Does machine learning prediction dampen the information asymmetry for non-local investors?

Does machine learning prediction dampen the information asymmetry for non-local investors?

In this study, we examine the prediction accuracy of machine learning methods to estimate commercial real estate transaction prices. Using machine learning methods, including Random Forest (RF), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and Deep Neural Networks (DNN), we estima...

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Bibliographic Details
Main Authors: Jinwoo Jung, Jihwan Kim, Changha Jin
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2022-11-01
Series:International Journal of Strategic Property Management
Subjects:
machine learning
office price
commercial real estate
prediction accuracy
information asymmetry
non-local investors
Online Access:https://aviation.vgtu.lt/index.php/IJSPM/article/view/17590

Internet

https://aviation.vgtu.lt/index.php/IJSPM/article/view/17590

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