Abstract: A computer based system and method is directed to the determination of aggregate metrics of select financial indicators utilizing a protocol that preserves the confidentiality of the individual data sets comprising the aggregate metrics. The data processing system provides industry wide transparency of financial risk, concentration and the like based on data associated with individual firms free from risk of subsequent reverse determination of the underlying data.

Abstract: A computer based system and method is directed to the determination of aggregate metrics of select financial indicators utilizing a protocol that preserves the confidentiality of the individual data sets comprising the aggregate metrics. The data processing system provides industry wide transparency of financial risk, concentration and the like based on data associated with individual firms free from risk of subsequent reverse determination of the underlying data.

Abstract: The present invention provides for computer based systems and program controlled methods for reducing investors' exposure to the variability of an asset class's short-term volatility using long-short investing in a broad array of individual asset classes, with risk-controlled market exposures. This is achieved by constructing an index that employs a momentum portfolio policy, i.e. assets with prices that appear to be trending upward are held long, and those with prices that appear to be trending downward are sold short. This long-short policy is applied to each asset within broad asset class indices (equities, interest rates, commodities, and currencies), as well as within a multi-asset class composite index.

Abstract: Computer based systems and program controlled methods reduce investors' exposure to the variability of an asset class's short-term volatility using rules-based long-only investments in various asset classes in which portfolio weights are dynamically rebalanced on a regular basis to a desired target volatility. This is achieved, in part, by constructing an index that represents a portfolio of liquid futures contracts, rebalanced as often as daily with the objective of maintaining the portfolio's volatility at a given level, typically the long-term average risk of that asset class.

Abstract: A computer system is selectively programmed to support one or more investment portfolios that have applied to them a counter balancing investment so as to achieve and maintain a target sensitivity to one or more broad market parameters through dynamic multi-beta hedging. The computer system is programmed to process input data relating to a portfolio's expected volatility based on its broad market exposures and the volatility of these broad markets, a target portfolio volatility, and historical volatility performance over a selected interval, and based thereon, modify the portfolio so as to achieve a future volatility corresponding to the selected target.

Abstract: A computer system is selectively programmed to support one or more investment portfolios that have applied to them a counter balancing investment so as to achieve and maintain a target sensitivity to one or more broad market parameters through dynamic multi-beta hedging. The computer system is programmed to process input data relating to a portfolio's expected volatility based on its broad market exposures and the volatility of these broad markets, a target portfolio volatility, and historical volatility performance over a selected interval, and based thereon, modify the portfolio so as to achieve a future volatility corresponding to the selected target.

Abstract: A method for generating and maintaining a benchmark using a long/short investment strategy is disclosed herein. The method for generating and maintaining a benchmark using a long/short investment strategy may involve generating a benchmark by selecting a group of securities from a broad-base index; evaluating the securities included in a benchmark; and monthly rebalancing the benchmark using a long/short investment strategy. The method may also include determining the value of the index and publishing the value of the index as a benchmark for long/short investment portfolios. The value of the index may be determined periodically, daily, dynamically, or every 15 seconds. The securities included in the broad-base index may form a universe of eligible securities and be ranked monthly using the 10 Credit Suisse factors.

Abstract: A data processing system and method for developing predictions regarding future asset price movements, based on pattern detection in a time sequence of historical price data. The system includes computer implementation of a kernal regression to effect a smooth estimator of the non-linear price-time relationship. As tested against known patterns, the system provides an expectation regarding a future price movement.

Abstract: A data processing system and method for developing predictions regarding future asset price movements, based on pattern detection in a time sequence of historical price data. The system includes computer implementation of a kernal regression to effect a smooth estimator of the non-linear price-time relationship. As tested against known patterns, the system provides an expectation regarding a future price movement.