Dynamic modelling of irregular times, prices and volumes at high frequencies

This thesis undertakes an investigation into time series at high frequency. The three main channels of information in high frequency data - irregular time intervals (durations), prices and volumes - are all explored and modelled to improve current understanding, while accounting for the long memory...

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Main Author: Shenai, Nikhil
Other Authors: Zaffaroni, Paolo
Published: Imperial College London 2012
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550847
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5508472017-08-30T03:17:24ZDynamic modelling of irregular times, prices and volumes at high frequenciesShenai, NikhilZaffaroni, Paolo2012This thesis undertakes an investigation into time series at high frequency. The three main channels of information in high frequency data - irregular time intervals (durations), prices and volumes - are all explored and modelled to improve current understanding, while accounting for the long memory property, a crucial stylised fact found in the literature. In doing so, we make use of the theory of point processes, econometric techniques such as Whittle estimation and Kalman Filter forecasting, and also sophisticated computing architecture including database systems and programming languages across multiple software environments.330.015195Imperial College Londonhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550847http://hdl.handle.net/10044/1/9477Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 330.015195
spellingShingle 330.015195
Shenai, Nikhil
Dynamic modelling of irregular times, prices and volumes at high frequencies
description This thesis undertakes an investigation into time series at high frequency. The three main channels of information in high frequency data - irregular time intervals (durations), prices and volumes - are all explored and modelled to improve current understanding, while accounting for the long memory property, a crucial stylised fact found in the literature. In doing so, we make use of the theory of point processes, econometric techniques such as Whittle estimation and Kalman Filter forecasting, and also sophisticated computing architecture including database systems and programming languages across multiple software environments.
author2 Zaffaroni, Paolo
author_facet Zaffaroni, Paolo
Shenai, Nikhil
author Shenai, Nikhil
author_sort Shenai, Nikhil
title Dynamic modelling of irregular times, prices and volumes at high frequencies
title_short Dynamic modelling of irregular times, prices and volumes at high frequencies
title_full Dynamic modelling of irregular times, prices and volumes at high frequencies
title_fullStr Dynamic modelling of irregular times, prices and volumes at high frequencies
title_full_unstemmed Dynamic modelling of irregular times, prices and volumes at high frequencies
title_sort dynamic modelling of irregular times, prices and volumes at high frequencies
publisher Imperial College London
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550847
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