When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding
Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides insights into understanding how lenders’ investment behavior is shaped by various information in such a...
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description | Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides insights into understanding
how lenders’ investment behavior is shaped by various information
in such an emerging market. Using a data set from a large platform over 17 months, the authors find that lenders as a whole prefer loans secured by a borrower’s house to those secured by a mortgage, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for loans secured by a borrower’s house. A rise in housing prices is associated with quicker lending decisions, and this association is found to be stronger for loans secured by a borrower’s house. When stock market volatility is large, lenders tend to slow down their investments; such a tendency is attenuated for loans secured by a mortgage. The authors suggest that lender heterogeneity in responding to different collateral types should be incorporated into the platform’s design of an automatic transaction or a recommender system. Moreover, platform managers should consider economic conditions at the macro level when deploying their marketing strategy.
In lending-based real estate crowdfunding, borrowers are required to pledge their housing properties as collateral to secure the loans. This nascent practice differs from ordinary peer-to-peer lending in that lenders, to make sound investment decisions, need to process additional information other than basic loan attributes. We examine how lender behavior of investing in real-estate-secured loans is shaped by information that is particularly relevant in such an emerging market. We collect and analyze the data from a large lending-based real estate crowdfunding platform, where each loan is secured by either a mortgage (a mortgage-secured or MS loan) or a borrower’s own house (a house-secured or HS loan). Our analysis reveals that lender decisions of
how fast to invest
and
how much to invest
are influenced by both
on-platform
and
off-platform
information. For on-platform information, we find that lenders as a whole prefer HS loans to MS loans, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for HS loans as compared with their inexperienced counte |
doi_str_mv | 10.1287/isre.2019.0909 |
format | Article |
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how lenders’ investment behavior is shaped by various information
in such an emerging market. Using a data set from a large platform over 17 months, the authors find that lenders as a whole prefer loans secured by a borrower’s house to those secured by a mortgage, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for loans secured by a borrower’s house. A rise in housing prices is associated with quicker lending decisions, and this association is found to be stronger for loans secured by a borrower’s house. When stock market volatility is large, lenders tend to slow down their investments; such a tendency is attenuated for loans secured by a mortgage. The authors suggest that lender heterogeneity in responding to different collateral types should be incorporated into the platform’s design of an automatic transaction or a recommender system. Moreover, platform managers should consider economic conditions at the macro level when deploying their marketing strategy.
In lending-based real estate crowdfunding, borrowers are required to pledge their housing properties as collateral to secure the loans. This nascent practice differs from ordinary peer-to-peer lending in that lenders, to make sound investment decisions, need to process additional information other than basic loan attributes. We examine how lender behavior of investing in real-estate-secured loans is shaped by information that is particularly relevant in such an emerging market. We collect and analyze the data from a large lending-based real estate crowdfunding platform, where each loan is secured by either a mortgage (a mortgage-secured or MS loan) or a borrower’s own house (a house-secured or HS loan). Our analysis reveals that lender decisions of
how fast to invest
and
how much to invest
are influenced by both
on-platform
and
off-platform
information. For on-platform information, we find that lenders as a whole prefer HS loans to MS loans, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for HS loans as compared with their inexperienced counterparts. As to off-platform information, our results show that a rise in housing prices is associated with quicker investment decisions, and this association is found to be even stronger on HS loans. Further, when stock market volatility is large, lenders tend to slow down their investment behavior; however, we find such a tendency weaker on MS loans. This research contributes to the literature by establishing relationships between crowdfunding activities, housing prices and stock market performance. Our findings also provide implications for managers and platform designers who desire to stimulate and leverage the fundraising momentum.</description><identifier>ISSN: 1047-7047</identifier><identifier>EISSN: 1526-5536</identifier><identifier>DOI: 10.1287/isre.2019.0909</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>collateral ; Crowdfunding ; Decision analysis ; Dwellings ; Emerging markets ; Funding ; Housing ; Housing prices ; Investment ; Investments ; Lenders ; Loans ; P2P lending ; Pricing ; Real estate ; Real property ; Securities markets ; stock market ; Volatility</subject><ispartof>Information systems research, 2020-09, Vol.31 (3), p.715-730</ispartof><rights>Copyright Institute for Operations Research and the Management Sciences Sep 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-6df323bfc7a2a683ceb10920449fb1d8d2806440b0d88ccf64b89fa0de4dd8b63</citedby><cites>FETCH-LOGICAL-c368t-6df323bfc7a2a683ceb10920449fb1d8d2806440b0d88ccf64b89fa0de4dd8b63</cites><orcidid>0000-0003-0383-1216 ; 0000-0002-8115-6191 ; 0000-0003-1368-7967 ; 0000-0001-8087-3423</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/isre.2019.0909$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,776,780,3679,27901,27902,62589</link.rule.ids></links><search><creatorcontrib>Jiang, Yang</creatorcontrib><creatorcontrib>Ho, Yi-Chun (Chad)</creatorcontrib><creatorcontrib>Yan, Xiangbin</creatorcontrib><creatorcontrib>Tan, Yong</creatorcontrib><title>When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding</title><title>Information systems research</title><description>Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides insights into understanding
how lenders’ investment behavior is shaped by various information
in such an emerging market. Using a data set from a large platform over 17 months, the authors find that lenders as a whole prefer loans secured by a borrower’s house to those secured by a mortgage, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for loans secured by a borrower’s house. A rise in housing prices is associated with quicker lending decisions, and this association is found to be stronger for loans secured by a borrower’s house. When stock market volatility is large, lenders tend to slow down their investments; such a tendency is attenuated for loans secured by a mortgage. The authors suggest that lender heterogeneity in responding to different collateral types should be incorporated into the platform’s design of an automatic transaction or a recommender system. Moreover, platform managers should consider economic conditions at the macro level when deploying their marketing strategy.
In lending-based real estate crowdfunding, borrowers are required to pledge their housing properties as collateral to secure the loans. This nascent practice differs from ordinary peer-to-peer lending in that lenders, to make sound investment decisions, need to process additional information other than basic loan attributes. We examine how lender behavior of investing in real-estate-secured loans is shaped by information that is particularly relevant in such an emerging market. We collect and analyze the data from a large lending-based real estate crowdfunding platform, where each loan is secured by either a mortgage (a mortgage-secured or MS loan) or a borrower’s own house (a house-secured or HS loan). Our analysis reveals that lender decisions of
how fast to invest
and
how much to invest
are influenced by both
on-platform
and
off-platform
information. For on-platform information, we find that lenders as a whole prefer HS loans to MS loans, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for HS loans as compared with their inexperienced counterparts. As to off-platform information, our results show that a rise in housing prices is associated with quicker investment decisions, and this association is found to be even stronger on HS loans. Further, when stock market volatility is large, lenders tend to slow down their investment behavior; however, we find such a tendency weaker on MS loans. This research contributes to the literature by establishing relationships between crowdfunding activities, housing prices and stock market performance. Our findings also provide implications for managers and platform designers who desire to stimulate and leverage the fundraising momentum.</description><subject>collateral</subject><subject>Crowdfunding</subject><subject>Decision analysis</subject><subject>Dwellings</subject><subject>Emerging markets</subject><subject>Funding</subject><subject>Housing</subject><subject>Housing prices</subject><subject>Investment</subject><subject>Investments</subject><subject>Lenders</subject><subject>Loans</subject><subject>P2P lending</subject><subject>Pricing</subject><subject>Real estate</subject><subject>Real property</subject><subject>Securities markets</subject><subject>stock market</subject><subject>Volatility</subject><issn>1047-7047</issn><issn>1526-5536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkMFLwzAUh4soOKdXzwHBW-drkqaptzmnDiYDUTyGtHmZGVuqTafzv7e1Ct68vDz4fb8kfFF0msAooTK7cKHGEYUkH0EO-V40SFIq4jRlYr_dgWdx1o7D6CiEFQAwlrNBVD2_oCcLv3YeyRy9cX5J7hGbQB5Qr8k0NLrBSzLd6Y3zXTjz7xiaDfqGXGPpgqt8IM7_luMrHdD8LZNJXX0Yu_2Oj6MDq9cBT37OYfR0M32c3MXzxe1sMp7HJROyiYWxjLLClpmmWkhWYpFAToHz3BaJkYZKEJxDAUbKsrSCFzK3GgxyY2Qh2DA66-99rau3bfthtaq2tW-fVJRzkVGANGup855a6jUq58vKN7hrlnobglJjwTJKBRe8BUc9WNZVaD1b9Vq7ja4_VQKqs686-6qzrzr7bSHuC87bqt6E__gvIbSHRg</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Jiang, Yang</creator><creator>Ho, Yi-Chun (Chad)</creator><creator>Yan, Xiangbin</creator><creator>Tan, Yong</creator><general>INFORMS</general><general>Institute for Operations Research and the Management Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><orcidid>https://orcid.org/0000-0003-0383-1216</orcidid><orcidid>https://orcid.org/0000-0002-8115-6191</orcidid><orcidid>https://orcid.org/0000-0003-1368-7967</orcidid><orcidid>https://orcid.org/0000-0001-8087-3423</orcidid></search><sort><creationdate>20200901</creationdate><title>When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding</title><author>Jiang, Yang ; Ho, Yi-Chun (Chad) ; Yan, Xiangbin ; Tan, Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-6df323bfc7a2a683ceb10920449fb1d8d2806440b0d88ccf64b89fa0de4dd8b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>collateral</topic><topic>Crowdfunding</topic><topic>Decision analysis</topic><topic>Dwellings</topic><topic>Emerging markets</topic><topic>Funding</topic><topic>Housing</topic><topic>Housing prices</topic><topic>Investment</topic><topic>Investments</topic><topic>Lenders</topic><topic>Loans</topic><topic>P2P lending</topic><topic>Pricing</topic><topic>Real estate</topic><topic>Real property</topic><topic>Securities markets</topic><topic>stock market</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Yang</creatorcontrib><creatorcontrib>Ho, Yi-Chun (Chad)</creatorcontrib><creatorcontrib>Yan, Xiangbin</creatorcontrib><creatorcontrib>Tan, Yong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Information systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Yang</au><au>Ho, Yi-Chun (Chad)</au><au>Yan, Xiangbin</au><au>Tan, Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding</atitle><jtitle>Information systems research</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>31</volume><issue>3</issue><spage>715</spage><epage>730</epage><pages>715-730</pages><issn>1047-7047</issn><eissn>1526-5536</eissn><abstract>Lending-based real estate crowdfunding, which involves the use of real estate to secure loans, has emerged as a promising alternative with lower risk than peer-to-peer lending. This study provides insights into understanding
how lenders’ investment behavior is shaped by various information
in such an emerging market. Using a data set from a large platform over 17 months, the authors find that lenders as a whole prefer loans secured by a borrower’s house to those secured by a mortgage, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for loans secured by a borrower’s house. A rise in housing prices is associated with quicker lending decisions, and this association is found to be stronger for loans secured by a borrower’s house. When stock market volatility is large, lenders tend to slow down their investments; such a tendency is attenuated for loans secured by a mortgage. The authors suggest that lender heterogeneity in responding to different collateral types should be incorporated into the platform’s design of an automatic transaction or a recommender system. Moreover, platform managers should consider economic conditions at the macro level when deploying their marketing strategy.
In lending-based real estate crowdfunding, borrowers are required to pledge their housing properties as collateral to secure the loans. This nascent practice differs from ordinary peer-to-peer lending in that lenders, to make sound investment decisions, need to process additional information other than basic loan attributes. We examine how lender behavior of investing in real-estate-secured loans is shaped by information that is particularly relevant in such an emerging market. We collect and analyze the data from a large lending-based real estate crowdfunding platform, where each loan is secured by either a mortgage (a mortgage-secured or MS loan) or a borrower’s own house (a house-secured or HS loan). Our analysis reveals that lender decisions of
how fast to invest
and
how much to invest
are influenced by both
on-platform
and
off-platform
information. For on-platform information, we find that lenders as a whole prefer HS loans to MS loans, as reflected in quicker and larger lending transactions. Experienced lenders tend to invest more aggressively, in both time and amount, but exhibit a weaker preference for HS loans as compared with their inexperienced counterparts. As to off-platform information, our results show that a rise in housing prices is associated with quicker investment decisions, and this association is found to be even stronger on HS loans. Further, when stock market volatility is large, lenders tend to slow down their investment behavior; however, we find such a tendency weaker on MS loans. This research contributes to the literature by establishing relationships between crowdfunding activities, housing prices and stock market performance. Our findings also provide implications for managers and platform designers who desire to stimulate and leverage the fundraising momentum.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/isre.2019.0909</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-0383-1216</orcidid><orcidid>https://orcid.org/0000-0002-8115-6191</orcidid><orcidid>https://orcid.org/0000-0003-1368-7967</orcidid><orcidid>https://orcid.org/0000-0001-8087-3423</orcidid></addata></record> |
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language | eng |
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source | INFORMS PubsOnLine |
subjects | collateral Crowdfunding Decision analysis Dwellings Emerging markets Funding Housing Housing prices Investment Investments Lenders Loans P2P lending Pricing Real estate Real property Securities markets stock market Volatility |
title | When Online Lending Meets Real Estate: Examining Investment Decisions in Lending-Based Real Estate Crowdfunding |
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