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  • Search: subject:"High-frequency transaction data"
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Year of publication
Subject
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Estimation 3 Schätzung 3 ARCH model 2 ARCH-Modell 2 Bayesian estimation 2 Börsenkurs 2 High-frequency transaction data 2 Intraday Value-at-Risk 2 Risikomaß 2 Risk measure 2 Securities trading 2 Share price 2 Theorie 2 Theory 2 Time series analysis 2 Wertpapierhandel 2 Zeitreihenanalyse 2 high-frequency transaction data 2 mixed-frequency vectorautoregression 2 private consumption expenditures 2 real-time tracker 2 ACD model 1 Asymmetric autoregressive conditional duration model 1 Autocorrelation 1 Autokorrelation 1 Backtesting 1 Bayes-Statistik 1 Bayesian inference 1 Consumer behaviour 1 Copula 1 Data thinning 1 Dauer 1 Duration 1 Duration analysis 1 Dynamic dependence 1 Forecasting model 1 Konsumentenverhalten 1 Market microstructure 1 Market microstructure noise 1 Marktmikrostruktur 1
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Online availability
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Free 3 Undetermined 2
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 5
Author
All
Fourné, Friederike 2 Lehmann, Robert 2 Liu, Shouwei 1 Liu, Xiaoquan 1 NG, Wing Lon 1 Tse, Yiu Kuen 1 Wang, Keli 1 Ye, Wuyi 1
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Institution
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Econometric Society 1
Published in...
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CESifo Working Paper 1 CESifo working papers 1 Econometric Society 2004 Australasian Meetings 1 Journal of econometrics 1 Journal of empirical finance 1
Source
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ECONIS (ZBW) 3 EconStor 1 RePEc 1
Showing 1 - 5 of 5
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From Shopping to Statistics: Tracking and Nowcasting Private Consumption Expenditures in Real-Time
Fourné, Friederike; Lehmann, Robert - 2023
In this paper, we use high-frequency transaction data to develop a weekly tracker for private consumption expenditures …
Persistent link: https://www.econbiz.de/10014469681
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From shopping to statistics : tracking and nowcasting private consumption expenditures in real-time
Fourné, Friederike; Lehmann, Robert - 2023 - This version: November 21, 2023
In this paper, we use high-frequency transaction data to develop a weekly tracker for private consumption expenditures …
Persistent link: https://www.econbiz.de/10014427925
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Cover Image
Intraday VaR : a copula-based approach
Wang, Keli; Liu, Xiaoquan; Ye, Wuyi - In: Journal of empirical finance 74 (2023), pp. 1-21
Persistent link: https://www.econbiz.de/10014477064
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Cover Image
Intraday Value-at-Risk : an asymmetric autoregressive conditional duration approach
Liu, Shouwei; Tse, Yiu Kuen - In: Journal of econometrics 189 (2015) 2, pp. 437-446
Persistent link: https://www.econbiz.de/10011504612
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Duration and Order Type Clusters
NG, Wing Lon - Econometric Society - 2004
This paper introduces a new bivariate autoregressive conditional framework (ACD×ACL) for modelling the arrival process of buy and sell orders in a limit order book. The model contains two dynamic components to describe the observed clustering of durations and order types: a duration process to...
Persistent link: https://www.econbiz.de/10005702575
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