2015
DOI: 10.1007/s11146-015-9495-2
|View full text |Cite
|
Sign up to set email alerts
|

The Price Behavior of REITs Surrounding Extreme Market-Related Events

Abstract: We examine REIT behavior around extreme market-wide price occurrences. In general, we find that REITs that have higher levels of liquidity and that are larger in size tend to impound information more quickly and reverse more speedily after an extreme event. Also, we find that Equity REITs have stronger liquidity effects and Mortgage REITs have stronger size effects. Exante beta is also useful in explaining price behavior. For example, pre-betas are significantly positively related to turnover ratios; while pre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(2 citation statements)
references
References 34 publications
(36 reference statements)
0
2
0
Order By: Relevance
“…The annual firm data for these REITs were obtained for the period 1980 to 2016. The REIT and property types were gathered from the CRSP/Ziman real estate database (Glascock and Lu-Andrews [36]; Ling and Naranjo [37]; Shen [38]; Shen, Hui and Fan [39]; Shen, Hui and Fan [40]). The sample contained 523 REITs in total including 391 equity, 98 mortgage, and 34 hybrid REITs.…”
Section: Methodsmentioning
confidence: 99%
“…The annual firm data for these REITs were obtained for the period 1980 to 2016. The REIT and property types were gathered from the CRSP/Ziman real estate database (Glascock and Lu-Andrews [36]; Ling and Naranjo [37]; Shen [38]; Shen, Hui and Fan [39]; Shen, Hui and Fan [40]). The sample contained 523 REITs in total including 391 equity, 98 mortgage, and 34 hybrid REITs.…”
Section: Methodsmentioning
confidence: 99%
“…The Ziman database is widely used in REIT studies; seeRo and Ziobrowski (2011),Glascock and Lu- Andrews (2015) Ling and Naranjo (2015),Ling et al (2020),Shen (2021),Shen et al (2021a;2021b),. etc.13 FollowingBabenko et al (2019), we search keywords in each DEF 14A proxy statement (and 10-K filing), including clawback, claw back, claw-back, compensation recover, compensation recoup, recoup provision, recoup policy, recoup award, and recover award.14 The number of adopters (152) initial clawback adoptions is less than the number of adopters (167) in the panel data, because the cumulative abnormal returns requires at least 240 trading days before initial adoptions to estimate the market reactions to the announcements of clawback adoptions.…”
mentioning
confidence: 99%