Agglomeration Risk in Retail Shopping Centers
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Eppli, Mark J. | - |
| dc.contributor.author | Cho, Hoon | - |
| dc.contributor.author | Shilling, James D. | - |
| dc.date.accessioned | 2008-11-28T02:21:25Z | - |
| dc.date.available | 2008-11-28T02:21:25Z | - |
| dc.date.issued | 2008-11 | - |
| dc.identifier.citation | KAIST Business School Working Paper Series KBS-WP-2008-014 | en |
| dc.identifier.uri | http://www.ssrn.com/link/KAIST-Business-School.html | - |
| dc.identifier.uri | http://ssrn.com/abstract=1297161 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/7922 | - |
| dc.description.abstract | The present study is an attempt to quantify the agglomeration risk in retail shopping centers. We accept that consumers are attracted to a shopping center in proportion to the mass of the anchor tenant. Nonetheless we feel it important to allow this attraction to be stochastic with its time varying nature governed by a geometric Brownian motion. We then proceed to estimate the underlying stochastic correlation between the anchor and non-anchor tenants at a shopping center using a panel database of US regional and super-regional shopping centers. We conclude that retail agglomeration risks in retail shopping centers are significant, too significant to be ignored. | en |
| dc.language.iso | en_US | en |
| dc.publisher | The Social Science Research Network(SSRN) | en |
| dc.subject | agglomeration | en |
| dc.subject | risk | en |
| dc.subject | retail shopping centers | en |
| dc.title | Agglomeration Risk in Retail Shopping Centers | en |
| dc.type | Article | en |
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