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Fractional integration versus level shifts: The case of realized asset correlations

机译:分数积分与级别转换:已实现资产关联的情况

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Long memory has been widely documented for realized financial market volatility. As a novelty, we consider daily realized asset correlations and we investigate whether the observed persistence is (i) due to true long memory (i.e. fractional integration) or (ii) artificially generated by some structural break processes. These two phenomena are difficult to be distinguished in practice. Our empirical results strongly indicate that the hyperbolic decay of the autocorrelation functions of pair-wise realized correlation series is indeed not driven by a truly fractionally integrated process. This finding is robust against user specific parameter choices in the applied test statistic and holds for all 15 considered time series. As a next step, we apply simple models with deterministic level shifts. When selecting the number of breaks, estimating the breakpoints and the corresponding structural break models we find a substantial degree of co-movement between the realized correlation series hinting at co-breaking. The estimated structural break models are interpreted in the light of the historic economic and financial development.
机译:长期记忆已被广泛记录,以实现金融市场的动荡。作为一种新颖性,我们考虑日常实现的资产关联,并研究观察到的持久性是(i)是由于真正的长记忆(即分数积分)还是(ii)由某些结构性断裂过程人为产生的。在实践中很难区分这两种现象。我们的经验结果强烈表明,成对实现的相关序列的自相关函数的双曲线衰减确实不是由真正的分数积分过程驱动的。该发现对于应用的测试统计数据中针对用户特定参数的选择是可靠的,并且对于所有15个考虑的时间序列均成立。下一步,我们将应用具有确定性水平偏移的简单模型。当选择中断的数量,估计断点和相应的结构中断模型时,我们发现已实现的相关序列之间的共同运动程度暗示着共同断裂。根据历史上的经济和金融发展来解释估计的结构破坏模型。

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