Analysis of breaches and co-breaks in financial series: a non-parametric approach data using high frequency. / Análise de quebras e co-quebras em séries financeiras: uma abordagem não-paramétrica usando dados de alta frequência.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

This research use a non-parametric test developed by Lee &MYKLAND (2007) to extract jumps in IBOVESPA series and study its dynamics. Among the qualities of this test there are the ability to identify the exact time of occurrence of break / co-break, the sign and size of it. The jumps in the series of Dow Jones, Exchange rate, C-Bond spread and SELIC rate were also estimated and the relation with IBOVESPAs jump were verified. The results were analyzed by descriptive statistics, analysis of frequencies and Logit regression models. As a main result there was the predominance of co-breaks involving IBOVESPA with exchange rate and with the spread of C-Bond.

ASSUNTO(S)

variação bi-power high-frequency data volatilidade realizada ciencias sociais aplicadas processo de quebra bi-power variation realized volatility dados de alta freqüência jump process

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