Peer Reviewed Papers

 Próximos / Artículos presentados

FERNÁNDEZ-AVILÉS, G. & MONTERO, J.M. Spatio-temporal Modeling of Financial Maps from a Joint Multidimensional Scaling-Geostatistical Perspective.

2015


4. CORDOBA, M., FERNÁNDEZ-AVILÉS, G. & GARCÍA , M.C (2015). 2019: ¿La quiebra del sistema público de pensiones?, Revista de Libros,  pp. 1-12.

3. CORDOBA, M., FERNÁNDEZ-AVILÉS, G. & GARCÍA , M.C (2015). Is the Spanish Pension System Approaching a Seismic Zone?, Estudios de Economía Aplicada,  33(3), pp. 735-758.

2. MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2015). Visualization of Permissible Stationary Non Separable Space-Time Covariance Functions, International Journal of Geographical Information Science, 29(10), pp. 1887-1909. http://www.tandfonline.com/doi/abs/10.1080/13658816.2015.1063152

1. MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2015). Functional kriging prediction of pollution series: the geostatistical alternative for spatially-fixed, Estudios de Economía Aplicada33(1), pp. 145-174. http://www.revista-eea.net

2014


5. FERNÁNDEZ-AVILÉS, G., PÉREZ, A. & MARTÍNEZ, J.L. (2014) Detecting Successful Student Profiles At An Open University: The Case Of The UNED (Spain). Journal Of International Education  Research, 10(2), pp. 161 – 170.

4. MONTERO, J.M., FERNÁNDEZ-AVILÉS, G. & MEDINA, M.A. (2014). Using dissimilarity index for analyzing gender equity in childcare activities in Spain. Quantitative Methods in Economic ResearchVol. XV, No. (1), pp. 133 – 141.

3. LAURETI, T., MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2014). A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain, Energy Policy, pp. 74, 557–568. http://www.sciencedirect.com/science/article/pii/S030142151400384X

2. GARCÍA CENTENO, M.C. & FERNÁNDEZ-AVILÉS, G. (2014). Pollution And Environmental Indicators Using A Multicriteria Analysis.  International Business & Economics Research Journal12(7), pp. 1581 –1586.

1. MEDINA, M.A. & FERNÁNDEZ-AVILÉS, G. (2014). Measuring The Factors Involved In The Time Spent In Educational Childcare. Journal Of International Education  Research, 10, pp. 75 – 82. (Estados Unidos de América): 2014. ISSN 2158-0979

2013


3. MONTERO, J.M., FERNÁNDEZ-AVILÉS, G., MONDÉJAR, J. & VARGAS, M. (2012). A Spatio-Temporal Geostatistical Approach to Predicting Pollution Levels. The Case of Mono-Nitrogen Oxides in Madrid City, Computers, Environment and Urban Systems, pp. 95-106 doi:10.1016/j.compenvurbsys.2012.06.005

2. MATEU, J., FERNÁNDEZ-AVILÉS, G. & MONTERO, J.M. (2013). On a class of non-stationary, compactly supported covariance functions. Stochastic Environmental Research and Risk Assessment, 27(2), pp. 297-309. doi: 10.1007/s00477-011-0510-8.

1. MINGUEZ, R., MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2013). Measuring the Impact of Pollution on Property Prices: Objective vs. Subjective Pollution Indicators in Spatial Models. Journal of Geographical Systems. pp. 1-23, doi:10.1007/s10109-012-0168-x

2012


2. FERNÁNDEZ-AVILÉS, G., MINGUEZ, R., & MONTERO, J. (2012) Geostatistical air pollution indices and spatial hedonic and models: the case of Madrid Spain, Journal of Real Estate Research34(2), pp. 243-274. http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/new_current/vol34n02/05.243_274.pdf

1. FERNÁNDEZ-AVILÉS, G., MONTERO, J.M. & ORLOV, A. (2012). Spatial Modeling of Stock Market Comovements. Finance Research Letters9(4), PP. 202-212 http://dx.doi.org/10.1016/j.frl.2012.05.002

2011


8. MONTERO, J.M., FERNÁNDEZ-AVILÉS,.G. & MINGUEZ, R. (2011). Spatial Hedonic Pricing Models for Testing the Adequacy of Acoustic Areas in Madrid City, Spain, Investigaciones Regionales21, pp. 161-185. http://www.aecr.org/images/ImatgesArticles/2012/3/10_MONTERO.pdf

7. MONTERO, J.M., GARCÍA, M.C. & FERNÁNDEZ-AVILÉS, G. (2011). A Threshold Autoregressive Asymmetric Stochastic Volatility Strategy to Alert of Violations of the PM10 Quality Standards. International Journal of Environmental Research11, pp.155-177. 

6. FERNÁNDEZ-AVILÉS, G., MONTERO, J.M. & MATEU, J. (2011). Mathematical Genesis of Spatio-Temporal Covariance Functions, Journal of Mathematics and Statistics7(1), pp. 37-44.

5. MATEU, J., FERNÁNDEZ-AVILÉS, G. & MONTERO, J.M. (2011). On a class of non-stationary, compactly supported covariance functions. Stochastic Environmental Research and Risk Assessment. DOI 10.1007/s00477-011-0510-8

4. MONTERO, J.M., GARCÍA, M.C. & FERNÁNDEZ-AVILÉS, G. (2011) Modelling the Volatility of the Spanish Wholesale Electricity Spot Market. Asymmetric GARCH Models vs. Threshold ARSV model, Revista de Estudios de Economía Aplicada29(2), pp. 1-20.

3. VARGAS, M., MONDEJAR, J., MONTERO, JM.& FERNÁNDEZ-AVILÉS, G. (2011). Per capita CO2 emission trends among European OECD countries. Environmental Engineering and Management Journal. 10, pp. 1865-1872.

2. VARGAS, M, MONDEJAR, J, MESEGUER, ML, ALFARO, JL & FERNÁNDEZ-AVILÉS, G. (2011). Cooperative Learning In Virtual Environments: The Jigsaw Method In Statistical Courses. Journal Of International Education Research, pp. 1-8.

1. GARCÍA, M.C. & FERNÁNDEZ-AVILÉS, G. (2011). Are Men And Women Different In European Higher Education Area? Journal Of International Education Research, pp. 41-48.

2010


6. VARGAS, M., MONDEJAR, J., MESEGUER, M.L., MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2010). Measurement of Students Attitude towards Statistics: A Mokken Scales Analysis of its Dimensions. American Journal of Business Education, 3(13), pp. 1-6, 2010.

5. GARCÍA, M. C., FERNÁNDEZ-AVILÉS, G. & MONTERO, J. M. (2010). Asymmetries in the volatility of precious metals returns: The TA-ARSV modelling strategy. The Journal of Economic Asymmetries, 7(1), pp.23-43.

4. MONTERO, J. M., FERNÁNDEZ-AVILÉS, G. & GARCÍA, M. C. (2010). Contraste de independencia con corrección de continuidad asimétrica: Una aplicación al turismo cultural. Anales de Asepuma, 18:801.

3. MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2010). An alternative to test independence between expectations and disconfirmation versus the positive version of the assimilation theory. An application to the case of cultural/heritage tourism. International Journal of Management and Information Systems 14(4), pp. 7-16.

Best Paper Award.

The 2010 EABR (Business) & ETLC (Education) Conferences.

June 7-10, 2010 held at the Hilton Dublin Hotel in Dublin, Ireland.

2. MONTERO, J.M., GARCÍA, M.C. & FERNÁNDEZ-AVILÉS, G.  (2010). Estimation of Asymmetric Stochastic Volatility Models. Application to Daily Average Price of Energy Products. International Statistical Review. 11, pp. 330-347. http://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2010.00125.x/abstract

1. MONTERO, J.M., FERNÁNDEZ-AVILÉS, G. & GARCÍA, M.C. (2010). Revisiting the expectancy/disconfirmation paradigm for small questionnaires: The cultural/heritage tourism case. Rect@. 11, pp. 155-177.

2009


6. FERNÁNDEZ-AVILÉS, G. & GARCÍA, MC. (2009). Nuevas Técnicas para la Construcción de Índices Ámbientales para grandes ciudades, CLM.Economía, pp. 179-210.

5. MONTERO, J.M., FERNÁNDEZ-AVILÉS, G. & GARCÍA, M.C. (2009). Eoloeconomía: Una Apuesta Española liderada por Castilla-La Mancha. Revista de Estudos Rexionais, 3, pp. 9-24.

Best Paper Award 2009.

Castilla-La Mancha- European Region.

 4. MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2009). How to include environmental quality kriged indexes in hedonic housing price models. The Polish Journal of Environmental Studies, 18(5B), pp. 149-158.

3. FERNÁNDEZ-AVILÉS, G (2009). Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation. International Advances in Economic Research, 15, pp. 44-59.

2. MONTERO, J.M. & FERNÁNDEZ-AVILÉS, G. (2009). Mixed environmental quality indexes for hedonic housing price models: An alternative with area-to-point kriging with external drift. AESTIMUM, 54, pp. 73-94.

1. MONTERO, J.M., MATEU, J., PORCU, E. & FERNÁNDEZ-AVILÉS, G. (2009). Energía Eólica y Geoestadística. Superando la isotropía y la no estacionariedad, incrementando la rentabilidad. Clm.economía, 15, pp. 211-243. http//www.clmeconomia.jccm.es/pdfclm/montero_clm_15.pdf

2008


3. MONTERO, J. M., LARRAZ, B. & FERNÁNDEZ-AVILÉS, G. (2008). Estimating housing prices: Kriging and cokriging as an alternative. Taksonomia, Klasyfikacja i analiza danych, 15,  7(1207), pp. 57-68.

2. CHASCO, C. & FERNÁNDEZ-AVILÉS, G. (2008). Análisis de datos espacio-temporales en geomarketing: difusión espacial del lanzamiento de un nuevo producto. AEDEMO, pp. 28-32.

1. FERNÁNDEZ-AVILÉS, G & LARRAZ, B. (2008) Aportaciones de los métodos geo-cuantitativos a la estimación de precios de vivienda. Clm.economía, 12, pp. 217- 242.6.

 

Proceedings

1. MINGUEZ, R., FERNÁNDEZ-AVILÉS, G. & MONTERO J. M. (2010). Does air pollution affect the price of housing? A Joint Geostatistics and Spatial Econometric Perspective. In the book Development, Energy, Environment, EconomicsIncluded in ISI/SCI Web of Science and Web of Knowledge, Tenerife, Spain, 2010.

2. GARCÍA, M. C., FERNÁNDEZ-AVILÉS, G. & MONTERO, J.M. (2010). Estimating the Asymmetric Pattern of Volatility in China Stock Markets. A New Proposal. Included in ISI/SCI Web of Science and Web of Knowledge, Tenerife, Spain, 2010.

3. FERNÁNDEZ-AVILÉS, G., MONTERO, J. M. & MATEU, J. (2010) Spatio-Temporal Modeling of Carbon Monoxide. Are the ecologists right?. Included in ISI/SCI Web of Science and Web of Knowledge, Tenerife, Spain, 2010.

4. MONTERO, J.M., GARCÍA, M.C. & FERNÁNDEZ-AVILÉS, G. (2011). On the Leverage Effect in the Spanish Electricity Spot Market. In Z Bojkovic, J. Kacprzyk, N. Mastorakis, V. Mladenov, R. Revetria, L.A. Zadeh & A. Zemliak (Eds.). Recent Researches in Energy & Environment, pp. 230-236, WSEAS Press. ISNN: 1792-8230. Included in the ISI Web of Knowledge, EI Compendex, SCOPUS, IET, Elsevier and all the other Indexes of http://www.wseas.us/indexes