Using Government Data To Predict The Price And Returns Of Timber Real Estate Investment TrustsUsing Government Data To Predict The Price And Returns Of Timber Real Estate Investment Trusts

Loading...
Thumbnail Image
Degree type
Graduate group
Discipline
Subject
real estate
stocks
Business
Real Estate
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Portmann, Johann Marcos
Contributor
Abstract

Timber REITs are an understudied asset class with many direct drivers of value not seen in other REITs. With only a few Timber REITs listed on the NYSE, the idiosyncrasies between each stock means that it is difficult to draw conclusions at a non-stock-specific levels. Unlike other types of REITs, it may be feasible to predict value-metrics for Timber REITs based on readily available historical government data. This data can predict the behavior of the REITs’ stock movements without accounting for market conditions but is not useful when using an excess return model based on a market-benchmark approach. However, the selection of an appropriate benchmark for Timber REITs may not be clear-cut.

Advisor
Maisy Wong
Date of degree
2020-05-01
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation