Modelling Irregularly Spaced Financial Data: Theory and Practice of Dynamic Duration Models

by Nikolaus Hautsch

Overview

This book provides a methodological framework to model univariate and multivariate irregularly spaced financial data. It gives a thorough review of recent developments in the econometric literature, puts forward existing approaches and opens up new directions. The book presents alternative ways to model so-called financial point processes using dynamic duration as well as intensity models and discusses their ability to account for specific features of point process data, like the occurrence of time-varying covariates, censoring mechanisms and multivariate structures. Moreover, it illustrates the use of various types of financial point processes to model financial market activity from different viewpoints and to construct volatility and liquidity measures under explicit consideration of the passing trading time.

Product Details

ISBN-13:	9783540211341
Publisher:	Springer Berlin Heidelberg
Publication date:	06/24/2004
Series:	Lecture Notes in Economics and Mathematical Systems , #539
Edition description:	Softcover reprint of the original 1st ed. 2004
Pages:	292
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

1 Introduction.- 2 Point Processes.- 2.1 Basic Concepts of Point Processes.- 2.2 Types of Point Processes.- 2.3 Non-Dynamic Point Process Models.- 2.4 Censoring and Time-Varying Covariates.- 2.5 Outlook on Dynamic Extensions.- 3 Economic Implications of Financial Durations.- 3.1 Types of Financial Durations.- 3.2 The Role of Trade Durations in Market Microstructure Theory.- 3.3 Risk Estimation based on Price Durations.- 3.4 Liquidity Measurement.- 4 Statistical Properties of Financial Durations.- 4.1 Data Preparation Issues.- 4.2 Transaction Databases and Data Preparation.- 4.3 Statistical Properties of Trade, Limit Order and Quote Durations.- 4.4 Statistical Properties of Price Durations.- 4.5 Statistical Properties of (Excess) Volume Durations.- 4.6 Summarizing the Statistical Findings.- 5 Autoregressive Conditional Duration Models.- 5.1 ARMA Models for (Log-)Durations.- 5.2 The ACD Model.- 5.3 Extensions of the ACD Framework.- 5.4 Testing the ACD Model.- 5.5 Applications of ACD Models.- 6 Semiparametric Dynamic Proportional Intensity Models.- 6.1 Dynamic Integrated Intensity Processes.- 6.2 The Semiparametric ACPI Model.- 6.3 Properties of the Semiparametric ACPI Model.- 6.4 Extensions of the ACPI Model.- 6.5 Testing the ACPI Model.- 6.6 Estimating Volatility Using the ACPI Model.- 7 Univariate and Multivariate Dynamic Intensity Models.- 7.1 Univariate Dynamic Intensity Models.- 7.2 Multivariate Dynamic Intensity Models.- 7.3 Dynamic Latent Factor Models for Intensity Processes.- 7.4 Applications of Dynamic Intensity Models.- 8 Summary and Conclusions.- A Important Distributions for Duration Data.- B List of Symbols (in Alphabetical Order).- References.

Editorial Reviews

From the reviews of the first edition:

"This book regards financial point processes. … Valuable risk and liquidity measures are constructed by defining financial events in terms of price and /or the volume process. Several applications are illustrated." (Klaus Ehemann, Zentralblatt MATH, Vol. 1081, 2006)

From the Publisher