TY - JOUR
AU - Ahn, Kwangwon
AU - Jang, Hanwool
AU - Kim, Jinu
AU - Ryu, Inug
PY - 2023
DA - November
TI - COVID-19 and REITs crash: predictability and market conditions
JO - Computational Economics
DO - https://doi.org/10.1007/s10614-023-10431-1
AB - This study examines the applicability of the log-periodic power law (LPPL) model for the real estate investment trust (REIT) market in the early stages of the coronavirus disease 2019 (COVID-19) pandemic. Our results indicate that unlike in the 2008 global financial crisis, the market conditions were unsuitable for applying LPPL for predicting the COVID-19-induced critical time in the REIT market. Before the pandemic, investors’ herding behavior was extremely weak, and market efficiency was improving, indicating a low probability of the formation of endogenous bubbles. Thus, policymakers should use this bubble-based model while carefully considering market conditions, including investors’ herding behavior and market efficiency. For this purpose, the power law exponent and Hurst exponent can be used to gauge market conditions along with comprehensive market information regarding the appropriateness of applying the LPPL model.
PB - Springer Nature
UR - https://researchonline.gcu.ac.uk/en/publications/bcaadd7d-fe88-47ca-bf16-3df266fea99c
KW - Coronavirus (COVID-19)
ER