| 摘要: |
| 针对当下互联网热门金融产品余额宝和财富宝，选取二者7日年化收益率作为对比数据，在验证了收益率均不服从正态分布的情况下，使用非参数估计方法——核密度估计对数据分布特征进行研究，并选择Epan核，使用Silverman嵌入估计进行核密度估计；结果表明：余额宝与财富宝的收益率均服从双峰分布，且财富宝收益率明显高于余额宝收益率，但更易产生收益率极端值；此研究可为互联网金融市场的风险度量等模型在收益率分布方面提供更具说服力的参考。 |
| 关键词: 互联网金融 余额宝 理财宝 核密度估 |
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| Comparison and Analysis of the Yield of Internet Financial Products Based on the Kernel Density Estimation |
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MA Xin yue
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| Abstract: |
| By starting from the current hot Internet financial products： The YuE Bao and the CaiFu Bao ， the annual rate of income of the seven days is selected as the contrast data.In the case that the yield does not obey the normal distribution， the non parametric estimation method， the kernel density estimation， is used to study the data distribution characteristics. And also， this paper selects the Epan kernel and uses the Silverman embedding estimation to run the kernel density estimation to conclude that The yield of YuE Bao of Alipay and CaiFu Bao all obey the distribution of “Shuangfeng”. And the profit rate of CaiFu Bao is obviously higher than that of the YuE Bao ， but it is more likely to produce the extreme value of the yield. This study can also provide a more convincing reference for the risk measurement of the Internet financial market in terms of yield distribution. |
| Key words: Internet finance Yu E Bao Cai Fu Bao kernel density estimation. |
