The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data
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Publication:4555122
DOI10.1080/14697688.2016.1260756zbMath1402.91927OpenAlexW2566106826MaRDI QIDQ4555122
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Publication date: 19 November 2018
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: http://orca.cf.ac.uk/97387/7/MEM_QF_rev1.pdf
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Cites Work
- Unnamed Item
- A multiple indicators model for volatility using intra-daily data
- Finite sample properties of the QMLE for the log-ACD model: application to Australian stocks
- GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)
- Modeling the interdependence of volatility and inter-transaction duration processes.
- Stochastic volatility duration models
- Capturing common components in high-frequency financial time series: a multivariate stochastic multiplicative error model
- Testing for volatility interactions in the Constant Conditional Correlation GARCH model
- NEGATIVE VOLATILITY SPILLOVERS IN THE UNRESTRICTED ECCC-GARCH MODEL
- The Multivariate Portmanteau Statistic
- Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
- ASYMPTOTIC THEORY FOR A VECTOR ARMA-GARCH MODEL
- Non‐monotonic hazard functions and the autoregressive conditional duration model
- The Econometrics of Ultra-high-frequency Data
- AN EXTENDED CONSTANT CONDITIONAL CORRELATION GARCH MODEL AND ITS FOURTH-MOMENT STRUCTURE
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