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Uncertainty, learning, and gradual monetary policy Author info | Abstract | Publisher info | Download info | Related research | Statistics Brian Sack
The value of a vast array of financial assets are functions of rates or prices determined in OTC, interbank, or other off-exchange markets. In order to price such derivative assets, underlying rate and price indexes are routinely sampled and estimated. To guard against misreporting, whether unintentional or for market manipulation, many standard contracts utilize a technique known as trimmed-means. This paper points out that this polling problem falls within the statistical framework of robust estimation. Intuitive criteria for choosing among robust valuation procedures are discussed. In particular, the approach taken is to minimize the worst-case scenario arising from a false report. The finite sample performance of the procedures that qualify, the trimmed-mean and the Huber-estimator, are examined in a set of simulation experiments.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number
1998-34.
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Date of creation: 1998Date of revision:
Handle: RePEc:fip:fedgfe:1998-34Contact details of provider: Postal: 20th Street and Constitution Avenue, NW, Washington, DC 20551 Web page: http://www.federalreserve.gov/ More information through EDIRC
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Keywords: Monetary policy ; Monetary theory ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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repec:bep:maccon:v:4:y:2004:i:1:p:1169-1169 is not listed on IDEAS
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