TY - JOUR
T1 - Testing Calendar Effects of International Equity and Real Estate Markets
AU - Hui, Eddie C. M.
AU - Chan, Ka Kwan Kevin
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2018/1/1
Y1 - 2018/1/1
N2 - There are a lot of previous studies on calendar effects. However, most of them use traditional methods like regression. Hui et al. Habitat International 48, 38–45, (2015b) incorporated Shiryaev-Zhou index with logistic regression to study the Halloween and January effects of eight securitized real estate markets, but they fixed the moving-window size to be 130 days. How the change in moving-window size affects the calendar effects cannot be seen. In this study, we also apply the Shiryaev-Zhou index, but we allow the moving-window size to vary. Furthermore, we incorporated Shiryaev-Zhou index with analysis of mean (ANOM) and logistic regression to examine calendar effects of general equity and securitized real estate indices of Hong Kong, Japan, US, UK, France and Germany during the period 1996 – 2014. The results show that our new methods can detect additional channels of significant calendar effects of which normal methods fail to show. Furthermore, the general equity indices show significant Halloween and January effects. However, for the securitized real estate indices, the Halloween and January effects are less significant or even go into reverse in some cases. This study has two main implications. Firstly, investors can formulate a better trading strategy to earn more profits. Secondly, trends and phenomena found in equity markets may not be applicable to real estate markets, so investment rules on equity markets may not work on real estate markets. © 2016, Springer Science+Business Media New York.
AB - There are a lot of previous studies on calendar effects. However, most of them use traditional methods like regression. Hui et al. Habitat International 48, 38–45, (2015b) incorporated Shiryaev-Zhou index with logistic regression to study the Halloween and January effects of eight securitized real estate markets, but they fixed the moving-window size to be 130 days. How the change in moving-window size affects the calendar effects cannot be seen. In this study, we also apply the Shiryaev-Zhou index, but we allow the moving-window size to vary. Furthermore, we incorporated Shiryaev-Zhou index with analysis of mean (ANOM) and logistic regression to examine calendar effects of general equity and securitized real estate indices of Hong Kong, Japan, US, UK, France and Germany during the period 1996 – 2014. The results show that our new methods can detect additional channels of significant calendar effects of which normal methods fail to show. Furthermore, the general equity indices show significant Halloween and January effects. However, for the securitized real estate indices, the Halloween and January effects are less significant or even go into reverse in some cases. This study has two main implications. Firstly, investors can formulate a better trading strategy to earn more profits. Secondly, trends and phenomena found in equity markets may not be applicable to real estate markets, so investment rules on equity markets may not work on real estate markets. © 2016, Springer Science+Business Media New York.
KW - Halloween effect
KW - January effect
KW - Moving-window size
KW - Securitized real estate index
KW - Shiryaev-Zhou index
UR - https://www.scopus.com/pages/publications/84969821593
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84969821593&origin=recordpage
U2 - 10.1007/s11146-016-9564-1
DO - 10.1007/s11146-016-9564-1
M3 - RGC 21 - Publication in refereed journal
SN - 0895-5638
VL - 56
SP - 140
EP - 158
JO - Journal of Real Estate Finance and Economics
JF - Journal of Real Estate Finance and Economics
IS - 1
ER -