Universal Orbit

Universal Orbit is located in Los Angeles, United States on P.O. Box 360458. Universal Orbit is rated 3 out of 5 in the category capital markets in United States. <​U/O> Universal Orbit is an analytical resource for institutional investors utilizing publicly available information to improve peer group analytics and valuation. Methodology provides relative value investors an opportunity to build predictive financial models enabling more informed Buy/Sell/Hold decisions. • Investment universe coverage encompasses 18 industry groups based on MSCI and Standard & Poor’s Global Industry Classification Standard. Proprietary industry segments include Wind, Solar, Fuel Cells, Smart Grid, Water, LED, Geothermal, Biofuels, Automotive and Natural Gas composed of 67 classifications. • Portfolio management composites and related analytics via <​U/O> Applied Indexation demonstrate: 1) the importance of both standardized specific and descriptive nomenclature in fundamental benchmark index component member assignments, 2) period outperformance based on differentiated growth rates delineated by business segment operations within proprietary segment verticals (primary/secondary/tertiary classifications as determined), 3) capability to profile M&A based on common business segment operations and 4) development of portfolio strategies including clinical applications for long/short active/passive managers. • Layered Alpha screens distinguish Value in Growth companies, and Growth in Value, within classical [(Alpha)+(Alpha+Beta)+(Beta+(Beta))] portfolio configurations. • Analytical capabilities support: 1) identification of catalysts for corporate actions on a macro, sector, industry, subindustry and company-specific basis, 2) evaluation of capital structure and corporate financings (debt and equity), 3) impact analysis of sovereign, supranational, federal, state and municipal policies, 4) isolation of economic subcycles within greater cyclicalities, 5) solvency/liquidity assessments and 6) ability to address structural market data inefficiencies.