2013
DOI: 10.1108/jpif-06-2013-0035
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Modeling of daily REIT returns and volatility

Abstract: PurposeThe purpose of this paper is to examine the US real estate investment trusts (REITs) for the 2000‐2012 period using GARCH models that include the day‐of‐the‐week effect and the stock‐market index as explanatory variables. This technique documents the return and volatility of equity, mortgage and hybrid REITs.Design/methodology/approachThe study starts with a CAPM model and continues with GARCH(1,1), TGARCH(1,1) and EGARCH(1,1) models for each of the REIT subcategories with and without the days of the we… Show more

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Cited by 14 publications
(8 citation statements)
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References 38 publications
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“…The parameter β estimates for the EGARCH (1, 1) model confirms that bad news generates the volatility of the WOWAX, S-Net, Europe and Pictet during the pre-GFC, GFC, and post-GFC periods. The results are similar to those of Cheung and Ng (1992), Koutmos (1992), Poon and Taylor (1992), and Asteriou and Begiazi (2013). Figure 3 reveals more information regarding the volatility of four water indices, four water markets and two water funds during the GFC period.…”
Section: Egarch (1 1) Modelsupporting
confidence: 74%
“…The parameter β estimates for the EGARCH (1, 1) model confirms that bad news generates the volatility of the WOWAX, S-Net, Europe and Pictet during the pre-GFC, GFC, and post-GFC periods. The results are similar to those of Cheung and Ng (1992), Koutmos (1992), Poon and Taylor (1992), and Asteriou and Begiazi (2013). Figure 3 reveals more information regarding the volatility of four water indices, four water markets and two water funds during the GFC period.…”
Section: Egarch (1 1) Modelsupporting
confidence: 74%
“…Many studies have tried to investigate the behavior of REIT performance. One of the most common scope ofstudies in REITs performance is comparing performance of one or some REITs companies within one jurisdiction (Akinsomi, Ong, Ibrahim, & Newell, 2016;Aro-gordon, 2015;Asteriou & Beigazi, 2013;Bene, Anderson, & Zumpano, 2009;Brown, 2000;Compton, Johnson, Kunkel, & Compton, 2006;Escobari & Jafarinejad, 2016;Hartzell, Kallberg, & Liu, 2008;Hartzell, Sun, & Titman, 2014;Ho & Tay, 2016;Huerta, Jackson, & Ngo, 2015;Larson, 2005;C. Lee, Chien, & Lin, 2012;Liow & Addae-dapaah, 2010;Lu, Chen, & Liao, 2014;Olanrele, Said, & Daud, 2014;Pellerin et al, 2013;Quek & Ong, 2008;San, Heng, & Pong, 2011;Yung, Li, & Jian, 2017), with USA market is the most studied so far, which is not surprising because USA REITs market is the mature one in the world.…”
Section: Reits Performance Risk and Volatilitymentioning
confidence: 99%
“…While a number of papers such as Devaney (2001), Stevenson (2002), Asteriou and Begiazi (2013) and Chang and Chen (2014) have examined REITs volatility linkages they have utilized univariate models. This paper extends the analysis of volatility by using a multivariate GARCH (M-GARCH) framework.…”
Section: Introductionmentioning
confidence: 99%