Amanote Research

Amanote Research

    RegisterSign In

Modelling Financial High Frequency Data Using Point Processes

SSRN Electronic Journal
doi 10.2139/ssrn.1206162
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2007

Authors
Luc BauwensNikolaus Hautsch
Publisher

Elsevier BV


Related search

Modelling Financial High Frequency Data Using Point Processes

2009English

Evaluating Interval Forecasts of High-Frequency Financial Data

Journal of Applied Econometrics
EconomicsEconometricsSocial Sciences
2003English

Nonlinearity in High-Frequency Financial Data and Hierarchical Models

Studies in Nonlinear Dynamics and Econometrics
EconomicsSocial SciencesAnalysisEconometrics
2001English

Network Detection in Raster Data Using Marked Point Processes

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Network Detection in Raster Data Using Marked Point Processes

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

High-Frequency Financial Econometrics

Risks
ManagementFinanceEconomicsStrategyAccountingEconometrics
2016English

Testing the Markov Property With Ultra-High Frequency Financial Data

SSRN Electronic Journal
2004English

Non-Linear Statistical Modelling of High Frequency Ground Ozone Data

Environmetrics
Ecological ModelingStatisticsProbability
2002English

Realistic Statistical Modelling of Financial Data

International Statistical Review
UncertaintyStatisticsProbability
2000English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy