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Modelling Returns i...
Modelling Returns in US Housing Prices-You're the One for Me, Fat Tails
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- Kiss, Tamás, 1988- (författare)
- Örebro universitet,Handelshögskolan vid Örebro Universitet,Division of Economics, School of Business, Örebro University, Örebro, Sweden
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- Nguyen, Hoang, 1989- (författare)
- Örebro universitet,Handelshögskolan vid Örebro Universitet,2 Division of Statistics, School of Business, Örebro University, Örebro, Sweden
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- Österholm, Pär, 1974- (författare)
- Örebro universitet,Handelshögskolan vid Örebro Universitet,Division of Economics, School of Business, Örebro University, Örebro, Sweden; National Institute of Economic Research, Stockholm, Sweden
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(creator_code:org_t)
- 2021-10-20
- 2021
- Engelska.
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Ingår i: Journal of Risk and Financial Management. - : MDPI. - 1911-8074. ; 14:11
- Relaterad länk:
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https://doi.org/10.3...
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https://www.mdpi.com...
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- In this paper, we analysed the heavy-tailed behaviour in the dynamics of housing-price returns in the United States. We investigated the sources of heavy tails by estimating autoregressive models in which innovations can be subject to GARCH effects and/or non-Gaussianity. Using monthly data from January 1954 to September 2019, the properties of the models were assessed both within- and out-of-sample. We found strong evidence in favour of modelling both GARCH effects and non-Gaussianity. Accounting for these properties improves within-sample performance as well as point and density forecasts.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Nationalekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Economics (hsv//eng)
Nyckelord
- non-Gaussianity
- GARCH
- probability integral transform
- Kullback-Leibler information criterion
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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