论文代写:金融

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16/07/2017

论文代写:金融

根据本研究,研究人员已取得IFRS财务标准的结果。世界上有许多国家遵循IFRS的金融标准,并与其他国家进行贸易。这些公司根据IFRS财务标准编制财务报表。根据国际财务准则的财务标准,外国投资者很容易分析公司的财务报表。世界上一些国家没有接受IFRS的财务标准,因为这些国家认为美国公认会计准则是黄金准则,在接受国际会计准则时,它们的标准质量将会下降。为了准备IFRS的财务标准资产负债表,该公司过去聘用了根据IFRS财务标准编制资产负债表的顾问。这些公司正在选择IFRS的财务标准,它们在各自的行业表现良好。按照公认会计准则,未接受IFRS财务标准的公司,在他们的部门表现不佳。然而,那些接受国际财务准则财务标准的公司,以及他们未来预测的公司,在他们的行业中表现出色。研究人员收集了来自不同国家政府网站的次级数据。这些数据意味着选择了IFRS财务标准的公司,以及没有选择IFRS财务标准的公司。一些数据也从公司网站收集,这些数据提供了他们公司的预测价值。研究人员在描述性统计和回归模型工具的帮助下分析了这些数据。在回归分析中,一个变量是依赖的,另一个变量是独立的。

论文代写:金融

According to this study, the researcher has get the result on the IFRS financial standard. There are many countries in the world following the IFRS financial standard and trading with other nations. Those companies prepared their financial statement according to the IFRS financial standard. Foreign investors easily analyze the financial statement of the company prepared according to the IFRS financial standard. Some of the countries in the world has not accepted the IFRS financial standard because those countries think US GAAP is the golden standard, and their quality of standard will be lost while accepting IFRS. For preparing the IFRS financial standard balance sheet, the company used to hire the consultants who prepared their balance sheet according to the IFRS financial standard. The companies are selecting the IFRS financial standard and they are performing well in their sectors. The companies which have not accepted the IFRS financial standard followed the GAAP are seen that they are not performing well in their sectors. Whereas the companies who accepted the  IFRS financial standard as well as they are future forecasting their business are seen that they perform excellent in their sectors. The researcher has collected the secondary data  from the different countries government sites. These data signifies the companies who have selected the IFRS financial standard and who are not selected the IFRS financial standard. Some of the data is also collected from the company sites and these data gives the forecasted value of their companies. The researcher has analyzed these data with the help of descriptive statistics and regression model tools. In regression analysis, one variable is dependant and other variable is independent.

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