Midlands State University Library

Conditions for the propagation of memory parameter from durations to counts and realized volatility (Record no. 164531)

MARC details
000 -LEADER
fixed length control field 01922nam a22002897a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240325100936.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240325b |||||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 02664666
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB139.T52 ECO
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Deo, Rohit
Relator term author
245 10 - TITLE STATEMENT
Title Conditions for the propagation of memory parameter from durations to counts and realized volatility
Statement of responsibility, etc. created by Rohit Deo , Clifford M. Hurvich , Philippe Soulier and Yi Wang
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge:
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2009.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Econometric theory
Volume/sequential designation Volume 25, number 3,
520 3# - SUMMARY, ETC.
Summary, etc. We establish sufficient conditions on durations that are stationary with finite variance and memory parameter to ensure that the corresponding counting process N(t) satisfies Var N(t) ~ Ct2d+1 (C > 0) as t → ∞, with the same memory parameter that was assumed for the durations. Thus, these conditions ensure that the memory parameter in durations propagates to the same memory parameter in the counts. We then show that any autoregressive conditional duration ACD(1,1) model with a sufficient number of finite moments yields short memory in counts, whereas any long memory stochastic duration model with d > 0 and all finite moments yields long memory in counts, with the same d. Finally, we provide some results about the propagation of long memory to the empirically relevant case of realized variance estimates affected by market microstructure noise contamination.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Time series analysis
Form subdivision Estimation theory
General subdivision Volatility
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Duration analysis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hurvich, Clifford M.
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Soulier, Philippe
Relator term co author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Yi
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/S0266466608090294
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 22/06/2010 Vol. 25, no.3 (pages 764-792)   HB139.T52 ECO 25/03/2024 SP3258 25/03/2024 Journal Article For In House Use Only