2014
DOI: 10.1080/10835547.2014.12091381
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Is the Response of REIT Returns to Monetary Policy Asymmetric?

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Cited by 18 publications
(5 citation statements)
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“…In the US, we find the borrowings channel to be more dominant. A surprise rate hike (cut) reduces (increases) the US REIT returns and these results are in line with evidence from Bredin et al (2010) and Chou and Chen (2014) of a negative relationship between conventional US monetary policy and REIT returns. A higher (lower) policy rate has corresponding effects on the cost of borrowing, and, consequently, it negatively impacts REIT returns.…”
Section: Dynamic Impact Of Unconventional Monetary Policysupporting
confidence: 86%
See 1 more Smart Citation
“…In the US, we find the borrowings channel to be more dominant. A surprise rate hike (cut) reduces (increases) the US REIT returns and these results are in line with evidence from Bredin et al (2010) and Chou and Chen (2014) of a negative relationship between conventional US monetary policy and REIT returns. A higher (lower) policy rate has corresponding effects on the cost of borrowing, and, consequently, it negatively impacts REIT returns.…”
Section: Dynamic Impact Of Unconventional Monetary Policysupporting
confidence: 86%
“…Growth in the international REIT market and trading of REITs follows institutional changes in the 1990s which involved changes to the regulatory framework which allowed the use of internal advisors or self-managed REITs which made REIT companies more operations-oriented. The behavior of REIT stocks is more like general stocks Chan et al (2005) however because their value is derived from the underlying real estate, monetary policy surprises which affect rental incomes of real estate companies also affect REIT prices, Chou and Chen (2014).…”
Section: Introductionmentioning
confidence: 99%
“…We also consider the spread of the credit rate. Chou and Chen (2014) consider both M2 and the federal funds rate while including the call money rate. Bredin et al (2007) consider both federal funds futures and the S&P stock price index.…”
Section: Empirical Modelmentioning
confidence: 99%
“…In this regard, our hypothesis is that the reaction of housing prices is likely to be stronger in periods of high sentiment (upper quantiles), compared to that under low sentiment (lower quantiles). Intuitively, borrowing from the stock market literature (see for example, De Long et al, (1990), and Lee et al, (1991)), the build-up of optimism when sentiment is on the rise leads to an extended period of market overvaluation (due overestimation of the size of rental growth or 1 In this regard the most important studies are that of Baffoe-Bonnie (1998), Fratantoni andSchuh (2003), Del Negro andOtrok (2007), Iacoviello and Minetti (2008), Jarocinski andSmets (2008), Vargas-Silva (2008), Beltratti and Morana (2010), Demary (2010), Chang et al, (2011), Moench and Ng (2011), Musso et al, (2011), Bjørnland and Jacobsen (2013, Chou and Chen (2014), Jordà et al, (2015). 2 Note that, our decision to use the QSVAR model over Markov-switching or smooth transition approaches is motivated out of the advantages the QSVAR possesses over these standard nonlinear models in terms of ex ante classification of different regimes and specification of parametric transition function respectively.…”
Section: Introductionmentioning
confidence: 99%