Abstract: A novel computer system implements an enhanced investment management approach that applies volatility data to generate a downside risk ratio. The calculations are used to support various trading/investment strategies that, when applied with select historical data, offer lower exposure and enhanced investment returns.

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 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 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. The index therefore is expected to exhibit relatively stable risk at all times when compared to the asset class's risk levels including during periods of high market volatility.

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.