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Paper代写:Application of statistical analysis in financial management

2018-12-04 | 来源:51due教员组 | 类别:Paper代写范文

下面为大家整理一篇优秀的paper代写范文- Application of statistical analysis in financial management,供大家参考学习,这篇论文讨论了统计分析在财务管理中的应用。统计分析可以弥补财务管理工作中的不足,从而对财务管理工作起到辅佐的作用。统计分析工作可以取得企业生产经营中最为原始的第一手数据资料,通过这些珍贵的数据资料,可以更好的了解企业的生产经营动向。另外,统计分析能够以定量分析的方式对企业的现金流和存在的潜在经营风险进行定量的、实时的跟踪分析,以此为企业生产经营决策活动提供有力的数据支持,并为相关经营方针、战略目标的制订提供服务。

statistical analysis,统计分析,论文代写,essay代写,paper代写

Statistical applications regardless of from the application level, or from the level of data collected, which are more comprehensive than the financial management, statistics not only dabbling in accounting, financial management, economics, also covered in other industries reflected, for financial management forecast and decision-making activities play a very important fundamental role, is the two complement each other, inseparable.

Statistical analysis plays a direct role in financial management. Enterprise financial management work is through the analysis for a certain operation data, it is concluded that for the enterprise management, financial conditions, the cash flow situation judgment, and in order for the enterprise management to provide decision-making data theory, financial management need to relevant data, it is need to deal with the statistical analysis, and the relationship between them is mutual assistance and common development.

Statistical analysis can make up for the deficiencies in financial management and thus play an auxiliary role in financial management. Statistical analysis can obtain the most original first-hand data of enterprise production and operation. Through these precious data, we can better understand the trend of enterprise production and operation. Statistical analysis can make quantitative, real-time and whole-process tracking analysis of cash flow and potential business risks of enterprises in a quantitative way, so as to provide powerful data support for enterprises' production and business decision-making activities and provide services for the formulation of relevant business policies and strategic objectives.

Effective financial forecasting can determine the future direction of economic activities at the beginning, and timely intervene the possible risks. Therefore, the accuracy of financial forecasting plays an extremely important role in the future development of enterprises. And financial decisions for the improvement of enterprise management in the process of subjective initiative, will play a great role in promoting, effective business decisions to give full play to and use of statistical analysis tools as a work instruction, as in the trend of the use of statistical analysis to predict, and statistical methods of data analysis to put forward the design of relevant statistical analysis software requirements.

The ratio analysis method is a financial ratio method that can be used to calculate the economic indicators of an enterprise after comprehensive consideration of various internal factors related to the financial status of statistical units. In the process of financial ratios calculation unit economic indicators, but considering the relationship of the unit economic indicators, as well as balancing the connection of various economic activities, its advantage lies in the ratio analysis in these aspects can be integrated in the process of this calculation, the disadvantage is that the relationship between the accounting statements can not be clear. The common ratios in ratio analysis include correlation ratio, structure ratio and efficiency ratio.

Comparative analysis compares and analyzes statistical data of the same nature from two directions, and obtains the advantages and disadvantages of statistical analysis methods. The two directions mentioned generally refer to the horizontal and vertical aspects.

Horizontal comparison refers to the comparison of the same economic indicators between enterprises and the same industry, so as to find the gap between different enterprises in the same statistical period. Its significance lies in that the management of the enterprise can know the advantages and disadvantages of the enterprise's operation process after comparing the relevant data, so as to determine the direction of the next production and operation efforts, and formulate some feasible production and operation strategic guidelines for the enterprise.

Vertical comparison is mainly the comparison of economic indicators of enterprises in different periods. By comparing the economic indicators of the enterprise in different operating periods, the profitability and solvency of the enterprise in different periods can be obtained. It is conducive to discovering the high and low points in the operation process of the enterprise, so as to formulate a more reasonable and efficient operation plan for the enterprise and take the lead in the fierce market competition.

Statistical analysis and financial management are two different jobs of an enterprise. In the face of today's big data, the advent of the era of Internet, information interaction, if the both statistical analysis and financial management can be very good fusion, make its get a Shared data and information, not only can improve the work efficiency of the two, also is advantageous for the two kinds of economic analysis to the results of the analysis to confirm or complement each other. At the same time, detailed statistical analysis of digital information for financial management can provide more comprehensive data, for enterprises to reduce production costs, three expenses have played a guiding role. It can be seen that strengthening the synergy between statistical analysis and financial management and realizing their mutual integration can ultimately promote the better development of enterprises.

Statistics practitioners professional background is very few, so it is difficult to achieve an ideal level of statistical analysis of the enterprise, if you want to do a good job in the mutual coordination between statisticians and financial personnel, we should start from improving and strengthening the comprehensive business quality of statisticians. In addition, companies can introduce some statistical professional personnel, enrich their own statistics team, can be in a good financial management personnel selection some duty to statistical work, such already can effectively improve the comprehensive service quality of statistical personnel, and can improve the efficiency of statistical analysis, and financial management. Statisticians should also be careful and rigorous in their daily work, so as to contribute their own strength to the development and progress of enterprises, which is also the embodiment of their own value.

In the future enterprise development process, financial management and statistical analysis will be more and more closely integrated, and there will be more and more data information sharing between the two. Therefore, for enterprises, enough attention should be paid to financial analysis to ensure that statistical analysis plays its due role in the development of enterprises.

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