Abstract

In order to find the optical forecast model of REITs volatility, the paper uses the GARCH model, ARFIMA model and Markov switching model to analysis three REITs from the Hong Kongs Hang Seng market. Empirical results have shown that: Real volatility as the standard, the order of Predictive ability is that the Markov switching model, ARFIMA model, GARCH model, EGARCH, FIEGARCH asymmetric GARCH model; historical volatility as the standard, the order of the predictive ability is that the GARCH model, Markov switching model, ARFIMA model; to sum up, Markov switching model is the best forecast model for three Hong Kong REITs. This study provides effective information to the supervision of Hong Kong REITs and it is useful for development of China future REITs.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.