Non-Parametric Regression Methods
Author
Abstract
Suggested Citation
DOI: 10.1007/s10287-005-0006-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Nelson, Daniel B., 1990. "ARCH models as diffusion approximations," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 7-38.
- Hutchinson, James M & Lo, Andrew W & Poggio, Tomaso, 1994.
"A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks,"
Journal of Finance, American Finance Association, vol. 49(3), pages 851-889, July.
- James M. Hutchinson & Andrew W. Lo & Tomaso Poggio, 1994. "A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks," NBER Working Papers 4718, National Bureau of Economic Research, Inc.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Peter Winker & Marianna Lyra & Chris Sharpe, 2011.
"Least median of squares estimation by optimization heuristics with an application to the CAPM and a multi-factor model,"
Computational Management Science, Springer, vol. 8(1), pages 103-123, April.
- Peter Winker & Marianna Lyra & Chris Sharpe, 2008. "Least Median of Squares Estimation by Optimization Heuristics with an Application to the CAPM and Multi Factor Models," Working Papers 006, COMISEF.
- Alexandros Agapitos & Anthony Brabazon & Michael O’Neill, 2017. "Regularised gradient boosting for financial time-series modelling," Computational Management Science, Springer, vol. 14(3), pages 367-391, July.
- Doron Sonsino & Tal Shavit, 2014. "Return prediction and stock selection from unidentified historical data," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 641-655, April.
- E. Lorenzo & G. Piscopo & M. Sibillo, 2024. "Addressing the economic and demographic complexity via a neural network approach: risk measures for reverse mortgages," Computational Management Science, Springer, vol. 21(1), pages 1-22, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Boero, G. & Torricelli, C., 1996. "A comparative evaluation of alternative models of the term structure of interest rates," European Journal of Operational Research, Elsevier, vol. 93(1), pages 205-223, August.
- Broadie, Mark & Detemple, Jerome & Ghysels, Eric & Torres, Olivier, 2000.
"American options with stochastic dividends and volatility: A nonparametric investigation,"
Journal of Econometrics, Elsevier, vol. 94(1-2), pages 53-92.
- Mark Broadie & Jérôme Detemple & Eric Ghysels & Olivier Torrès, 1996. "American Options with Stochastic Dividends and Volatility: A Nonparametric Investigation," CIRANO Working Papers 96s-26, CIRANO.
- Ghysels, E. & Harvey, A. & Renault, E., 1995.
"Stochastic Volatility,"
Papers
95.400, Toulouse - GREMAQ.
- Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Universite de Montreal, Departement de sciences economiques.
- Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Eric Ghysels & Andrew Harvey & Eric Renault, 1995. "Stochastic Volatility," CIRANO Working Papers 95s-49, CIRANO.
- GHYSELS, Eric & HARVEY, Andrew & RENAULT, Eric, 1995. "Stochastic Volatility," LIDAM Discussion Papers CORE 1995069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Burak Saltoglu, 2003. "Comparing forecasting ability of parametric and non-parametric methods: an application with Canadian monthly interest rates," Applied Financial Economics, Taylor & Francis Journals, vol. 13(3), pages 169-176.
- Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
- Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
- SILVESTRINI, Andrea & VEREDAS, David, 2005.
"Temporal aggregation of univariate linear time series models,"
LIDAM Discussion Papers CORE
2005059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Andrea, SILVESTRINI, 2005. "Temporal aggregaton of univariate linear time series models," Discussion Papers (ECON - Département des Sciences Economiques) 2005044, Université catholique de Louvain, Département des Sciences Economiques.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2018.
"Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice,"
Energies, MDPI, vol. 11(6), pages 1-19, June.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2015. "Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Documentos de Trabajo del ICAE 2015-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Yiying Li & Michael McAleer, 2015. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Tinbergen Institute Discussion Papers 15-077/III, Tinbergen Institute.
- Chang, C-L. & Li, Y. & McAleer, M.J., 2015. "Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Econometric Institute Research Papers EI2015-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- John M. Maheu & Thomas H. McCurdy, 2002.
"Nonlinear Features of Realized FX Volatility,"
The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 668-681, November.
- John M. Maheu & Thomas McCurdy, 2001. "Nonlinear Features of Realized FX Volatility," CIRANO Working Papers 2001s-42, CIRANO.
- Denisa Banulescu-Radu & Christophe Hurlin & Bertrand Candelon & Sébastien Laurent, 2016.
"Do We Need High Frequency Data to Forecast Variances?,"
Annals of Economics and Statistics, GENES, issue 123-124, pages 135-174.
- Denisa Banulescu-Radu & Christophe Hurlin & Bertrand Candelon & Sébastien Laurent, 2016. "Do We Need High Frequency Data to Forecast Variances?," Post-Print hal-01448237, HAL.
- Anlong Li, 1992. "Binomial approximation in financial models: computational simplicity and convergence," Working Papers (Old Series) 9201, Federal Reserve Bank of Cleveland.
- Charles, Amélie, 2010.
"The day-of-the-week effects on the volatility: The role of the asymmetry,"
European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
- Amélie Charles, 2010. "The day-of-the week effects on the volatility: The role of the asymmetry," Post-Print hal-00771136, HAL.
- Nour Meddahi, 2002.
"A theoretical comparison between integrated and realized volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 479-508.
- Meddahi, N., 2001. "A Theoretical Comparison Between Integrated and Realized Volatilies," Cahiers de recherche 2001-26, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- MEDDAHI, Nour, 2001. "A Theoretical Comparison Between Integrated and Realized Volatilies," Cahiers de recherche 2001-26, Universite de Montreal, Departement de sciences economiques.
- Nour Meddahi, 2001. "A Theoretical Comparison Between Integrated and Realized Volatilities," CIRANO Working Papers 2001s-71, CIRANO.
- Darmoul Mokhtar & Nizar Harrathi, 2007.
"Monetary information arrivals and intraday exchange rate volatility: a comparison of the GARCH and the EGARCH models,"
Post-Print
halshs-00174996, HAL.
- Darmoul Mokhtar & Nizar Harrathi, 2007. "Monetary information arrivals and intraday exchange rate volatility: a comparison of the GARCH and the EGARCH models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00174996, HAL.
- Darmoul Mokhtar & Nizar Harrathi, 2007. "Monetary information arrivals and intraday exchange rate volatility: A comparison of the GARCH and the EGARCH models," Documents de travail du Centre d'Economie de la Sorbonne bla07035, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Westerlund, Joakim, 2014. "On the choice of test for a unit root when the errors are conditionally heteroskedastic," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 40-53.
- Manabu Asai & Michael McAleer, 2009.
"Dynamic Conditional Correlations for Asymmetric Processes,"
CARF F-Series
CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CIRJE F-Series CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- Asai, M. & McAleer, M.J., 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Econometric Institute Research Papers EI 2010-76, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
- Wang Ruihua & Wang Hongjun, 2020. "Correlation Analysis of Stock Market and Fund Market Based on M-Copula-EGARCH-M-GED Model," Journal of Systems Science and Information, De Gruyter, vol. 8(3), pages 240-252, June.
- Amir Mosavi & Pedram Ghamisi & Yaser Faghan & Puhong Duan, 2020. "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," Papers 2004.01509, arXiv.org.
- Guillaume Gaetan Martinet & Michael McAleer, 2018.
"On the invertibility of EGARCH(p, q),"
Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 824-849, September.
- Martinet, G.G. & McAleer, M.J., 2014. "On the Invertibility of EGARCH," Econometric Institute Research Papers EI2014-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Martinet, G.G. & McAleer, M.J., 2015. "On the Invertibility of EGARCH(p,q)," Econometric Institute Research Papers EI 2015-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Guillaume Gaetan Martinet & Michael McAleer, 2015. "On the Invertibility of EGARCH(p,q)," Documentos de Trabajo del ICAE 2015-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Working Papers in Economics 14/21, University of Canterbury, Department of Economics and Finance.
- Guillaume Gaetan Martinet & Michael McAleer, 2015. "On the Invertibility of EGARCH(p,q)," Tinbergen Institute Discussion Papers 15-022/III, Tinbergen Institute.
- Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Tinbergen Institute Discussion Papers 14-096/III, Tinbergen Institute.
- Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Documentos de Trabajo del ICAE 2014-28, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
More about this item
Keywords
Support vector machines; Artificial neural networks; GARCH models; Stock return prediction;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:comgts:v:3:y:2006:i:2:p:161-174. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.