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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Land use policy 2018-11, Vol.78, p.104-115
Hauptverfasser: Renigier-Biłozor, Małgorzata, Walacik, Marek, Źróbek, Sabina, d’Amato, Maurizio
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