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Time-frequency causality between stock prices and exchange rates: Further evidences from cointegration and wavelet analysis

机译:股价与汇率之间的时频因果关系:协整和小波分析的进一步证据

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The current study investigates the relationship between stock prices and exchange rate by using wavelets approach and more focused the continuous, power spectrum, cross and coherence wavelet. The result of Bayer and Hanck (2013) and Gregory and Hansen (1996) confirm the presence of long-run association between stock price and exchange rate in Pakistan. The results of wavelet coherence reveal the dominance of SP during 2005-2006 and 2011-2012 in the period of 8-16 and 16-32 weeks cycle in approximately all the exchange rates against Pakistani rupees. For almost the entire studied period in long scale, the study evidences the strong coherence between both the series. The most interesting part of this coherence is the existence of bidirectional causality in the long timescale. The arrows in this long region are pointing both left up and left down. This suggests that during the time period, our variables are exhibiting out phase relationship with mutually leading and lagging the market. These results are in contrast with many earlier studies of Pakistan. (C) 2017 Elsevier B.V. All rights reserved.
机译:目前的研究通过使用小波方法来调查股票价格与汇率之间的关系,并更加集中于连续,功率谱,交叉和相干小波。拜耳和汉克(2013年)和格雷戈里和汉森(1996年)的结果证实了巴基斯坦股价与汇率之间长期关联的存在。小波一致性的结果揭示了2005 - 2006年和2011-2012期间SP的优势在8-16期和16-32周周期,大约是巴基斯坦卢比的所有汇率。对于几乎整个研究期限,研究可以证明这两个系列之间的强烈一致性。这种连贯性最有趣的部分是长时间阶段的双向因果关系存在。这个长区域中的箭头指向左上方并留下。这表明,在时间段,我们的变量正在展示与相互领先和滞后市场的相位关系。这些结果与巴基斯坦的许多早期研究相反。 (c)2017年Elsevier B.V.保留所有权利。

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