Mission, Methods and Measures

Mission Statement

Our mission is to deliver profitable trading recommendations for investing in the world's fastest growing emerging market economies and U.S. sectors.

A Unique Approach – The LatCAPM Method

The company was founded by Rudy Martin, former Director of Research for TheStreet.com Ratings and a 29-year veteran institutional analyst for major investment firms such as Fidelity Investments, Morgan Stanley Dean Witter and Transamerica. The small research team also includes seasoned analysts, financial experts and technologists who contribute to the LatCAPM Method, an innovative research process.

The LatCAPM Method utilizes dynamic asset allocation models. These models are considered dynamic because they instruct how to change your portfolio allocations over time between different asset classes, countries and sectors. Most importantly the models help the analysts discover the most significant macroeconomic and market factors that influence stock attractiveness. No other asset allocation tool contains this pioneering portfolio optimization capability for investing in Latin American, Chinese and other emerging market stocks.

But the ratings models are only part of the process for determining the recommendations.

The Latin Capital Market research analysts are trained to spot discontinuities in data and the company’s business outlooks. They talk with company management and competitors too. The combination of quantitative discipline with fundamental analyst’s insight and overview define the LatCAPM method and ultimate ratings recommendations.

Benchmarks

Our experience shows that each client determines their own benchmark based on time, financial resources and internal goals. We work with each corporate client to select a range of alpha-generating return candidates. Our most popular approach is the Relative to Universe Dividend Yield (RUDY ratio) which is crafted to outline value investing opportunities with less risk than the universe.

Learn more: Stock Ratings Distribution