Uneingeschränkter Zugang

A Mean-Variance Optimization Approach for Residential Real Estate Valuation


Zitieren

Ahn, J. J., Byun, H. B., Oh, K. Y., & Kim, Y. K. (2012). Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting. Expert Systems with Applications, 39, 8369–8379. https://doi.org/10.1016/j.eswa.2012.01.18310.1016/j.eswa.2012.01.183 Search in Google Scholar

Antipov, E. A., & Pokryshevskaya, E. B. (2012). Mass appraisal of residential apartments: An application of random forest for valuation and a cart-based approach for model diagnostics. Expert Systems with Applications, 39(2), 1772–1778. https://doi.org/10.1016/j.eswa.2011.08.07710.1016/j.eswa.2011.08.077 Search in Google Scholar

Appraisal Institute. (1996). The appraisal of real estate. Appraisal Institute. Search in Google Scholar

Arribas, I., García, F., Guijarro, F., Oliver, J., & Tamosiuniene, R. (2016). Mass appraisal of residential real estate using multilevel modelling. International Journal of Strategic Property Management, 20(1), 77–87. https://doi.org/10.3846/1648715X.2015.113470210.3846/1648715X.2015.1134702 Search in Google Scholar

Aznar, J., Ferrís-Oñate, J., & Guijarro, F. (2010). An ANP framework for property pricing combining quantitative and qualitative attributes. The Journal of the Operational Research Society, 61(5), 740–755. https://doi.org/10.1057/jors.2009.3110.1057/jors.2009.31 Search in Google Scholar

Aznar, J., & Guijarro, F. (2007). Estimating regression parameters with imprecise input data in an appraisal context. European Journal of Operational Research, 176(3), 1896–1907. https://doi.org/10.1016/j.ejor.2005.10.02910.1016/j.ejor.2005.10.029 Search in Google Scholar

Aznar, J., Guijarro, F., & Moreno-Jiménez, J. M. (2011). Mixed valuation methods: A combined AHPGP procedure for individual and group multicriteria agricultural valuation. Annals of Operations Research, 190(1), 221–238. https://doi.org/10.1007/s10479-009-0527-210.1007/s10479-009-0527-2 Search in Google Scholar

Baldominos, A., Blanco, I., Moreno, A. J., Iturrarte, R., Bernárdez, Ó., & Afonso, C. (2018). Identifying real estate opportunities using machine learning. Applied Sciences (Basel, Switzerland), 8(11), 2321. https://doi.org/10.3390/app811232110.3390/app8112321 Search in Google Scholar

Brown, K., & Uyar, B. (2004). A hierarchical linear model approach for assessing the effects of house and neighborhood characteristics on housing prices. Journal of Real Estate Practice and Education, 7(1), 15–24. https://doi.org/10.1080/10835547.2004.1209160310.1080/10835547.2004.12091603 Search in Google Scholar

Cupal, M., Sedlacik, M., & Michalek, J. (2019). The assessment of a building’s insurable value using multivariate statistics: The case of the Czech Republic. Real Estate Management and Valuation, 27(3), 81–96. https://doi.org/10.2478/remav-2019-002710.2478/remav-2019-0027 Search in Google Scholar

d’Amato, M. (2002). Appraising property with rough set theory. Journal of Property Investment & Finance, 20(4), 406–418. https://doi.org/10.1108/1463578021043507410.1108/14635780210435074 Search in Google Scholar

d’Amato, M. (2004). A comparison between MRA and rough set theory for mass appraisal. A case in Bari. International Journal of Strategic Property Management, 8(4), 205–217. https://doi.org/10.3846/1648715X.2004.963751810.3846/1648715X.2004.9637518 Search in Google Scholar

d’Amato, M. (2007). Comparing rough set theory with multiple regression analysis as automated valuation methodologies. International Real Estate Review, 10(2), 42–65. Search in Google Scholar

Dmytrow, K., & Gnat, S. (2019). Application of AHP method in assessment of the influence of attributes on value in the process of real estate valuation. Real Estate Management and Valuation, 27(4), 15–26. https://doi.org/10.2478/remav-2019-003210.2478/remav-2019-0032 Search in Google Scholar

Ebru, C., & Eban, A. (2011). Determinants of house prices in Istanbul: A quantile regression approach. Quality & Quantity, 45(2), 305–317. https://doi.org/10.1007/s11135-009-9296-x10.1007/s11135-009-9296-x Search in Google Scholar

Eckert, J. K., Gloudemans, R. J., & Almy, R. R. (1990). Property appraisal and assessment administration. International Association of Assessing Officers. Search in Google Scholar

Fan, G. Z., Ong, S. E., & Koh, H. C. (2006). Determinants of house price: A decision tree approach. Urban Studies (Edinburgh, Scotland), 43(12), 2301–2315. https://doi.org/10.1080/0042098060099092810.1080/00420980600990928 Search in Google Scholar

García, N., Gámez, M., & Alfaro, E. (2008). ANN+GIS: An automated system for property valuation. Neurocomputing, 71(4-6), 733–742. https://doi.org/10.1016/j.neucom.2007.07.03110.1016/j.neucom.2007.07.031 Search in Google Scholar

Gu, J., Zhu, M., & Jiang, L. (2011). Housing price forecasting based on genetic algorithm and support vector machine. Expert Systems with Applications, 38(4), 3383–3386. https://doi.org/10.1016/j.eswa.2010.08.12310.1016/j.eswa.2010.08.123 Search in Google Scholar

Guijarro, F. (2019). Assessing the impact of road traffic externalities on residential price values: A case study in Madrid, Spain. International Journal of Environmental Research and Public Health, 16(24), 5149. https://doi.org/10.3390/ijerph16245149 PMID:3186105510.3390/ijerph16245149 Search in Google Scholar

Hausler, J., Ruscheinsky, J., & Lang, M. (2018). News-based sentiment analysis in real estate: A machine learning approach. Journal of Property Research, 35(4), 344–371. https://doi.org/10.1080/09599916.2018.155192310.1080/09599916.2018.1551923 Search in Google Scholar

Hu, L., He, S., Han, Z., Xiao, H., Su, S., Weng, M., & Cai, Z. (2019). Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy, 82, 657–673. https://doi.org/10.1016/j.landusepol.2018.12.03010.1016/j.landusepol.2018.12.030 Search in Google Scholar

Guo, J., Xu, S., & Bi, Z. (2013). An integrated cost-based approach for real estate appraisals. Information Technology and Management, 15(2), 131–139. https://doi.org/10.1007/s10799-012-0152-710.1007/s10799-012-0152-7 Search in Google Scholar

IAAO. (2003). Standard on automated valuation models (AVMs). International Association of Assessing Officers. Search in Google Scholar

Kane, M. S., Linne, M. R., & Johnson, J. A. (2004). Practical Applications in Appraisal Valuation Modeling: Statistical Methods for Real Estate Practitioners. Appraisal Institute. Search in Google Scholar

Kontrimas, V., & Verikas, A. (2011). The mass appraisal of the real estate by computational intelligence. Applied Soft Computing, 11(1), 443–448. https://doi.org/10.1016/j.asoc.2009.12.00310.1016/j.asoc.2009.12.003 Search in Google Scholar

Lins, M. P. E., Novaes, L. F. L., & Legey, L. F. L. (2005). Real estate appraisal: A double perspective data envelopment analysis approach. Annals of Operations Research, 138(1), 79–96. https://doi.org/10.1007/s10479-005-2446-110.1007/s10479-005-2446-1 Search in Google Scholar

Liu, F., Liu, D., Malekian, R., Li, Z., & Wang, D. (2017). A measurement model for real estate bubble size based on the panel data analysis: An empirical case study. PLoS One, 12(3), e0173287. https://doi.org/10.1371/journal.pone.0173287 PMID:2827314110.1371/journal.pone.0173287 Search in Google Scholar

Liu, L., & Wu, L. (2020). Predicting housing prices in China based on modified Holt’s exponential smoothing incorporating whale optimization algorithm. Socio-Economic Planning Sciences, 72, 100916. Advance online publication. https://doi.org/10.1016/j.seps.2020.10091610.1016/j.seps.2020.100916 Search in Google Scholar

Liu, R., & Liu, L. (2019). Predicting housing price in China based on long short-term memory incorporating modified genetic algorithm. Soft Computing, 23(22), 11829–11838. https://doi.org/10.1007/s00500-018-03739-w10.1007/s00500-018-03739-w Search in Google Scholar

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x10.1111/j.1540-6261.1952.tb01525.x Search in Google Scholar

Narula, S. C., Wellington, J. F., & Lewis, S. A. (2012). Valuating residential real estate using parametric programming. European Journal of Operational Research, 217(1), 120–128. https://doi.org/10.1016/j.ejor.2011.08.01410.1016/j.ejor.2011.08.014 Search in Google Scholar

Park, B., & Bae, J. K. (2015). Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data. Expert Systems with Applications, 42(6), 2928–2934. https://doi.org/10.1016/j.eswa.2014.11.040; https://doi.org/10.1016/j.eswa.2015.03.005 Search in Google Scholar

Pérez-Rave, J. I., Correa-Morales, J. C., & González-Echavarría, F. (2019). A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes. Journal of Property Research, 36(1), 59–96. https://doi.org/10.1080/09599916.2019.158748910.1080/09599916.2019.1587489 Search in Google Scholar

Plakandaras, V., Gupta, R., Gogas, P., & Papadimitriou, T. (2015). Forecasting the US real house price index. Economic Modelling, 45, 259–267. https://doi.org/10.1016/j.econmod.2014.10.05010.1016/j.econmod.2014.10.050 Search in Google Scholar

Raslanas, S., Zavadskas, E. K., Kaklauskas, A., & Zabulenas, A. R. (2010). Land value tax in the context of sustainable urban development and assessment. Part II - Analysis of land valuation techniques: The case of Vilnius. International Journal of Strategic Property Management, 14(2), 173–190. https://doi.org/10.3846/ijspm.2010.1310.3846/ijspm.2010.13 Search in Google Scholar

Selim, H. (2009). Determinants of house prices in turkey: Hedonic regression versus artificial neural network. Expert Systems with Applications, 36(2), 2843–2852. https://doi.org/10.1016/j.eswa.2008.01.04410.1016/j.eswa.2008.01.044 Search in Google Scholar

Valier, A. (2020). Who performs better? AVMs vs hedonic models. Journal of Property Investment & Finance, 38(3), 213–225. https://doi.org/10.1108/JPIF-12-2019-015710.1108/JPIF-12-2019-0157 Search in Google Scholar

Wiltshaw, D. (1995). A comment on methodology and valuation. Journal of Property Research, 12(2), 157–161. https://doi.org/10.1080/0959991950872413910.1080/09599919508724139 Search in Google Scholar

Wu, C., Ye, X., Ren, F., Wan, Y., Ning, P., & Du, Q. (2016). Spatial and social media data analytics of housing prices in Shenzhen, China. PLoS One, 11(10), e0164553. https://doi.org/10.1371/journal.pone.0164553 PMID:2778364510.1371/journal.pone.0164553 Search in Google Scholar

eISSN:
2300-5289
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Wirtschaftswissenschaften, Volkswirtschaft, andere