Including More Information Content to Enhance the Value at Risk Estimation for Real Estate Investment Trusts

Preliminary and Incomplete Deviations between Stock Price and Fundamental Value for Real Estate Investment Trusts

We document that real estate investment trust (REIT) stock prices deviate from net asset values (NAV), as measured by Green Street Advisors, a buy-side research firm. Using REIT data since 1990, we find large positive excess returns to a strategy of buying stocks that trade at a discount to NAV, and shorting stocks trading at a premium to NAV. Estimated alphas are between 1.2% and 1.8% per mont...

CROSS LISTING OF REAL ESTATE INVESTMENT TRUSTS (REITs)

Comments Welcome Insider Ownership and Corporate Value: Evidences from Real Estate Investment Trusts

Real estate investment trusts (REITs) provides us a unique laboratory to study the relation between insider ownership and ̄rm value, since REITs have to satisfy special regulations which render alternative mechanisms to control agency problems ine®ective. After controlling for unobserved ̄rm heterogeneity, we still ̄nd a signi ̄cant nonlinear relation between REIT insider ownership and Tobin's Q...

Information Processing and Stock Market Volatility - Evidence from Real Estate Investment Trusts

This study proposes novel measurements of investor psychology utilizing Big Data and reveals the impact of different measures on asset price volatility. We construct a news sentiment measure based on news articles reflecting information supply. News content is transformed into quantitative data utilizing sentiment analysis. We further investigate a metric for investor attention based on search ...

Cost Improvements, Returns to Scale, and Cost Inefficiencies for Real Estate Investment Trusts*

This paper extends the existing research on real estate investment trust (REIT) operating efficiencies. We estimate stochastic-frontier, panel-data models specifying a translog cost function. The specified model updates the cost frontier with new information as it becomes available over time. The model can identify frontier cost improvements, returns to scale, and cost inefficiencies over time....