Analysis and Research of VAR Listed Monetary Fund Based on Big Data

Chenheng Xu
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Abstract

In 2013, Internet money fund products led by Yu'e Bao were born. They are dependent on the Internet and attract a large number of customers with their unique marketing platform, convenient trading methods and high liquidity. At present, Alipay, NetEase, SUNING, Tencent, Baidu, JD.com and other companies have joined the ranks. Many Internet money funds are springing up in the market like bamboo shoots after a spring rain. However, against the backdrop of a marked decline in the global economy affected by the COVID-19 epidemic, the reference rate of return of various Internet money funds has plummeted, with Tianhong Yu'ebao ‘s 7-day annualized yield falling below 2% to 1.855% for the first time since its establishment. In this paper, 20 sample funds are tested by VaR model, and the corresponding evaluation is given. The analysis results show that the overall value at risk of Internet money funds is not high, so it is suitable to avoid risk, but the rate of return and VaR do not fully reflect the market law of “high risk, high return; low risk, low return”, indicating that there is still a lot of room for improvement in risk control of Internet money funds in China. The development of Internet money fund has a profound impact on the traditional fund industry and even the whole financial industry. based on this, it is particularly important to analyze the development status, operation mechanism and risk of Internet money fund. Empirical analysis through data statistical test and ARCH effect test can analyze the risk more effectively and help investors understand Internet money fund products so that they can invest better. First of all, compared with the Internet money fund, the risk of bank wealth management products is relatively higher. Second, the risk spillover of Internet money funds and bank wealth management products is asymmetric, and the risk spillover of Internet money funds to bank wealth management products is stronger. Third, Internet money funds of banking and fund departments have positive risk spillover effects on bank wealth management products, which means that Internet money funds of banking and fund departments can aggravate the risk impact on China's commercial banks.
基于大数据的VAR上市货币基金分析与研究
2013年,以余额宝为首的互联网货币基金产品诞生。它们依赖于互联网,以其独特的营销平台、便捷的交易方式和高流动性吸引了大量的客户。目前,支付宝、网易、苏宁、腾讯、百度、京东等公司也加入了这一行列。许多互联网货币基金如雨后春笋般在市场上涌现。然而,在受新冠肺炎疫情影响全球经济明显下滑的背景下,各类互联网货币基金的参考收益率大幅下滑,天弘余额宝7日年化收益率自成立以来首次跌破2%,至1.855%。本文采用VaR模型对20只样本基金进行了检验,并给出了相应的评价。分析结果表明,互联网货币基金整体风险值不高,适合规避风险,但收益率和VaR并未充分体现“高风险、高收益;低风险、低回报”,说明中国互联网货币基金的风控还有很大的提升空间。互联网货币基金的发展对传统基金行业乃至整个金融行业都产生了深远的影响。在此基础上,分析互联网货币基金的发展现状、运行机制和风险就显得尤为重要。通过数据统计检验和ARCH效应检验进行实证分析,可以更有效地分析风险,帮助投资者了解互联网货币基金产品,从而更好地进行投资。首先,与互联网货币基金相比,银行理财产品的风险相对较高。二是互联网货币基金与银行理财产品的风险外溢不对称,互联网货币基金对银行理财产品的风险外溢更强。第三,银行和基金部门的互联网货币基金对银行理财产品具有正向的风险溢出效应,这意味着银行和基金部门的互联网货币基金可以加剧对中国商业银行的风险影响。
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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