High-frequency financial econometrics (Record no. 1848267)

MARC details
000 -LEADER
fixed length control field 02131nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260415152911.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691161433
037 ## - SOURCE OF ACQUISITION
Terms of availability Texual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Assigning agency RTL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ait-Sahalio, Yacine
9 (RLIN) 1234839
245 ## - TITLE STATEMENT
Title High-frequency financial econometrics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Princeton
Name of publisher, distributor, etc. Princeton University Press
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Other physical details xxiv, 659p.
Dimensions Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc. High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes.Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Finance--Econometric models
9 (RLIN) 1234840
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Econometrics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Economics: Theory Show less
9 (RLIN) 1234841
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textbook
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2026-04-15   RT15285371 2026-04-15 2026-04-15 Textbook
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