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Research of the influencing factors of China's foreign exchange reserves based on Multiple linear regression analysis model

机译:基于多线性回归分析模型的中国外汇储备影响因素研究

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Foreign exchange reserve is an important economic asset of a country. It plays an important role in regulating the balance of payments deficit, intervening in the foreign exchange market and maintaining the stability of the local currency. In real economic problems, a variable is often affected by multiple variables. Multiple linear regression model analyzes the influence of two or more influencing factors as independent variables on dependent variables, and the relationship between variables is linear. This paper uses multiple linear regression model to analyze the influencing factors of China's foreign exchange reserve. Based on the time series data from 2000 to 2019, this paper explains the relationship between GDP, total import and export, money supply, foreign debt balance and the amount of foreign direct investment and foreign exchange reserves. Therefore, it is necessary to do an in-depth study about the changes of the scale of China's foreign exchange reserves to strictly manage and effectively use China's foreign exchange reserves according to the actual situation of China, so as to promote the healthy development of China's foreign exchange market and China's economy.
机译:外汇储备是一个国家的重要经济资产。它在规范支付赤字平衡,干预外汇市场并维持当地货币的稳定方面发挥着重要作用。在真正的经济问题中,变量通常受多个变量的影响。多个线性回归模型分析了两个或多个影响因素作为独立变量对依赖变量的影响,并且变量之间的关系是线性的。本文采用多元线性回归模型分析了中国外汇储备的影响因素。根据2000年至2019年的时间序列数据,本文解释了GDP,总进出口,货币供应,外债余额和外国直接投资和外汇储备的关系。因此,有必要对中国外汇储备规模的变化进行深入研究,以严格管理和有效地利用中国的外汇储备根据中国的实际情况,以促进中国的健康发展外汇市场和中国经济。

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