Uncertainty index and stock volatility prediction: evidence from international markets.
Financ Innov
; 8(1): 57, 2022.
Artigo
em Inglês
| MEDLINE | ID: covidwho-1910365
ABSTRACT
This study investigates the predictability of a fixed uncertainty index (UI) for realized variances (volatility) in the international stock markets from a high-frequency perspective. We construct a composite UI based on the scaled principal component analysis (s-PCA) method and demonstrate that it exhibits significant in- and out-of-sample predictabilities for realized variances in global stock markets. This predictive power is more powerful than those of two commonly employed competing methods, namely, PCA and the partial least squares (PLS) methods. The result is robust in several checks. Further, we explain that s-PCA outperforms other dimension-reduction methods since it can effectively increase the impacts of strong predictors and decrease those of weak factors. The implications of this research are significant for investors who allocate assets globally.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Financ Innov
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
S40854-022-00361-6
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