本片文章主要介绍的是代写价格：对数据的描述性统计，根据最近5年的最新数据(数据来源:Yahoo Finance, 2016)对过去10家公司进行描述性统计。
代写价格：对数据的描述性统计
以上三个表表明，很多公司在过去5年存在较大的偏差。从上面的图表可以看出，这些中国上市公司的ABAC, ATAI, ATV, BABA, CCM, DANG, DELT, EDU, GRO, GURE, JD, HTHT, JOBS, KZ, NQ, NTES, NOS, SOL偏态为负，说明这些公司的股票分布呈长左尾。
代写价格：对数据的描述性统计
偏态为负的有18家，偏态为正的有32家。这表明，超过40%的公司的股票价值随着时间的推移而下降。这是由于各种原因造成的，比如中国大型上市公司的欺诈案，这些公司被从纳斯达克证券交易所撤出，投资者失去了信心。50家公司中，峰度值大于3的有21家，峰度值小于3的有29家。
代写价格：对数据的描述性统计
这意味着21家公司的股票价值在一段时间后增加，而29家公司的股票价值较低，而与平均值无关。这说明很多公司的股价较低，意味着公司在市场上的估值较低，从而导致财务杠杆的情况。大多数中国公司导致了杠杆效应(Sami et al, 2011)。下表检验所有日期序列之间的方差是否相等。标准差、自由度、概率如下表所示。
代写价格：对数据的描述性统计
在该表中可以看出，超过两个子组的方差不同，即拒绝原假设。因此，基于股票交易所建立的公司价值假设是正确的，因此股价下跌将导致公司财务下跌(Obradovich et al.， 2013)。这种下降导致了公司的财务问题，公司需要安排债务融资，以购买所需的资源或资产的公司。这个评估导致了财务杠杆，因此这成为影响杠杆的重要因素。这也意味着测试的值可能对偏离正常值敏感。
代写价格：对数据的描述性统计
Descriptive Statistics for last 10 Companies based on last 5 years’ latest data available (Data Source: Yahoo Finance, 2016) .The above three tables indicate that there is huge deviation among many companies over the last 5 years. From the above charts it can be concluded that these listed Chinese companies have ABAC, ATAI, ATV, BABA, CCM, DANG, DELT, EDU, GRO, GURE, JD, HTHT, JOBS, KZ, NQ, NTES, NOS, SOL skewness as negative that means that the distribution in these company’s stocks has long left tail.
代写价格：对数据的描述性统计
There are total 18 companies which have negative skewness and rest 32 companies have positive skewness. This indicates that in more than 40% companies the stock value declined over time. This happened due to various reasons as like fraudulent cases on large listed Chinese companies for that these companies were removed from NASDAQ stock exchange and hence the investors lost the confidence. Out of 50 companies, there is 21 companies whose kurtosis value is greater than 3 and for rest 29 companies the value is less than 3.
代写价格：对数据的描述性统计
This means the stock value for 21 companies increased after some time whereas for 29 companies was lower irrespective of average value. This indicates that the stock price was lower for many companies means the valuation of the companies in the market was lower and hence led to financial leverage situations. Most of the Chinese company resulted in to leverage effect (Sami et al, 2011). The below table tests the equality of the variances among all date series. The standard deviation, degree of freedom, and probability is given in the below table.
代写价格：对数据的描述性统计
In this table it is indicated that more than two subgroups have different variance that means the null hypothesis is rejected. Hence the hypothesis builds for company value based on stock exchange is true and hence the decline in stock prices will lead decline in financials for the companies (Obradovich et al., 2013). This decline leads to the financial issues in the companies and companies are needed to arrange debt finance to buy required resources or assets for the company. This evaluates leads to financial leverage and so this becomes the important factor for leverage affect. This also leads to the implication that the value of the test may be sensitive to the departures from normality.
