• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Complex Adaptive Systems >Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies
【24h】

Time-series Analysis for Detecting Structure Changes and Suspicious Accounting Activities in Public Software Companies

机译：检测结构变化的时间序列分析和公共软件公司的可疑会计活动

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper offers a novel methodology using several new ratios and comparison approaches to investigate public software activities and condition. The methodology focuses on time-series data mining, monitoring and analyzing. The dataset is based on 100 U.S. software companies with least ten-year SEC verified income statement, balance sheets and cash flow statement. The contribution of this paper is creating and applying several new financial ratios combined with traditional approach to detect our proposed major account to operating net cash inflow and outflow ratios provide a better visualization of the cash sources and usage, which help analysts to observe major cash flow structure changes and make predication. For investing section, our proposed investing cash flow growth contribution ratio is used to identify irregular investment behavior. Combining with the traditional financial ratio tests, we believe that our approach significantly facilitates early detection on suspicious financial activities and the evaluation of its financial status.
机译：本文提供了一种新的方法，采用几种新比率和比较方法来调查公共软件活动和条件。该方法侧重于时序数据挖掘，监测和分析。 DataSet基于100个U.S.软件公司，最少十年的证券核实损益表，资产负债表和现金流陈述。本文的贡献正在创造和应用若干新的金融比率与传统方法相结合，以检测我们提出的主要账户，以便运营净现金流入和流出比率更好地可视化现金来源和使用，帮助分析师观察主要现金流量结构改变并进行预测。对于投资部分，我们建议的投资现金流量增长缴款率用于识别不规则的投资行为。与传统的财务比率测试相结合，我们认为我们的方法明显促进了对可疑金融活动的早期检测和对其财务状况的评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号