low-to moderate inflation economies examined.

149 citations

Journal ArticleDOI
TL;DR: In this paper, monetary policy is redundant if wage setters exploit the incomplete current information embodied in today's nominal interest rate, and the monetary authorities can save wage setter the costs of indexing to the interest rate.
Abstract: Optimal monetary policy rules are derived in a rational expectations cum contracting framework. Monetary policy is redundant if wage setters exploit the incomplete current information embodied in today's nominal interest rate. However, the monetary authorities can save wage setters the costs of “indexing†to the interest rate. A contemporaneous money supply feedback rule is as effective as wage indexation. A lagged rule, relevant under a regime of money supply targeting, is also as effective if investors use the interest rate. Both rules have the same implications for the real interest rate as Poole's combination policy. However, the two rules have strikingly different implications for the nominal interest rate.

149 citations

Posted Content
TL;DR: In this article, Pykhtin et al. propose a framework for modeling credit exposure and pricing counter-party risk, which is based on the credit value adjustment (CVA) method.
Abstract: Michael Pykhtin and Steven Zhu offer a blueprint for modelling credit exposure and pricing counter-party risk. They focus on two main issues: modelling credit exposure and pricing counter-party risk. In the part devoted to credit exposure, we will define credit exposure at contract and counter-party levels, introduce netting and margin agreements as risk management tools for reducing counter-party-level exposure and present a framework for modelling credit exposure. In the part devoted to pricing, we will define credit value adjustment (CVA) as the price of counter-party credit risk and discuss approaches to its calculation.

149 citations


Authors

Showing all 2412 results

NameH-indexPapersCitations
Ross Levine122398108067
Francis X. Diebold11036874723
Kenneth Rogoff10739075971
Allen N. Berger10638265596
Frederic S. Mishkin10037234898
Thomas J. Sargent9637039224
Ben S. Bernanke9644676378
Stijn Claessens9646242743
Andrew K. Rose8837442605
Martin Eichenbaum8723437611
Lawrence J. Christiano8525337734
Jie Yang7853220004
James P. Smith7837223013
Glenn D. Rudebusch7322622035
Edward C. Prescott7223555508
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202247
2021304
2020448
2019356
2018316