NEW YORK, Jan. 26, 2017 /PRNewswire/ -- PortfolioScience, a leading provider of on-demand risk management systems, today announced release of its Factor Index Construction Toolset, available via the company's RiskAPI® Enterprise platform. This new feature allows users to dynamically construct factor indexes based on dozens of fundamental, technical, and statistical metrics. In addition to several highly customizable index construction methodologies, the system also provides detailed index constituent quantile analysis, allowing users to inspect and understand constituent behavior and contribution to construction, valuation, and historical performance.
"The RiskAPI factor index toolset allows users to fully control the valuation and construction process of factor indexes critical to exposure analysis," said Ittai Korin, PortfolioScience's founder and President. "Rather than having to purchase and use a pre-determined, fixed-methodology index, users can now control a wide array of index construction parameters, allowing them to quickly generate historical data and analysis for any of several customized factor indexes, on-demand."
Factor investing has become a broadly implemented portfolio management practice. Many buy-side organizations rely on factor indexes and exposure analysis based on factor indexes to construct portfolios, manage risk, and make trade decisions.
PortfolioScience specializes in risk management technology for financial institutions, investment services, financial advisors, and hedge funds. The company's products allow fund managers, traders, and investors alike to access powerful risk analysis capabilities on demand. PortfolioScience creates turn-key risk management systems for institutional financial services, allowing them to provide their clients with portfolio risk analysis services virtually overnight. Founded in 2000, PortfolioScience serves clients globally, spanning the brokerage, fund administrator, hedge fund, and mutual fund industries.
For more information: Ray Millman, Sales, 212.260.9694 x19, www.portfolioscience.com
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