2004
DOI: 10.1016/j.asieco.2003.11.003
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Time series analysis for the interest rates relationships among China, Hong Kong, and Taiwan money markets

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Cited by 12 publications
(8 citation statements)
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“…By using traditional tests, Perron (1989) demonstrates that in the presence of a structural break in the time series, many perceived non-stationary series are in fact stationary . Further work by Zivot and Andrew (1992) elaborates and overthrows the presumed exogenous break point, and develops a unit-root test with an endogenous structural break, which we regard as a more suitable test for the order of integration of series (Nieh and Yau, 2004). The results of the Zivot-Andrew tests indicate that the ln(SHA) series carry unit-roots in the level and reject the null of non-stationarity in the first difference.…”
Section: Resultsmentioning
confidence: 94%
“…By using traditional tests, Perron (1989) demonstrates that in the presence of a structural break in the time series, many perceived non-stationary series are in fact stationary . Further work by Zivot and Andrew (1992) elaborates and overthrows the presumed exogenous break point, and develops a unit-root test with an endogenous structural break, which we regard as a more suitable test for the order of integration of series (Nieh and Yau, 2004). The results of the Zivot-Andrew tests indicate that the ln(SHA) series carry unit-roots in the level and reject the null of non-stationarity in the first difference.…”
Section: Resultsmentioning
confidence: 94%
“…Further elaborated work by Zivot and Andrew (1992) overthrew the presumed exogenous break point and develops a unit-root test with endogenous structure break, which has been regarded as a more suitable test for the order of integration of series (Nieh and Yau 2004).…”
Section: Insert Table 2 Herementioning
confidence: 99%
“…Stationary of Y series in concern is determined by examining the statistical significance of β coefficient. Lag length related to the equations can be identified according to the criteria such as Schwarz Information Criterion and Akaike Information Criteria (AIC) (Nieh & Yau, 2004).…”
Section: Methodsmentioning
confidence: 99%