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    • 5. 发明申请
    • FIXED INCOME SECURITIES MARKET DATA DISPLAY
    • 固定收益证券市场数据显示
    • US20120317053A1
    • 2012-12-13
    • US13492641
    • 2012-06-08
    • William J. GartlandJim DriscollAJ LindemanPeter Cotton
    • William J. GartlandJim DriscollAJ LindemanPeter Cotton
    • G06Q40/06G06Q40/04
    • G06Q40/04
    • A machine-implemented method includes: obtaining transaction data relating to one or more financial assets, the transaction data including the identity of the one or more financial assets, corresponding valuation data for the one or more financial assets, and corresponding volume data for the one or more financial assets; receiving, at the data processing apparatus, a request to display information relating to a first financial asset from the one or more financial assets; generating, in response to receiving the request, output data for display at a user terminal, in which the output data includes a user interface that displays at least a portion of the transaction data relating to the first financial asset and market projection information relating to the first financial asset, in which the market projection information is substantially contemporaneous with the portion of transaction data; and transmitting the output data to the user terminal.
    • 机器实现的方法包括:获得与一个或多个金融资产相关的交易数据,所述交易数据包括所述一个或多个金融资产的身份,所述一个或多个金融资产的相应估值数据,以及所述一个或多个金融资产的相应估计数据 或更多的金融资产; 在所述数据处理装置处接收从所述一个或多个金融资产显示与第一金融资产有关的信息的请求; 生成响应于接收到所述请求而输出用于在用户终端显示的数据,其中所述输出数据包括显示与所述第一金融资产相关的交易数据的至少一部分的用户界面和与所述第一金融资产有关的市场投资信息 第一金融资产,其中市场投资信息与交易数据的部分基本同时; 并将输出数据发送到用户终端。
    • 8. 发明授权
    • Intelligent simulation analysis method and system
    • 智能模拟分析方法和系统
    • US07865415B2
    • 2011-01-04
    • US10793139
    • 2004-03-04
    • Peter Cotton
    • Peter Cotton
    • G06Q40/00
    • G06Q40/04G06Q40/00G06Q40/06G06Q50/12
    • A method for calculating pricing information for a financial instrument consisting of a plurality of underlying financial instruments that includes the steps of: calculating a default time vector for a plurality of default scenarios wherein each default time vector includes a measure of a likelihood of default for each of the plurality of underlying financial instruments; calculating one or more cash flows for a subset of the default scenarios thereby forming a training set; training a neural network with the training set; and using the neural network to estimate one or more cash flows for a remaining number of the plurality of default scenarios.
    • 一种用于计算由多个基础金融工具组成的金融工具的定价信息的方法,包括以下步骤:计算多个默认情况的默认时间向量,其中每个默认时间向量包括每个缺省时间向量的默认可能性的度量 的多个相关金融工具; 计算一个或多个缺省情景子集的现金流,从而形成训练集; 训练神经网络与训练集; 以及使用所述神经网络来估计所述多个默认场景的剩余数量的一个或多个现金流。