Miguel Artiach
Personal Details
First Name: | Miguel |
Middle Name: | |
Last Name: | Artiach |
Suffix: | |
RePEc Short-ID: | par295 |
| |
Affiliation
Departamento de Fundamentos del Análisis Económico
Facultad de Ciencias Económicas y Empresariales
Universidad de Alicante
Alicante, Spainhttp://merlin.fae.ua.es/
RePEc:edi:dfalies (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Artiach, Miguel, 2012. "Leverage, skewness and amplitude asymmetric cycles," MPRA Paper 41267, University Library of Munich, Germany.
- Miguel Artiach, 2011. "Second-order moments of frequency asymmetric cycles," Working Papers. Serie AD 2011-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
Articles
- Artiach, Miguel & Arteche, Josu, 2012.
"Doubly fractional models for dynamic heteroscedastic cycles,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
- Artiach Escauriaza, Miguel Manuel & Arteche González, Jesús María, 2011. "Doubly fractional models for dynamic heteroskedastic cycles," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
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Sorry, no citations of working papers recorded.
Articles
- Artiach, Miguel & Arteche, Josu, 2012.
"Doubly fractional models for dynamic heteroscedastic cycles,"
Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 2139-2158.
- Artiach Escauriaza, Miguel Manuel & Arteche González, Jesús María, 2011. "Doubly fractional models for dynamic heteroskedastic cycles," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
Cited by:
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016.
"Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models,"
Tinbergen Institute Discussion Papers
16-044/III, Tinbergen Institute.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2017. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," JRFM, MDPI, vol. 10(4), pages 1-16, December.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016. "Estimating and forecasting generalized fractional Long memory stochastic volatility models," Documentos de Trabajo del ICAE 2016-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Peiris, S. & Asai, M. & McAleer, M.J., 2016. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," Econometric Institute Research Papers EI2016-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Asai, M. & McAleer, M.J. & Peiris, S., 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Econometric Institute Research Papers
EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Asai, Manabu & McAleer, Michael & Peiris, Shelton, 2020. "Realized stochastic volatility models with generalized Gegenbauer long memory," Econometrics and Statistics, Elsevier, vol. 16(C), pages 42-54.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Documentos de Trabajo del ICAE 2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
- Leschinski, Christian & Sibbertsen, Philipp, 2019. "Model order selection in periodic long memory models," Econometrics and Statistics, Elsevier, vol. 9(C), pages 78-94.
- Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
More information
Research fields, statistics, top rankings, if available.Statistics
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Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BEC: Business Economics (1) 2012-09-22
- NEP-ECM: Econometrics (1) 2012-01-03
- NEP-ETS: Econometric Time Series (1) 2012-01-03
- NEP-MST: Market Microstructure (1) 2012-01-03
- NEP-ORE: Operations Research (1) 2012-09-22
Corrections
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