Abstract: The disclosed technology teaches building a prediction classifier for individual subject trading behavior in response to a market event, utilizing questionnaire-based measures of ATR, confidence and optionally loss aversion. The method includes accessing observation data with questionnaire-based measures that score responses to questions in categories including ATR, loss aversion, confidence and demographic data, as predictor measures, and reported trading behavior that indicates degree of trading in response to the market event, for numerous subjects. The method also includes classifying the reported trading behavior in response to the market event by degree of hold/trade and buy/sell, including fitting a first classifier to distinguish between holding and trading, and fitting the second classifier, using the subjects classified as trading in response to the market event, as buying or selling.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analyses.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions. Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyses may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analysis.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions. Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyses may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions. Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyzes may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analyses.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analyses.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analyses.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyses may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: The present disclosure relates to household portfolio simulation and analysis to provide retirement income. In particular, it discloses advanced technologies for modeling, simulation and analysis of potential economic futures, as applied to household retirement prospects. Improved modeling may capture factors such as concrete objectives of participants' priorities among objectives, risk adversity and starting conditions that impact tax consequences of transactions. Improved modeling may address consistency among similar factors, tax consequences in simulation periods and transactions in real estate and private investments. Improved analyses may apply a margin of safety and/or risk budget analysis to a household portfolio to produce a meaningful presentation.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to dynamic optimization of system control over time. The need for dynamic optimization arises in many settings, as diverse as solar car power consumption during a multi-day race and retirement portfolio management. We disclose a reformulation of the control problem that overcomes the so-called “curse of dimensionality” and allows formulation of optimal control policies multiple period planning horizons. One optimal control policy is for power consumption by a solar car during a race, which involves many course segments, as course conditions vary through a day. Another is for risk in and consumption from a portfolio intended to support retirement. Both multi-period control policies take into account future uncertainty. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to analysis of trusts that have multiple beneficiaries whose interests mature in different time periods or under different conditions. In particular, we disclose automatic mapping of interests in one or more trusts, optionally subject to user confirmation, to long and short positions in financial or derivative interests that have expected payouts and costs that can be offset against underlying trust assets. The underlying assets and long and short positions in the mapped instruments can be attributed to various beneficiaries and subjected to various risk and investment analyses.