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  • Search: subject:"Generalised autoregressive conditional heteroskedasticity model"
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Year of publication
Subject
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Generalised autoregressive conditional heteroskedasticity model 13 Autoregressive fractionally integrated moving average model 8 Long memory process 8 Periodic autoregressive model 8 Volatility 8 Long memory model 5 Realised volatility 5 Stochastic volatility model 5 Superior predictive ability 5 Unobserved components 5 ARCH-Modell 4 Strompreis 4 Volatilität 4 ARCH model 3 ARMA-Modell 3 Time series analysis 3 Zeitreihenanalyse 3 ARMA model 2 Aktienindex 2 Autocorrelation 2 Autokorrelation 2 Electricity price 2 Estimation theory 2 Heteroskedastizität 2 Prognoseverfahren 2 Schätztheorie 2 EU-Staaten 1 Estimation 1 Forecasting model 1 Heteroscedasticity 1 Schätzung 1 Stock index 1 Theorie 1 Theory 1 Volatility. 1
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Online availability
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Free 12
Type of publication
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Book / Working Paper 13
Type of publication (narrower categories)
All
Working Paper 6 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3
Language
All
Undetermined 7 English 6
Author
All
Koopman, Siem Jan 13 Carnero, M. Angeles 8 Ooms, Marius 8 Jungbacker, Borus 5 Hol, Eugenie 4 Hol Uspensky, Eugenie 1
Institution
All
Tinbergen Institute 3 Tinbergen Instituut 3 Society for Computational Economics - SCE 1
Published in...
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Tinbergen Institute Discussion Papers 6 Discussion paper / Tinbergen Institute 3 Tinbergen Institute Discussion Paper 3 Computing in Economics and Finance 2004 1
Source
All
RePEc 7 ECONIS (ZBW) 3 EconStor 3
Showing 1 - 10 of 13
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Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices
Koopman, Siem Jan; Ooms, Marius; Carnero, M. Angeles - 2005
Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...
Persistent link: https://www.econbiz.de/10010325542
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Cover Image
Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices
Koopman, Siem Jan; Ooms, Marius; Carnero, M. Angeles - Tinbergen Institute - 2005
Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...
Persistent link: https://www.econbiz.de/10005144404
Saved in:
Cover Image
Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices
Koopman, Siem Jan; Ooms, Marius; Carnero, M. Angeles - Tinbergen Instituut - 2005
This discussion paper resulted in an article in the <I>Journal of the American Statistical Association</I> (2007). Vol. 102, issue 477, pages 16-27.<p> Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis...</p></i>
Persistent link: https://www.econbiz.de/10011256266
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Cover Image
Periodic seasonal Reg-ARFIMA-GARCH models for daily electricity spot prices
Koopman, Siem Jan; Ooms, Marius; Carnero, M. Angeles - 2005
Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...
Persistent link: https://www.econbiz.de/10011346471
Saved in:
Cover Image
Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements
Koopman, Siem Jan; Jungbacker, Borus; Hol, Eugenie - 2004
The increasing availability of financial market data at intraday frequencies has not only led to the development of improved volatility measurements but has also inspired research into their potential value as an information source for volatility forecasting. In this paper we explore the...
Persistent link: https://www.econbiz.de/10010325171
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Cover Image
Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements
Koopman, Siem Jan; Jungbacker, Borus; Hol, Eugenie - Tinbergen Institute - 2004
The increasing availability of financial market data at intraday frequencies has not only led to the development of improved volatility measurements but has also inspired research into their potential value as an information source for volatility forecasting. In this paper we explore the...
Persistent link: https://www.econbiz.de/10005450798
Saved in:
Cover Image
Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements
Koopman, Siem Jan; Jungbacker, Borus; Hol, Eugenie - Tinbergen Instituut - 2004
This discussion paper resulted in an article in the <I>Journal of Empirical Finance</I> (2005). Vol. 12, issue 3, pages 445-475.<p> The increasing availability of financial market data at intraday frequencies has not only led to the development of improved volatility measurements but has also inspired...</p></i>
Persistent link: https://www.econbiz.de/10011256228
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Cover Image
Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements
Koopman, Siem Jan; Jungbacker, Borus; Hol Uspensky, Eugenie - 2004
The increasing availability of financial market data at intraday frequencies has not only led to the development of improved volatility measurements but has also inspired research into their potential value as an information source for volatility forecasting. In this paper we explore the...
Persistent link: https://www.econbiz.de/10011334848
Saved in:
Cover Image
Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices
Carnero, M. Angeles; Koopman, Siem Jan; Ooms, Marius - 2003
Although the main interest in the modelling of electricity prices is often on volatility aspects, we argue that stochastic heteroskedastic behaviour in prices can only be modelled correctly when the conditional mean of the time series is properly modelled. In this paper we consider different...
Persistent link: https://www.econbiz.de/10010324825
Saved in:
Cover Image
Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices
Carnero, M. Angeles; Koopman, Siem Jan; Ooms, Marius - Tinbergen Institute - 2003
Although the main interest in the modelling of electricity prices is often on volatility aspects, we argue that stochastic heteroskedastic behaviour in prices can only be modelled correctly when the conditional mean of the time series is properly modelled. In this paper we consider different...
Persistent link: https://www.econbiz.de/10005137027
Saved in:
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