Issues Relating to the Creation of a Central Database to Support Statistical Property Valuations

22 December 2021DOI: https://doi.org/10.33893/FER.20.4.86117

Author information:

Gabriella Grosz: Magyar Nemzeti Bank, Economic Analyst. E-mail:

Evelyn Herbert: Magyar Nemzeti Bank, Analyst. E-mail:

Gábor Izsák: Magyar Nemzeti Bank, Lawyer. E-mail:

Katinka Szász: Magyar Nemzeti Bank, Legal Referent. E-mail:

Abstract:

The valuation of real estate collateral is a long-established area of the lending process that is currently undergoing increasingly dynamic development and in which the use of statistical valuation methods is becoming more and more common instead of on-site valuations. The legal conditions for this have been created by amendments to European and national legislation in the past year, but for the method to be truly widely used and operational and to ensure the accuracy of the resulting valuations, access to detailed, accurate, up-to-date and regularly checked data on real estate must be also created. As the databases currently available for Hungarian real estate are very fragmented, in our study, we propose to create a central database that would provide a uniform, up-to-date set of data, by harmonising the existing separate databases. Such a database would help create a level playing field in the market and automate data transfer in a cost-effective, fast and reliable manner. This would greatly facilitate the uptake of statistical valuation methods, supporting the further spread of digitalisation, increasing banking competition, speeding up administration and reducing the cost of lending for all parties.

Cite as (APA):

Grosz, G., Herbert, E., Izsák, G., & Szász, K. (2021). Issues Relating to the Creation of a Central Database to Support Statistical Property Valuations. Financial and Economic Review, 20(4), 86–117. https://doi.org/10.33893/FER.20.4.86117

PDF download
The works on this site are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Column:

Study

Journal of Economic Literature (JEL) codes:

G21, G28, G32, G51, O33

Keywords:

automation, digitalisation, collateral valuation, mortgage lending, financial regulation, statistical valuation

References:

Aczél, Á. – Banai, Á. – Borsos, A. – Dancsik, B. (2016): Identifying the determinants of housing loan margins in the Hungarian banking system. Financial and Economic Review, 15(4): 5–44. https://en-hitelintezetiszemle.mnb.hu/letoltes/akos-aczel-adam-banai-andras-borsos-balint-dancsik.pdf

Béres, A.D. – Tringer, Zs. (2020): Ingatlanértékbecslés otthonról: a banki hatékonyságnövelés új fejezete (Property valuation “from home”: a new chapter in banking efficiency). Szakmai cikk (Special article), Magyar Nemzeti Bank. https://www.mnb.hu/letoltes/beres-alexandra-tringer-zsofia-ingatlanbecsles-otthonrol.pdf

Békés, G. – Horváth, Á. – Sápi, Z. (2016): Lakóingatlan-árak és települési különbségek (Differences between residential property prices and settlements). MT-DP – 2016/21, Magyar Tudományos Akadémia Közgazdaság- és Regionális Tudományi Kutatóközpont Közgazdaságtudományi Intézet (Institute of Economics, Centre for Economic and Regional Studies of the Hungarian Academy of Science), Budapest. http://www.econ.core.hu/file/download/mtdp/MTDP1621.pdf

Dippong, M. – Harnos, L. (2008): Speciális ingatlanok értékelése (Evaluation of Special Properties). Distance learning note, Nyugat-Magyarországi Egyetem (University of West Hungary), Faculty of Geoinformatics, Székesfehérvár. http://docplayer.hu/16122724-Specialis-ingatlanok-ertekelese.html. Downloaded: 26 October 2021.

EAA (2019): European Standards for Statistical Valuation Methods for Residential Properties 2nd edition. European AVM Alliance. https://www.europeanavmalliance.org/avm-standards.html?file=files/eaa/Downloads/EAA_Standards_2nd_Edition.pdf&amp%3Bamp%3Bcid=156. Downloaded: 30 April 2020.

Eurostat (2013): Handbook on Residential Property Prices Indices (RPPIs). https://doi.org/10.2785/34007

Freixas, X. – Laeven, L. – Peydró, J.-L. (2015): Systemic Risk, Crises, and Macroprudential Regulation, The MIT Press. https://doi.org/10.7551/mitpress/9780262028691.001.0001

Horváth, Á. – Imre, B. – Sápi, Z. (2016): The International Practice of Statistical Property Valuation Methods and the Possibilities of Introducing Automated Valuation Models in Hungary. Financial and Economic Review, 15(4): 45–64. https://en-hitelintezetiszemle.mnb.hu/letoltes/aron-horvath-blanka-imre-zoltan-sapi.pdf

IAAO (2018): Standard on Automated Valuation Models (AVMs). International Association of Assessing Officers. https://www.iaao.org/media/standards/AVM_STANDARD_2018.pdf. Downloaded: 13 April 2021.

MNB (2017): Financial savings of households based on micro- and macro statistical data. Magyar Nemzeti Bank. https://www.mnb.hu/letoltes/ha-ztarta-sok-eng.PDF

MNB (2019): Competitiveness Programme in 330 points. Magyar Nemzeti Bank. https://www.mnb.hu/letoltes/competitiveness-programme-in-330-points.pdf

MNB (2021a): Housing Market Report, May 2021. Magyar Nemzeti Bank. https://www.mnb.hu/letoltes/lakaspiaci-jelentes-2021-majus-en.pdf

MNB (2021b): Financial Stability Report, June 2021. Magyar Nemzeti Bank. https://www.mnb.hu/letoltes/financial-stability-report-2021-june.pdf

MSCI (2019): Private Real Estate: Valuation and Sale Price Comparison 2019. MSCI Research Report, June. https://www.msci.com/www/research-paper/private-real-estate-valuations/01032853837

RICS (2017): The Future of Valuations – The relevance of real estate valuations for institutional investors and banks – views from a European expert group. RICS Insight Paper 2017/11, Royal Institution of Chartered Surveyors. https://www.rics.org/globalassets/rics-website/media/knowledge/research/insights/future-of-valuations-insights-paper-rics.pdf. Downloaded: 27 April 2020.

Stan, L. (2015): De la idee la BIG – ANEVAR. Valoarea oriunde este ea, 2015(6): 14–17. https://www.anevar.ro/images/documente/revista-valoarea-oriunde-este-ea-nr-06.pdf. Downloaded: 6 October 2021.

Wolters, J. (2002): Property valuation and taxation in Denmark. The Danish Association of Chartered Surveyors, Copenhagen. http://www.andywightman.com/docs/danish_propertytax.pdf. Downloaded: 6 October 2021.