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  • Search: subject:"Long memory model"
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Year of publication
Subject
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Long memory model 7 Generalised autoregressive conditional heteroskedasticity model 5 Realised volatility 5 Stochastic volatility model 5 Superior predictive ability 5 Unobserved components 5 Aktienindex 3 Volatility 3 Prognoseverfahren 2 Regime switching 2 Stock index 2 Stock market returns 2 Time series analysis 2 Volatilität 2 Zeitreihenanalyse 2 ARCH model 1 ARCH-Modell 1 ARMA model 1 ARMA-Modell 1 Aktienmarkt 1 Börsenkurs 1 Capital income 1 Forecasting 1 Forecasting model 1 Kapitaleinkommen 1 Long-memory model 1 Markov chain 1 Markov-Kette 1 REIT volatility 1 Share price 1 Short-memory model 1 Stock market 1 Structural break 1 Strukturbruch 1 Theorie 1 Theory 1 Tunesien 1 Tunisia 1
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Online availability
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Free 4 Undetermined 2
Type of publication
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Book / Working Paper 5 Article 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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Undetermined 5 English 3
Author
All
Jungbacker, Borus 5 Koopman, Siem Jan 5 Hol, Eugenie 4 Ajmi, Ahdi Noomen 2 Charfeddine, Lanouar 2 Hol Uspensky, Eugenie 1 Kang, Zhixin 1 Zhou, Jian 1
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Institution
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Society for Computational Economics - SCE 1 Tinbergen Institute 1 Tinbergen Instituut 1
Published in...
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Tinbergen Institute Discussion Papers 2 Computing in Economics and Finance 2004 1 Discussion paper / Tinbergen Institute 1 Emerging Markets Review 1 Emerging markets review 1 The Journal of Real Estate Finance and Economics 1 Tinbergen Institute Discussion Paper 1
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Source
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RePEc 5 ECONIS (ZBW) 2 EconStor 1
Showing 1 - 8 of 8
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The Tunisian stock market index volatility: Long memory vs. switching regime
Charfeddine, Lanouar; Ajmi, Ahdi Noomen - In: Emerging Markets Review 16 (2013) C, pp. 170-182
This paper investigates the dilemma of long memory versus a switching regime for the Tunisian stock market index volatility. Precisely, different specifications of the Fractionally Integrated GARCH (FIGARCH) model of Baillie et al. (1996) and Switching ARCH (SWARCH) model of Hamilton and Susmel...
Persistent link: https://www.econbiz.de/10010682549
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The Tunisian stock market index volatility : long memory vs. switching regime
Charfeddine, Lanouar; Ajmi, Ahdi Noomen - In: Emerging markets review 16 (2013), pp. 145-169
Persistent link: https://www.econbiz.de/10010243139
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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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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
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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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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
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A Comparison of Alternative Forecast Models of REIT Volatility
Zhou, Jian; Kang, Zhixin - In: The Journal of Real Estate Finance and Economics 42 (2011) 3, pp. 275-294
Persistent link: https://www.econbiz.de/10008926171
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Forecasting daily variability of the S\&P 100 stock index using historical, realised and implied volatility measurements
Hol, Eugenie; Koopman, Siem Jan; Jungbacker, Borus - Society for Computational Economics - SCE - 2004
In this paper we explore the forecasting value of historical volatility (extracted from daily return series), of implied volatility (extracted from option pricing data) and of realised volatility (computed as the sum of squared high frequency returns within a day). First we consider unobserved...
Persistent link: https://www.econbiz.de/10005537649
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