EconPapers    
Economics at your fingertips  
 

Tail Properties of Correlation Measures

Thomas M. Lewis () and Geoffrey Pritchard ()
Additional contact information
Thomas M. Lewis: Furman University
Geoffrey Pritchard: The University of Auckland

Journal of Theoretical Probability, 2003, vol. 16, issue 3, 771-788

Abstract: Abstract We study the tail properties of a class of Borel probability measures, called correlation measures. We show that (i) there exist correlation measures with exponentially decaying tail probabilities, and (ii) roughly speaking, no correlation measure may have smaller tail probabilities than a Gaussian measure.

Keywords: tail properties; Borel probability measures; Gaussian measure (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1023/A:1025680718292 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:16:y:2003:i:3:d:10.1023_a:1025680718292

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959

DOI: 10.1023/A:1025680718292

Access Statistics for this article

Journal of Theoretical Probability is currently edited by Andrea Monica

More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jotpro:v:16:y:2003:i:3:d:10.1023_a:1025680718292