Abstract: In certain embodiments, a computer system and process for use in a trading system are provided that allow trading entities to compress trade records while simplifying the reconciliation process. Advantageously, compressed trade records are processed by a custodian firm, while uncompressed reconciliation data are processed by a central counterparty. In some embodiments, a computer system and process are provided that allows trading entities to compress trade records across markets. Advantageously, compression across markets provides a larger pool of eligible trade records for compression, increasing the number of compressible trades, and thus reducing fees paid by the trading firm and the amount of data transmitted.

Abstract: In certain embodiments, a computer system and process for use in a trading system are provided that allow trading entities to compress trade records while simplifying the reconciliation process. Advantageously, compressed trade records are processed by a custodian firm, while uncompressed reconciliation data are processed by a central counterparty. In some embodiments, a computer system and process are provided that allows trading entities to compress trade records across markets. Advantageously, compression across markets provides a larger pool of eligible trade records for compression, increasing the number of compressible trades, and thus reducing fees paid by the trading firm and the amount of data transmitted.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: In certain embodiments, a computer system and process for use in a trading system are provided that allow trading entities to compress trade records while simplifying the reconciliation process. Advantageously, compressed trade records are processed by a custodian firm, while uncompressed reconciliation data are processed by a central counterparty. In some embodiments, a computer system and process are provided that allows trading entities to compress trade records across markets. Advantageously, compression across markets provides a larger pool of eligible trade records for compression, increasing the number of compressible trades, and thus reducing fees paid by the trading firm and the amount of data transmitted.

Abstract: In certain embodiments, a computer system and process for use in a trading system are provided that allow trading entities to compress trade records while simplifying the reconciliation process. Advantageously, compressed trade records are processed by a custodian firm, while uncompressed reconciliation data are processed by a central counterparty. In some embodiments, a computer system and process are provided that allows trading entities to compress trade records across markets. Advantageously, compression across markets provides a larger pool of eligible trade records for compression, increasing the number of compressible trades, and thus reducing fees paid by the trading firm and the amount of data transmitted.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.

Abstract: A method for modeling an investment significant parameter of a financial instrument, using a computer. At least one series of historical bid prices of the financial instrument or historical ask prices of the financial instrument is provided. A financial model type that has at least one variable parameter is selected. The variable parameter(s) of the selected financial model type is initialized. The series of historical bid prices and/or historical ask prices is applied to the initialized financial model type to estimate the variable parameter(s). The resulting model of the financial instrument may be used to predict future values of the investment significant parameter of the financial instrument. These predicted future values may be used to determine whether to perform automated trades of the financial instrument.