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  • Search: subject:"Long memory models"
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Year of publication
Subject
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Long memory models 10 Zeitreihenanalyse 9 Time series analysis 7 Volatility 7 long memory models 6 Volatilität 5 Estimation theory 4 Forecasting 4 Prognoseverfahren 4 Schätztheorie 4 Volume 4 ARMA model 3 ARMA-Modell 3 Börsenkurs 3 Schätzung 3 Whittle 3 conditional sum of squares 3 Aktienmarkt 2 Börsenumsatz 2 Forecast 2 Forecasting model 2 High-frequency volatility 2 Intraday volume 2 Japan 2 Maximum likelihood estimation 2 Maximum-Likelihood-Schätzung 2 Monte Carlo study 2 Persistence 2 Prognose 2 Renewable energy consumption 2 Seasonality 2 Tapered periodogram 2 Theorie 2 Theory 2 Unit roots 2 frequency domain 2 maximum likelihood 2 mean squared error 2 pseudo true parameter 2 time domain 2
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Online availability
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Free 9 Undetermined 6
Type of publication
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Book / Working Paper 11 Article 8
Type of publication (narrower categories)
All
Article in journal 5 Aufsatz in Zeitschrift 5 Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
All
English 11 Undetermined 8
Author
All
Kaizoji, Taisei 5 Lux, Thomas 5 Martin, Gael M. 4 Nadarajah, K. 4 Poskitt, Donald Stephen 3 Barros, Carlos Pestana 2 Ferrara, Laurent 2 Gao, Ping 2 Guegan, Dominique 2 Li, Handong 2 Payne, James E. 2 Ye, Xunyu 2 Andrada Félix, Julián 1 BALCILAR, MEHMET 1 Diaz, John Francis T. 1 Fernández Rodríguez, Fernando 1 Fuertes, Ana María 1 Gil-Alana, Luis A. 1 Gil-Alaña, Luis A. 1 Kruijer, Willem 1 Masa, Argel S. 1 Poskitt, D.S. 1 Rousseau, Judith 1
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Institution
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HAL 2 Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 2 Department of Econometrics and Business Statistics, Monash Business School 1 Society for Computational Economics - SCE 1 Université Paris-Dauphine (Paris IX) 1
Published in...
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Economics Working Paper 2 Economics Working Papers / Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 2 Post-Print / HAL 2 Working paper / Department of Econometrics and Business Statistics, Monash University 2 Computing in Economics and Finance 2004 1 Economic Modelling 1 Economic modelling 1 Economics Papers from University Paris Dauphine 1 Emerging Markets Finance and Trade 1 Energy Economics 1 Energy economics 1 International journal of forecasting 1 Journal of econometrics 1 Margin: the journal of applied economic research 1 Monash Econometrics and Business Statistics Working Papers 1
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Source
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RePEc 10 ECONIS (ZBW) 7 EconStor 2
Showing 11 - 19 of 19
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Fractional seasonality: Models and Application to Economic Activity in the Euro Area
Ferrara, Laurent; Guegan, Dominique - HAL - 2006
on euro area economic data and we show that generalized long memory models offer competitive alternatives to classical …
Persistent link: https://www.econbiz.de/10010750835
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Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching
Lux, Thomas; Kaizoji, Taisei - Institut für Volkswirtschaftslehre, … - 2006
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions … of up to 100 days ahead. In most respects, the long memory models (ARFIMA, FIGARCH and the recently introduced …
Persistent link: https://www.econbiz.de/10005082914
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Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors
Rousseau, Judith; Kruijer, Willem - Université Paris-Dauphine (Paris IX) - 2013
For a Gaussian time series with long-memory behavior, we use the FEXP-model for semi-parametric estimation of the long-memory parameter $d$. The true spectral density $f_o$ is assumed to have long-memory parameter $d_o$ and a FEXP-expansion of Sobolev-regularity $\be 1$. We prove that when $k$...
Persistent link: https://www.econbiz.de/10010960551
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U.S. Disaggregated renewable energy consumption: Persistence and long memory behavior
Barros, Carlos Pestana; Gil-Alana, Luis A.; Payne, James E. - In: Energy Economics 40 (2013) C, pp. 425-432
This study examines the degree of time persistence in U.S. disaggregated renewable energy consumption (hydropower, geothermal, solar, wind, wood, waste, and biofuels) using innovative fractional integration and autoregressive models with monthly data for the period 1994:2 to 2011:10. The results...
Persistent link: https://www.econbiz.de/10010718744
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US disaggregated renewable energy consumption : persistence and long memory behavior
Barros, Carlos Pestana; Gil-Alaña, Luis A.; Payne, James E. - In: Energy economics 40 (2013), pp. 425-432
Persistent link: https://www.econbiz.de/10010351673
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Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models
Lux, Thomas; Kaizoji, Taisei - 2004
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions … of up to 100 days ahead. In most respects, the long memory models (ARFIMA, FIGARCH and the recently introduced …
Persistent link: https://www.econbiz.de/10010295136
Saved in:
Cover Image
Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models
Lux, Thomas; Kaizoji, Taisei - Institut für Volkswirtschaftslehre, … - 2004
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions … of up to 100 days ahead. In most respects, the long memory models (ARFIMA, FIGARCH and the recently introduced …
Persistent link: https://www.econbiz.de/10005082828
Saved in:
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Persistence in Inflation: Does Aggregation Cause Long Memory?
BALCILAR, MEHMET - In: Emerging Markets Finance and Trade 40 (2004) 5, pp. 25-56
This paper examines persistence in Turkish inflation rates using data from consumer and wholesale price indices. The inflationary process in Turkey is believed to be highly inertial, which should lead to strongly persistent inflation series. Persistence of seventy-five inflation series at...
Persistent link: https://www.econbiz.de/10005753583
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Cover Image
Forecasting Volume and Volatility in the Tokyo Stock Market: The Advantage of Long Memory Models
Kaizoji, Taisei; Lux, Thomas - Society for Computational Economics - SCE - 2004
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions … of up to 100 days ahead. In most respects, the long memory models (ARFIMA, FIGARCH and multifractal models) dominate over …
Persistent link: https://www.econbiz.de/10005706539
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