Estimation of real estate asset pricing models

Vista sencilla de ítem
dc.contributor.advisorZuluaga Díaz, Francisco Ivánspa
dc.contributor.authorArias Arbeláez, Felipe Alonso
dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.creator.degreeEconomistaspa
dc.creator.emailfariasa@eafit.edu.cospa
dc.date.accessioned2018-06-01T02:29:09Z
dc.date.available2018-06-01T02:29:09Z
dc.date.issued2016
dc.description.abstractIn this project we aim to develop 4 different methods in order to estimate the real market price of 380 properties owned by Midtown Realty Group in Miami, Florida -- We used the ordinary least squares, generalized method of moments, artificial neural networks and fuzzy inference systems -- The comparison between the 4 models was made using the root mean squared errors (RMSE) with an interesting result showing that the best method to estimate housing price given our data set is the artificial neural network using the correct network architecture -- Some further work is proposed in order to make more comparison between the models and dene the best model for housing pricespa
dc.identifier.local330.015195CD A696E
dc.identifier.urihttp://hdl.handle.net/10784/12335
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Economía y Finanzas. Departamento de Economía.spa
dc.publisher.programEconomíaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAcceso abiertospa
dc.subjectMétodo generalizado de momentosspa
dc.subject.ddcReal estatespa
dc.subject.ddcEstimationspa
dc.subject.ddcEconometricsspa
dc.subject.keywordHousing marketspa
dc.subject.keywordLeast squaresspa
dc.subject.keywordEconometric modelsspa
dc.subject.keywordPrice indexesspa
dc.subject.lembMERCADO DE LA VIVIENDAspa
dc.subject.lembMÍNIMOS CUADRADOSspa
dc.subject.lembMODELOS ECONOMÉTRICOSspa
dc.subject.lembÍNDICE DE PRECIOSspa
dc.titleEstimation of real estate asset pricing modelsspa
dc.typebachelorThesiseng
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.type.hasVersionacceptedVersioneng
dc.type.localTrabajo de gradospa

Archivos

Bloque original
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
FelipeAlonso_AriasArbelaez_FranciscoIvan_ZuluagaDiaz_2016.pdf
Tamaño:
452.55 KB
Formato:
Adobe Portable Document Format
Descripción:
Trabajo de grado
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Economía (trabajo de grado)