公开(公告)号：US08095442B2

公开(公告)日：2012-01-10

申请号：US11443096

申请日：2006-05-31

申请人： Marcus Baumann ,  Markus Kahn

发明人： Marcus Baumann ,  Markus Kahn

IPC分类号： G06Q40/00

CPC分类号： G06Q40/025 ,  G06Q10/063 ,  G06Q40/00 ,  G06Q40/02

摘要： Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

公开(公告)号：US20060282360A1

公开(公告)日：2006-12-14

申请号：US11191985

申请日：2005-07-29

申请人： Markus Kahn ,  Jens-Peter Jensen ,  Marcus Baumann

发明人： Markus Kahn ,  Jens-Peter Jensen ,  Marcus Baumann

IPC分类号： G06Q40/00

CPC分类号： G06Q40/025 ,  G06Q10/063 ,  G06Q40/00 ,  G06Q40/02

摘要： Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

公开(公告)号：US20060280302A1

公开(公告)日：2006-12-14

申请号：US11443096

申请日：2006-05-31

申请人： Marcus Baumann ,  Markus Kahn

发明人： Marcus Baumann ,  Markus Kahn

IPC分类号： H04N7/167

CPC分类号： G06Q40/025 ,  G06Q10/063 ,  G06Q40/00 ,  G06Q40/02

摘要： Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

摘要翻译： 提供计算机实现的方法，计算机系统和计算机程序产品用于确定指定的矩阵。 矩阵可能与金融机构和银行业务中的财务有关。 在一个实现中，形成基本矩阵，其可以在处理质量数据时用于创建指定的矩阵。

公开(公告)号：US20060069632A1

公开(公告)日：2006-03-30

申请号：US11239139

申请日：2005-09-30

申请人： Markus Kahn ,  Marcus Baumann

发明人： Markus Kahn ,  Marcus Baumann

IPC分类号： G06Q40/00

CPC分类号： G06Q40/00 ,  G06Q20/108 ,  G06Q40/02 ,  G06Q40/025 ,  G06Q40/06 ,  Y10S707/99935

摘要： Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

公开(公告)号：US07596520B2

公开(公告)日：2009-09-29

申请号：US11239139

申请日：2005-09-30

申请人： Markus Kahn ,  Marcus Baumann

发明人： Markus Kahn ,  Marcus Baumann

IPC分类号： G06Q99/00

CPC分类号： G06Q40/00 ,  G06Q20/108 ,  G06Q40/02 ,  G06Q40/025 ,  G06Q40/06 ,  Y10S707/99935

摘要： Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

摘要翻译： 提供计算机实现的方法，计算机系统和计算机程序产品，用于自动化通用和并行汇总具有特定经济利益，特别是与金融机构有关的未分类大众数据的特征和关键数字，以及银行业务的财务。 并行聚合可以减少客户定义粒度的数据量，以便于处理与银行业务中所有信用风险管理领域相关的原始数据。 此外，在大众数据的情况下，软件的运算能力和软件性能运行时间分别可能会得到改善。