包含多维度和多重共线性的各种汇率买卖价格之间的相似性测量方法

Dennis Wen Wei Ng, Yun Fah Chang, Premagowrie Sivanandan, Wei Shean Ng
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引用次数: 0

摘要

本文引入了一种新的统计模型--具有多重共线性的多维测量误差模型,以研究各种货币的外汇汇率买入价和卖出价之间的关系。之所以需要这样一个模型,是因为自金融危机发生以来,金融市场朝着各国股票市场一体化的方向发展,可能会出现多维度和多重共线性问题,这也是全球化的部分结果。由于这种一体化涉及多个国家的参与,因此会对外汇汇率产生影响。因此,我们对七种货币兑马来西亚林吉特的汇率进行了分析,并对四种模型的表现进行了比较。研究得出的结论是,所提出的模型在表示静态价格关系方面比其他模型表现得更好,在表示非静态价格方面与现有模型表现相同。还可以看出,日元是影响最大的货币,与其他货币的趋势相似,而英镑则相反。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Similarity Measures between Buying and Selling Prices of Various Exchange Rates with the inclusion of Multidimensionality and Multicollinearity
This paper introduces a new statistical model, the multidimensional measurement error model with multicollinearity, to study the relationship between buying and selling prices of foreign exchange rates of various currencies. Such a model is needed due to the possible rise in multidimensionality and multicollinearity issues that may occur due to the movement of the financial markets towards stock market integration of various countries since the occurrences of the financial crisis as well as the part result of globalization. As this integration involves the participation of various countries, it will affect the foreign exchange rate. Hence, the analyses are performed on seven currencies against the Malaysian Ringgit where four models’ performances are compared. From this research, it can be concluded that the proposed model comparatively performs better than the other models in representing the relationship of the stationary prices and performs as well as existing models towards non-stationary prices. It can also be seen that the Japanese Yen is the currency that has the strongest influence and closer similar trends towards other currencies while the Great British Pound showed otherwise.
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