Novel Model of Product Sales in Financial and Trade Activities Participation based on the Variation Coefficient Method

Lei-Yu Wu
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Abstract

The trade of cultural products is a new industry arising from the big background of economic globalization, and it is of strong permeability, wide cross-industry, and relatively intensive knowledge. It stands at the top of the commodity industry chain, is gradually recognized and cherished by people. Its development is also one of the obvious signs to measure the regional competitiveness. In view of the corresponding evaluation index of the sales route of cultural products in financial and trade activities participation, the study carries out the comprehensive weighting, and optimizes the results of the weighting based on the variation coefficient method. The importance between the subjective weight and objective weight is verified according to the instance data and the operating income margin of cultural products is predicted. The results show that this method takes full account of the relative variation range of the original data, and realizes the dynamic weighting value of the index, which greatly reduces the influence of the subjective factors. The network microstructure analysis results based on the node influence and node instability under time windows display that the partition characteristic of the index network weakens in the financial crisis period, and the network’s community structure evolves smoothly in the financial stable period. These results provide cases and references for further empirical researches on the correlations of financial markets, also are helpful for speeding up the opening process of the domestic capital market and the prevention of international financial market risks.
基于变异系数法的金融贸易活动参与中产品销售的新模型
文化产品贸易是在经济全球化大背景下兴起的新兴产业,具有渗透性强、跨行业广、知识相对密集等特点。它站在商品产业链的顶端,逐渐被人们所认可和珍视。其发展也是衡量区域竞争力的明显标志之一。针对文化产品在金融贸易活动参与销售路径的相应评价指标,进行综合加权,并基于变异系数法对加权结果进行优化。通过实例数据验证了主观权重与客观权重之间的重要程度,并对文化产品的营业利润率进行了预测。结果表明,该方法充分考虑了原始数据的相对变化范围,实现了指标的动态加权值,大大降低了主观因素的影响。基于时间窗下节点影响和节点不稳定性的网络微观结构分析结果显示,金融危机时期指标网络的分区特征减弱,金融稳定时期网络社区结构演化平稳。这些结果为进一步实证研究金融市场相关性提供了案例和参考,也有助于加快国内资本市场的开放进程,防范国际金融市场风险。
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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