Forced sale discount on property market – How to assess it?
•The basic problem in correctly defining forced sale values is the proper detection of the reasons for lower transaction prices.•It is possible to say that the condition of forced sale will lead the seller to earn less money than in the situation of a typical market sale.•There is the gap of tools d...
Gespeichert in:
Veröffentlicht in: | Land use policy 2018-11, Vol.78, p.104-115 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 115 |
---|---|
container_issue | |
container_start_page | 104 |
container_title | Land use policy |
container_volume | 78 |
creator | Renigier-Biłozor, Małgorzata Walacik, Marek Źróbek, Sabina d’Amato, Maurizio |
description | •The basic problem in correctly defining forced sale values is the proper detection of the reasons for lower transaction prices.•It is possible to say that the condition of forced sale will lead the seller to earn less money than in the situation of a typical market sale.•There is the gap of tools dedicated to determining reliable force sale value.•Real estate valuation with the use of AVM enables the determination of property value for forced sales at a satisfactory level of credibility.
The aim of the article is to reduce the gap in the lack of tools dedicated to determining forced sale value. It is focused on the development of a methodology that takes into account the procedures used in property valuation with the use of automated valuation methods based on rough set theory and fuzzy logic. The authors propose an alternative method serving as an alternative to individual/human valuation, which may not be objective and reliable for such purpose. The method gives more accurate results than hedonic models in the face of qualitatively and quantitatively ambiguous, imprecise and vague data, which is commonly found in the real estate market, especially regarding not typical/market sales. The methodology was verified on the basis of data collected on two property markets: city of Bari (Italy) and city of Olsztyn (Poland). The achieved results indicated that value regarding forced sale is about 22% lower in the case of Olsztyn when compared to average market value of the used sample, whereas in the case of Bari – about 45% lower. |
doi_str_mv | 10.1016/j.landusepol.2018.06.026 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2213876911</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S026483771830084X</els_id><sourcerecordid>2213876911</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-e318dd24a5fe909d2a4524e5228c28c63638a153486e0ab62ec721cc207f28a13</originalsourceid><addsrcrecordid>eNqFkM9KxDAQxoMouK6-Q8Bza_41yR5EdHFdYcGLnkNMp9Bam5qkyt58B9_QJzHLCh6FgYGZ-b6Z-SGEKSkpofKiK3s71FOE0fclI1SXRJaEyQM0o1rxolKVOESzXBGF5kodo5MYO0KIXFA2Q5crHxzUONoecN1G56chYT_gMfgRQtriVxteIOHvzy-89h84eWxjhBhxm65O0VFj-whnv3mOnla3j8t1sXm4u19ebwrHhUwFcKrrmglbNbAgi5pZUTEBFWPa5ZBccm1pxYWWQOyzZOAUo84xohqWO3yOzve--aq3CWIynZ_CkFcaxijXKj-zm9L7KRd8jAEaM4Y2n781lJgdLNOZP1hmB8sQaTKaLL3ZSyF_8d5CMNG1MGQybQCXTO3b_01-AEx-d4M</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2213876911</pqid></control><display><type>article</type><title>Forced sale discount on property market – How to assess it?</title><source>PAIS Index</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Renigier-Biłozor, Małgorzata ; Walacik, Marek ; Źróbek, Sabina ; d’Amato, Maurizio</creator><creatorcontrib>Renigier-Biłozor, Małgorzata ; Walacik, Marek ; Źróbek, Sabina ; d’Amato, Maurizio</creatorcontrib><description>•The basic problem in correctly defining forced sale values is the proper detection of the reasons for lower transaction prices.•It is possible to say that the condition of forced sale will lead the seller to earn less money than in the situation of a typical market sale.•There is the gap of tools dedicated to determining reliable force sale value.•Real estate valuation with the use of AVM enables the determination of property value for forced sales at a satisfactory level of credibility.
The aim of the article is to reduce the gap in the lack of tools dedicated to determining forced sale value. It is focused on the development of a methodology that takes into account the procedures used in property valuation with the use of automated valuation methods based on rough set theory and fuzzy logic. The authors propose an alternative method serving as an alternative to individual/human valuation, which may not be objective and reliable for such purpose. The method gives more accurate results than hedonic models in the face of qualitatively and quantitatively ambiguous, imprecise and vague data, which is commonly found in the real estate market, especially regarding not typical/market sales. The methodology was verified on the basis of data collected on two property markets: city of Bari (Italy) and city of Olsztyn (Poland). The achieved results indicated that value regarding forced sale is about 22% lower in the case of Olsztyn when compared to average market value of the used sample, whereas in the case of Bari – about 45% lower.</description><identifier>ISSN: 0264-8377</identifier><identifier>EISSN: 1873-5754</identifier><identifier>DOI: 10.1016/j.landusepol.2018.06.026</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>AVM ; Data analysis ; Data collection ; Forced sale value ; Fuzzy logic ; Fuzzy set theory ; Fuzzy sets ; Land use ; Market value ; Markets ; Property values ; Real estate ; Real estate valuation ; Rough set theory ; Sales ; Valuation ; Valued tolerance relation</subject><ispartof>Land use policy, 2018-11, Vol.78, p.104-115</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Nov 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-e318dd24a5fe909d2a4524e5228c28c63638a153486e0ab62ec721cc207f28a13</citedby><cites>FETCH-LOGICAL-c346t-e318dd24a5fe909d2a4524e5228c28c63638a153486e0ab62ec721cc207f28a13</cites><orcidid>0000-0001-9481-7262</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.landusepol.2018.06.026$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27853,27911,27912,45982</link.rule.ids></links><search><creatorcontrib>Renigier-Biłozor, Małgorzata</creatorcontrib><creatorcontrib>Walacik, Marek</creatorcontrib><creatorcontrib>Źróbek, Sabina</creatorcontrib><creatorcontrib>d’Amato, Maurizio</creatorcontrib><title>Forced sale discount on property market – How to assess it?</title><title>Land use policy</title><description>•The basic problem in correctly defining forced sale values is the proper detection of the reasons for lower transaction prices.•It is possible to say that the condition of forced sale will lead the seller to earn less money than in the situation of a typical market sale.•There is the gap of tools dedicated to determining reliable force sale value.•Real estate valuation with the use of AVM enables the determination of property value for forced sales at a satisfactory level of credibility.
The aim of the article is to reduce the gap in the lack of tools dedicated to determining forced sale value. It is focused on the development of a methodology that takes into account the procedures used in property valuation with the use of automated valuation methods based on rough set theory and fuzzy logic. The authors propose an alternative method serving as an alternative to individual/human valuation, which may not be objective and reliable for such purpose. The method gives more accurate results than hedonic models in the face of qualitatively and quantitatively ambiguous, imprecise and vague data, which is commonly found in the real estate market, especially regarding not typical/market sales. The methodology was verified on the basis of data collected on two property markets: city of Bari (Italy) and city of Olsztyn (Poland). The achieved results indicated that value regarding forced sale is about 22% lower in the case of Olsztyn when compared to average market value of the used sample, whereas in the case of Bari – about 45% lower.</description><subject>AVM</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Forced sale value</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>Land use</subject><subject>Market value</subject><subject>Markets</subject><subject>Property values</subject><subject>Real estate</subject><subject>Real estate valuation</subject><subject>Rough set theory</subject><subject>Sales</subject><subject>Valuation</subject><subject>Valued tolerance relation</subject><issn>0264-8377</issn><issn>1873-5754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkM9KxDAQxoMouK6-Q8Bza_41yR5EdHFdYcGLnkNMp9Bam5qkyt58B9_QJzHLCh6FgYGZ-b6Z-SGEKSkpofKiK3s71FOE0fclI1SXRJaEyQM0o1rxolKVOESzXBGF5kodo5MYO0KIXFA2Q5crHxzUONoecN1G56chYT_gMfgRQtriVxteIOHvzy-89h84eWxjhBhxm65O0VFj-whnv3mOnla3j8t1sXm4u19ebwrHhUwFcKrrmglbNbAgi5pZUTEBFWPa5ZBccm1pxYWWQOyzZOAUo84xohqWO3yOzve--aq3CWIynZ_CkFcaxijXKj-zm9L7KRd8jAEaM4Y2n781lJgdLNOZP1hmB8sQaTKaLL3ZSyF_8d5CMNG1MGQybQCXTO3b_01-AEx-d4M</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Renigier-Biłozor, Małgorzata</creator><creator>Walacik, Marek</creator><creator>Źróbek, Sabina</creator><creator>d’Amato, Maurizio</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-9481-7262</orcidid></search><sort><creationdate>201811</creationdate><title>Forced sale discount on property market – How to assess it?</title><author>Renigier-Biłozor, Małgorzata ; Walacik, Marek ; Źróbek, Sabina ; d’Amato, Maurizio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-e318dd24a5fe909d2a4524e5228c28c63638a153486e0ab62ec721cc207f28a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>AVM</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Forced sale value</topic><topic>Fuzzy logic</topic><topic>Fuzzy set theory</topic><topic>Fuzzy sets</topic><topic>Land use</topic><topic>Market value</topic><topic>Markets</topic><topic>Property values</topic><topic>Real estate</topic><topic>Real estate valuation</topic><topic>Rough set theory</topic><topic>Sales</topic><topic>Valuation</topic><topic>Valued tolerance relation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Renigier-Biłozor, Małgorzata</creatorcontrib><creatorcontrib>Walacik, Marek</creatorcontrib><creatorcontrib>Źróbek, Sabina</creatorcontrib><creatorcontrib>d’Amato, Maurizio</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Environment Abstracts</collection><jtitle>Land use policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Renigier-Biłozor, Małgorzata</au><au>Walacik, Marek</au><au>Źróbek, Sabina</au><au>d’Amato, Maurizio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forced sale discount on property market – How to assess it?</atitle><jtitle>Land use policy</jtitle><date>2018-11</date><risdate>2018</risdate><volume>78</volume><spage>104</spage><epage>115</epage><pages>104-115</pages><issn>0264-8377</issn><eissn>1873-5754</eissn><abstract>•The basic problem in correctly defining forced sale values is the proper detection of the reasons for lower transaction prices.•It is possible to say that the condition of forced sale will lead the seller to earn less money than in the situation of a typical market sale.•There is the gap of tools dedicated to determining reliable force sale value.•Real estate valuation with the use of AVM enables the determination of property value for forced sales at a satisfactory level of credibility.
The aim of the article is to reduce the gap in the lack of tools dedicated to determining forced sale value. It is focused on the development of a methodology that takes into account the procedures used in property valuation with the use of automated valuation methods based on rough set theory and fuzzy logic. The authors propose an alternative method serving as an alternative to individual/human valuation, which may not be objective and reliable for such purpose. The method gives more accurate results than hedonic models in the face of qualitatively and quantitatively ambiguous, imprecise and vague data, which is commonly found in the real estate market, especially regarding not typical/market sales. The methodology was verified on the basis of data collected on two property markets: city of Bari (Italy) and city of Olsztyn (Poland). The achieved results indicated that value regarding forced sale is about 22% lower in the case of Olsztyn when compared to average market value of the used sample, whereas in the case of Bari – about 45% lower.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.landusepol.2018.06.026</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-9481-7262</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0264-8377 |
ispartof | Land use policy, 2018-11, Vol.78, p.104-115 |
issn | 0264-8377 1873-5754 |
language | eng |
recordid | cdi_proquest_journals_2213876911 |
source | PAIS Index; ScienceDirect Journals (5 years ago - present) |
subjects | AVM Data analysis Data collection Forced sale value Fuzzy logic Fuzzy set theory Fuzzy sets Land use Market value Markets Property values Real estate Real estate valuation Rough set theory Sales Valuation Valued tolerance relation |
title | Forced sale discount on property market – How to assess it? |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T15%3A05%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Forced%20sale%20discount%20on%20property%20market%20%E2%80%93%20How%20to%20assess%20it?&rft.jtitle=Land%20use%20policy&rft.au=Renigier-Bi%C5%82ozor,%20Ma%C5%82gorzata&rft.date=2018-11&rft.volume=78&rft.spage=104&rft.epage=115&rft.pages=104-115&rft.issn=0264-8377&rft.eissn=1873-5754&rft_id=info:doi/10.1016/j.landusepol.2018.06.026&rft_dat=%3Cproquest_cross%3E2213876911%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2213876911&rft_id=info:pmid/&rft_els_id=S026483771830084X&rfr_iscdi=true |