Modeling the time varying volatility of housing returns: Further evidence from the U.S. Metropolitan condominium markets
Journal article
Authors | Apergis, Nicholas and Payne, James |
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Abstract | This study extends the literature on modeling the volatility of housing returns to the case of condominium returns for five major U.S. metropolitan areas (Boston, Chicago, Los Angeles, New York, and San Francisco). Through the estimation of ARMA models for the respective condominium returns, we find volatility clustering of the residuals. The results from an ARMA-TGARCH-M model reveal the absence of asymmetry in the conditional variance. Dummy variables associated with the housing market collapse unique to each metropolitan area were statistically insignificant in the conditional variance equation, but negative and statistically significant in the mean equation. Condominium markets in Los Angeles and San Francisco exhibit the greatest persistence to volatility shocks. |
Keywords | U.S. metropolitan areas; condominium returns; time-varying volatility; GARCH models |
Year | 2019 |
Journal | Review of Financial Economics |
Publisher | Wiley |
ISSN | 10583300 |
Digital Object Identifier (DOI) | https://doi.org/10.1002/rfe.1063 |
Web address (URL) | http://hdl.handle.net/10545/623785 |
http://creativecommons.org/publicdomain/zero/1.0/ | |
hdl:10545/623785 | |
Publication dates | 22 Apr 2019 |
Publication process dates | |
Deposited | 24 May 2019, 15:33 |
Accepted | 24 Mar 2019 |
Rights | CC0 1.0 Universal |
Contributors | University of Derby and University of Texas, El Paso |
File | |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/92310/modeling-the-time-varying-volatility-of-housing-returns-further-evidence-from-the-u-s-metropolitan-condominium-markets
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