Systems and methods for creating indicators to quantify and index financial market liquidity risk that is market-wide among a broad set of securities or asset classes or portfolio specific relative to an individual investor's portfolio holdings. A liquidity risk index can be created as a counterpart to any well-known market index, such as the Dow Jones Industrial Average® or the S&P 500® index. The present disclosure relates to risk management in financial markets, and in particular to systems and methods for quantifying and indexing liquidity risk such that these indices can serve as underlying assets for futures, options, or other financial instruments that investors would use to hedge against the liquidity risk.

Systems and methods for creating indicators to quantify and index financial market liquidity risk that is market-wide among a broad set of securities or asset classes or portfolio specific relative to an individual investor's portfolio holdings. A liquidity risk index can be created as a counterpart to any well-known market index, such as the Dow Jones Industrial Average® or the S&P 500® index. The present disclosure relates to risk management in financial markets, and in particular to systems and methods for quantifying and indexing liquidity risk such that these indices can serve as underlying assets for futures, options, or other financial instruments that investors would use to hedge against the liquidity risk.

Multiple insurance policies may be grouped or segmented into affinity groups, each of which corresponds to a respective risk level. A set of one or more financial instruments corresponding to a particular affinity group of insurance policies may be created and offered. One or more parties may be procured as investors in at least a portion of the set of financial instruments, thereby securitizing the risk associated with the insurance policies. Profits and/or losses generated by the insurance policies of the affinity group corresponding to the financial instruments may be distributed in accordance with the terms of the financial agreement.

Multiple insurance policies may be grouped or segmented into affinity groups, each of which corresponds to a respective risk level. A set of one or more financial instruments corresponding to a particular affinity group of insurance policies may be created and offered. One or more parties may be procured as investors in at least a portion of the set of financial instruments, thereby securitizing the risk associated with the insurance policies. Profits and/or losses generated by the insurance policies of the affinity group corresponding to the financial instruments may be distributed in accordance with the terms of the financial agreement.

At least some embodiments are directed to a prediction system of software objects. The prediction system predicts a first aspect of a user profile utilizing a categorization machine learning model and a user activity profile, the user profile and the user activity profile are associated with a user. The user activity profile comprises a plurality of values associated with demographics and historical activity data of the user. The prediction system predicts a software object associated with the user profile utilizing an optimization machine learning model, the first aspect of the user profile, and a second aspect of the user profile. The software object is optimized with respect to at least one competitive interest between the user associated with the user profile and an entity associated with the software object. The prediction system outputs the software object to a client computing device of the user.

A method, apparatus and computer program product are provided for validating electronic distribution transactions and reducing non-compliant electronic distribution transactions. A distribution application enables users to enter details relating to a retirement account distribution. A tax service integrated with the distribution application provides scenario-specific tax withholding information, and enforces relevant tax withholding rules. A user provides withholding information and the system ensures compliance by validating the transaction against the withholding rules. The system displays to the user any errors that need to be corrected, and a breakdown of the proceeds from the transaction. The tax service is implemented remotely from the distribution application so that changing tax regulations may be implemented into the tax service without impacting the distribution application. The tax service may utilize a customer's state of residence, age (and/or date of birth), and citizenship status to calculate and validate tax withholding information and required minimum distribution rules.

A method, apparatus and computer program product are provided for validating electronic distribution transactions and reducing non-compliant electronic distribution transactions. A distribution application enables users to enter details relating to a retirement account distribution. A tax service integrated with the distribution application provides scenario-specific tax withholding information, and enforces relevant tax withholding rules. A user provides withholding information and the system ensures compliance by validating the transaction against the withholding rules. The system displays to the user any errors that need to be corrected, and a breakdown of the proceeds from the transaction. The tax service is implemented remotely from the distribution application so that changing tax regulations may be implemented into the tax service without impacting the distribution application. The tax service may utilize a customer's state of residence, age (and/or date of birth), and citizenship status to calculate and validate tax withholding information and required minimum distribution rules.

Systems and methods for creating indicators to quantify and index correlation risk that is market-wide among a broad set of asset classes or portfolio specific relative to an investor's portfolio holdings. The present disclosure relates to risk management in financial markets, and in particular to systems and methods for quantifying and indexing correlation risk such that these indices can serve as underlying assets for futures and options or other financial instruments that investors would use to hedge against the risk.

Systems and methods for creating indicators to quantify and index correlation risk that is market-wide among a broad set of asset classes or portfolio specific relative to an investor's portfolio holdings. The present disclosure relates to risk management in financial markets, and in particular to systems and methods for quantifying and indexing correlation risk such that these indices can serve as underlying assets for futures and options or other financial instruments that investors would use to hedge against the risk.

A disclosed system, method and computer readable storage medium includes mechanism for controlling cascade price movements in an electronic trading system. Price limits control the prices at which traders can place orders. An upper price limit prevents traders from placing orders above the upper limit and a lower price limit prevents traders from placing orders below the lower limit. The gap between the upper limit and the indicative marked price as well as the gap between lower limit and the indicative market price is controlled so as to cause a breaking effect on very rapidly changing market price.