• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2011 International Summer Conference of Asia Pacific on Business Innovation and Technology Management >Using self-organizing maps for analyzing credit rating and financial ratio data
【24h】

Using self-organizing maps for analyzing credit rating and financial ratio data

机译：使用自组织图分析信用等级和财务比率数据

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

摘要

Credit rating granting in rating agencies is a complex decision making process for outside rating information users. The data these rating agencies required for making rating decision cover many facets, including financial data, operations data, the data regarding interview with top managers of issuers, etc. The systematic rating process, such as how each data item contributes to each specific rating granting, is still blind to the outsiders. Therefore, this study proposes an easy analytical tool for visualizing the relationships between credit rating information and financial ratio data. Self-organizing maps (SOMs) have been effectively used for visualizing and clustering tasks in numerous applications, such as financial statement analysis and document analysis, and thus this study applies SOMs on analyzing the relationship patterns. Banking industry data are used as the test bed. The study results demonstrate that the SOM could be a feasible tool for uncovering the relationships between those rating symbols and the data referred by rating agencies.
机译：对于外部评级信息用户，评级机构中的信用评级授予是一个复杂的决策过程。这些评级机构做出评级决策所需的数据涵盖了许多方面，包括财务数据，运营数据，与发行人最高管理者的访谈有关的数据等。系统的评级过程，例如每个数据项如何为每个特定的评级授予做出贡献，仍然是局外人看不见的。因此，本研究提出了一种简单的分析工具，用于可视化信用评级信息和财务比率数据之间的关系。自组织映射（SOM）已被有效地用于可视化和聚类任务，在许多应用程序中，例如财务报表分析和单据分析，因此，本研究将SOM用于分析关系模式。银行业数据用作测试平台。研究结果表明，SOM可能是揭示那些评级符号与评级机构所引用数据之间关系的可行工具。

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