PRISM provides the tools required to analyze public funds. With PRISM, users can create specific profiles for strategies; collect and analyze strategy data and integrate it into the overall portfolio. Users can collect information related to the strategy’s investment policy, description, portfolio construction, risk controls, trading strategy, fees, liquidity and team information.
PRISM has advanced data load processes and data entry forms to collect performance, market value and holdings data. We can also collect holdings data for both separate accounts and commingled fund investments. Having access to holdings allows PRISM the ability to calculate economic exposure of a security across all investments for the entire portfolio.
PRISM offers both returns and holdings based analysis.
Many systems offer analytics that have a single focus, such as risk, or only holdings based or returns based analytics. Unlike other systems, PRISM has the ability to analyze portfolios and investments in multi-dimensional ways. Besides traditional risk/return analysis, PRISM also offers factor based analysis. Additionally, due to PRISM’s flexible design, users can determine the performance periods and benchmarks at any level of an investment (e.g. individual investments or aggregate levels based on policy or asset class for example). PRISM can calculate absolute performance as well as relative to benchmarks for both liquid and illiquid investments, and perform risk and statistical analysis on the returns and holdings.
PRISM is like having extra hands
PRISM combines all of the oversight tools you need in one flexible, user friendly platform allowing fiduciaries and asset allocators to more effectively use their available resources and maximize their time to focus on the value-added activities.
Allow PRISM to be your everyday operational assistant to manage all of your oversight activities.
Due to PRISM’s flexible design, users can determine the performance periods and benchmarks at any level of an investment (e.g. individual investments or aggregate levels based on policy or asset class for example). PRISM can calculate absolute performance as well as relative to benchmarks for both liquid and illiquid investments, and perform risk and statistical analysis on the returns and holdings.
PRISM has an advanced multi-factor regression tool which can regress a portfolio or individual invesment against any number of factors to identify all of the beta exposures and alphas. Using the factor model, it breaks down the risk component across various factors. There are four different methods of regression that can be utilized to calculate contribution to risk utilizing either ETL or standard deviation.
Attribution analysis is a critical part of understanding the effectiveness of asset allocation and investment selection decisions. PRISM utilizes both Brinson and Regression models to break down the allocation, selection and interaction effects at either the portfolio/composite level or the individual investment level.
Asset data is utilized to determine attribution of various variables (e.g. size, growth, momentum, sector, country, currency etc.) either for a single period or for multiple periods. The Brinson model can be utilized to run attribution for a single variable while the regression model can be used against multiple variables simultaneously.
PRISM has a built in optimizer to aid with your asset allocation needs. After users specify their constraints, the optimizer will provide solutions that maximize your portfolios utility. The optimizer guides you through the process in a user friendly way, allowing you to find an asset allocation solution to meet your risk/return goals. Currently, optimization can be completed using either mean variance or CVaR.
Run optimization for both active investments that are currently part of portfolio as well as including prospective investments to understand the allocation effect of prospective managers. Construct portfolio allocation for your expected risk/return criteria.