M.Dolores Márquez Cebrián
(M.Dolores Marquez Cebrian)

Personal Details

First Name:	M.Dolores
Middle Name:
Last Name:	Marquez Cebrian
Suffix:
RePEc Short-ID:	pmr26
	[This author has chosen not to make the email address public]
	http://pagines.uab.cat/dmarquez/

Affiliation

Unitat de Fonaments de l'Anàlisi Econòmica
Departament d'Economia i Història Econòmica
Universitat Autònoma de Barcelona
Barcelona School of Economics (BSE)

Barcelona, Spain
http://selene.uab.es/_cs_u_fonaments/
RePEc:edi:ufuabes (more details at EDIRC)

Citations

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Working papers

1. Muñoz, Mª Pilar & Márquez, María Dolores & Sánchez, Josep A., 2011. "Contagion between United States and european markets during the recent crises," MPRA Paper 35993, University Library of Munich, Germany.

   Cited by:

   1. Amira Akl Ahmed & Rania Ihab Naguib, 2018. "DCCs among Sector Indexes and Dynamic Causality between Foreign Exchange and Equity Sector Volatility: Evidence from Egypt," Applied Economics and Finance, Redfame publishing, vol. 5(1), pages 14-28, January.

Articles

1. M. Pilar Muñoz & M. Dolores Marquez & Lesly M. Acosta, 2007. "Forecasting volatility by means of threshold models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 343-363.

   Cited by:

   1. Hajar Nasrazadani & Maria Pilar Mu oz Gracia, 2017. "Comparing Iranian and Spanish Electricity Markets with Nonlinear Time Series," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 262-286.
   2. 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.
   3. Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.
   4. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira Da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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.

1. NEP-CFN: Corporate Finance (1) 2012-01-25
2. NEP-EEC: European Economics (1) 2012-01-25

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