Characterizing Co-Movements between Indian and Emerging Asian Equity Markets Through Wavelet Multi-Scale Analysis

A. M., Malabika Deo, Wayne King
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引用次数: 1

Abstract

Multi-scale representations are effective in characterising the time-frequency characteristics of financial return series. They have the capability to reveal the properties not evident with typical time domain analysis. Given the aforesaid, this study derives crucial insights from multi scale analysis to investigate the co- movements between Indian and emerging Asian equity markets using wavelet correlation and wavelet coherence measures. It is reported that the Indian equity market is strongly integrated with Asian equity markets at lower frequency scales and relatively less blended at higher frequencies. On the other hand the results from cross correlations suggest that the lead-lag relationship becomes substantial as we turn to lower frequency scales and finally, wavelet coherence demonstrates that this correlation eventually grows strong in the interim of the crises period at lower frequency scales. Overall the findings are relevant and have strong policy and practical implications.
基于小波多尺度分析的印度与新兴亚洲股市共同走势特征
多尺度表征是表征金融收益序列时频特征的有效方法。它们具有揭示典型时域分析不明显的特性的能力。鉴于上述,本研究从多尺度分析中获得了重要的见解,利用小波相关和小波相干度量来研究印度和新兴亚洲股票市场之间的共同运动。据报道,印度股票市场与亚洲股票市场在较低频率尺度上融合强烈,而在较高频率上混合相对较少。另一方面,相互关联的结果表明,当我们转向较低的频率尺度时,先导滞后关系变得实质性,最后,小波相干性表明,这种相关性最终在较低频率尺度的危机期间变得更强。总的来说,研究结果是相关的,具有很强的政策和实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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