IDEAS home Printed from https://ideas.repec.org/p/lre/wpaper/lares_2018_paper_23-heinrich-just-wiersma.html
   My bibliography  Save this paper

La Aplicación del Análisis Clúster en los Mercados Inmobiliarios

Author

Listed:
  • Simon Wiersma
  • Dr. Michael Heinrich
  • Prof. Dr. Tobias Just

Abstract

La política monetaria expansiva en los Estados Unidos y Europa condujo a la inflación de los precios de los activos convencionales. En la búsqueda de activos con rendimientos que compensen por el ambiente de bajas tasas de interés, muchos inversores cambian su enfoque hacia los bienes raíces. Económicamente, Alemania es el país más poderoso de Europa y se considera un puerto seguro para las inversiones. Simultáneamente, los bienes inmuebles alemanes son asequibles por comparación europea y, por lo tanto, atraen a más y más inversionistas nacionales y extranjeros. Entre otros, hay una característica distinta sobre el mercado inmobiliario alemán: No es monocéntrico, como los mercados en Francia con París y en el Reino Unido con Londres. La estructura policéntrica del mercado inmobiliario alemán es resultado de la división del país en el siglo XX y de la organización federal del país. Este último asegura la existencia de varios centros económicos en todo el país. Existe un esquema(el llamado “ABCD- esquema” de bulwiengesa) comúnmente aplicado en Alemania para desglosar yclasificar el mercado inmobiliario de Alemania. Basado exclusivamente en el tamaño del mercado y la liquidez, resulta inadecuado cuando se trata de identificar oportunidades y riesgos en tiempos de política monetaria no convencional y aumento de los precios. Presentamos un nuevo enfoque para la clasificación del mercado que proporciona comprensión sobre el grado de segmentación del mercado alemán y ayuda a los inversores nacionales y extranjeros a evaluar mejor las oportunidades y los riesgos. Según nuestro consentimiento, no existen estudios previos en Alemania que usen el análisis de clúster convencional para la gestión de inversiones inmobiliarias y la gestión de carteras.

Suggested Citation

  • Simon Wiersma & Dr. Michael Heinrich & Prof. Dr. Tobias Just, 2018. "La Aplicación del Análisis Clúster en los Mercados Inmobiliarios," LARES lares_2018_paper_23-heinr, Latin American Real Estate Society (LARES).
  • Handle: RePEc:lre:wpaper:lares_2018_paper_23-heinrich-just-wiersma
    as

    Download full text from publisher

    File URL: https://lares.architexturez.net/doc/lares-2018-paper-23-heinrich-just-wiersma
    Download Restriction: no

    File URL: https://lares.architexturez.net/system/files/23%20-%20Heinrich%20%2B%20Just%20%2B%20Wiersma.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heinrich, Michael & Just, Tobias, . "Wie heterogen sind deutsche Städte? Zur Segmentierung deutscher Wohnimmobilienmärkte," Beiträge zur Immobilienwirtschaft, University of Regensburg, Department of Economics, number 13.
    2. William N. Goetzmann & Susan M. Wachter, 1995. "Clustering Methods for Real Estate Portfolios," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 23(3), pages 271-310, September.
    3. Douglas Steinley & Michael Brusco, 2008. "Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures," Psychometrika, Springer;The Psychometric Society, vol. 73(1), pages 125-144, March.
    4. Douglas Steinley & Michael J. Brusco, 2007. "Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques," Journal of Classification, Springer;The Classification Society, vol. 24(1), pages 99-121, June.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Jerzy Korzeniewski, 2016. "New Method Of Variable Selection For Binary Data Cluster Analysis," Statistics in Transition New Series, Polish Statistical Association, vol. 17(2), pages 295-304, June.
    2. Gehad Ismail Sayed & Ashraf Darwish & Aboul Ella Hassanien, 2020. "Binary Whale Optimization Algorithm and Binary Moth Flame Optimization with Clustering Algorithms for Clinical Breast Cancer Diagnoses," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 66-96, April.
    3. Jerzy Korzeniewski, 2016. "New Method Of Variable Selection For Binary Data Cluster Analysis," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 295-304, June.
    4. Ricardo Fraiman & Badih Ghattas & Marcela Svarc, 2013. "Interpretable clustering using unsupervised binary trees," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(2), pages 125-145, June.
    5. Faicel Chamroukhi, 2016. "Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 374-411, October.
    6. Catherine Jackson, 2002. "Classifying Local Retail Property Markets on the Basis of Rental Growth Rates," Urban Studies, Urban Studies Journal Limited, vol. 39(8), pages 1417-1438, July.
    7. Philip McCann & Stephen Lee, 2005. "The Implications for Regional Investment of Diversification Strategies in Commercial Real Estate Portfolios," ERSA conference papers ersa05p473, European Regional Science Association.
    8. Darren Hayunga & R. Pace, 2010. "Spatial Statistics Applied to Commercial Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 103-125, August.
    9. Aurora Torrente & Juan Romo, 2021. "Initializing k-means Clustering by Bootstrap and Data Depth," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 232-256, July.
    10. Jiang, Yawen & Jia, Caiyan & Yu, Jian, 2013. "An efficient community detection method based on rank centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2182-2194.
    11. J. Fernando Vera & Rodrigo Macías, 2021. "On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 489-513, June.
    12. Nathan Cunningham & Jim E. Griffin & David L. Wild, 2020. "ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 463-484, June.
    13. Pacheco, Joaquín & Casado, Silvia & Porras, Santiago, 2013. "Exact methods for variable selection in principal component analysis: Guide functions and pre-selection," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 95-111.
    14. Gianluigi Migliavacca & Marco Rossi & Dario Siface & Matteo Marzoli & Hakan Ergun & Raúl Rodríguez-Sánchez & Maxime Hanot & Guillaume Leclerq & Nuno Amaro & Aleksandr Egorov & Jawana Gabrielski & Björ, 2021. "The Innovative FlexPlan Grid-Planning Methodology: How Storage and Flexible Resources Could Help in De-Bottlenecking the European System," Energies, MDPI, vol. 14(4), pages 1-28, February.
    15. Michael Brusco & Douglas Steinley, 2015. "Affinity Propagation and Uncapacitated Facility Location Problems," Journal of Classification, Springer;The Classification Society, vol. 32(3), pages 443-480, October.
    16. Gang-Zhi Fan & Seow Eng Ong & Hian Chye Koh, 2006. "Determinants of House Price: A Decision Tree Approach," Urban Studies, Urban Studies Journal Limited, vol. 43(12), pages 2301-2315, November.
    17. David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
    18. Brett Day & Ian Bateman & Iain Lake, 2007. "Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 211-232, May.
    19. Dirk Depril & Iven Mechelen & Tom Wilderjans, 2012. "Lowdimensional Additive Overlapping Clustering," Journal of Classification, Springer;The Classification Society, vol. 29(3), pages 297-320, October.
    20. Monsuru Adepeju & Samuel Langton & Jon Bannister, 2021. "Anchored k-medoids: a novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 655-680, November.

    More about this item

    Keywords

    Análisis Clúster; Clasificación; Classification; Cluster Analysis; Gestión de las carteras; Portfolio Management; Real Estate Market Segmentation; Segmentación del Mercado Inmobiliario;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    Statistics

    Access and download statistics

    Corrections

    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:lre:wpaper:lares_2018_paper_23-heinrich-just-wiersma. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/laresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.