Abstract:
The present invention relates generally to electronic trading systems. More particularly, the present invention relates to systems and methods for providing, within an electronic trading process, real-time or near real-time pre- and post-trade analytics to assist traders make the decision of how to trade electronically a particular tradeable asset. Pre- and post-trade analytics can be displayed to a trader without affecting their workflow. Moreover, pre- and post-trade analytics can be used to make trading recommendations, to select or modify a trading strategy, to select and or modify trading destinations, brokers, algorithms or venues, and/or to automatically generate and transmit electronic trade orders or to effect trades.
Abstract:
A computerized method for generating risk forecasts is provided. A set of securities is selected. A set of risk factors is selected. The risk factor returns a determined. A risk factor covariance matrix and an idiosyncratic variance matrix are constructed. For each risk factor, a factor loading coefficient is determined for each selected security. The risk factor covariance matrix is projected into a future forecast. The idiosyncratic variance matrix is projected into a future forecast. The factor loading coefficients, the future forecast of the risk factor covariance matrix, and the future forecast of the idiosyncratic variance matrix can be used to determine a forecast of the variance-covariance matrix for the selected securities.
Abstract:
The present invention provides methods and systems for managing short-term risk to a portfolio of securities holdings while executing an outstanding trade list. The methods and systems may include steps of determining covariances between securities in the outstanding trade list and securities in the portfolio of holdings; receiving a risk variable, at least one constraint on the execution of a trade, and a proposed quantity representing a portion of said outstanding trade list desired to be executed at a particular time; and determining an immediately executable trade list based at least in part on the covariances and risk variable. The executable trade list must satisfy all of the trade constraints and also must be substantially equal to or less then the proposed quantity.
Abstract:
A system, method and computer program product are provided for forecasting the transaction costs of a trade using empirical data and user-defined modeling constraints based on real-time data regarding changes in market conditions. In preferred embodiments, the invention acts as a forecaster whereby it accepts inputs from customers and identifies real-time market analytics, and provides dynamically adjusted ex ante cost estimates and metrics for the prevailing market conditions. Specific cost estimation and optimization algorithms can be provided to model transaction costs of a specific trade based on empirical data and real-time variables.
Abstract:
A trading platform computer system for detecting an abnormal trading condition of a security uses real-time and estimated values of one or more variables associated with the condition of the security to generate one or more analytic metrics that are compared to empirical distributions based on one or more peer groups for the security. An indicator can then be displayed to a trader as an indication of the abnormal condition.
Abstract:
The present invention provides methods and systems for managing short-term risk to a portfolio of securities holdings while executing an outstanding trade list. The methods and systems may include steps of determining covariances between securities in the outstanding trade list and securities in the portfolio of holdings; receiving a risk variable, at least one constraint on the execution of a trade, and a proposed quantity representing a portion of said outstanding trade list desired to be executed at a particular time; and determining an immediately executable trade list based at least in part on the covariances and risk variable. The executable trade list must satisfy all of the trade constraints and also must be substantially equal to or less then the proposed quantity.
Abstract:
The present invention provides methods and systems for managing short-term risk to a portfolio of securities holdings while executing an outstanding trade list. The methods and systems may include steps of determining covariances between securities in the outstanding trade list and securities in the portfolio of holdings; receiving a risk variable, at least one constraint on the execution of a trade, and a proposed quantity representing a portion of said outstanding trade list desired to be executed at a particular time; and determining an immediately executable trade list based at least in part on the covariances and risk variable. The executable trade list must satisfy all of the trade constraints and also must be substantially equal to or less then the proposed quantity.
Abstract:
A method and computer program product for minimizing short-term risk to a portfolio of securities holdings during implementation of executing an outstanding trade list of securities to be traded, takes into account covariances between securities in the outstanding trade list and between securities in the outstanding trade list and securities in the portfolio of holdings so as to minimize risk to the portfolio of holdings as well as to a residual trade list of unexecuted orders during said implementation.
Abstract:
A method and computer program product for minimizing short-term risk to a portfolio of securities holdings during implementation of executing an outstanding trade list of securities to be traded, takes into account covariances between securities in the outstanding trade list and between securities in the outstanding trade list and securities in the portfolio of holdings so as to minimize risk to the portfolio of holdings as well as to a residual trade list of unexecuted orders during said implementation.
Abstract:
A trading platform computer system for detecting an abnormal trading condition of a security uses real-time and estimated values of one or more variables associated with the condition of the security to generate one or more analytic metrics that are compared to empirical distributions based on one or more peer groups for the security. An indicator can then be displayed to a trader as an indication of the abnormal condition.