Markov Processes International

Markov Processes International, Inc. (MPI) Is a provider of investment research, analytics and technology, used by organizations throughout the financial services industry, including: alternative research groups, hedge funds,[1] hedge fund of funds, family offices, institutional investors, consultants, private banks, asset managers, investment advisors and private wealth professionals.

Markov Processes International, Inc.
TypePrivate
Founded1990
FoundersMichael Markov, Mik Kvitchko
Based inGreater New York City Area, United States
IndustryFinancial services
Financial software
Websitewww.markovprocesses.com

MPI's quantitative platform, Stylus Pro, analyzes hedge funds, mutual funds, portfolios and other investment products, in addition to providing asset allocation and portfolio optimization technology tools.[2]

History

Michael Markov and Mik Kvitchko developed the first returns-based style analysis (RBSA) software application based on Nobel Laureate William F. Sharpe's methodology. RBSA can be used to identify combinations of passive investments to closely replicate the performance of funds.

MPI's flagship software product, Stylus, is for research and reporting.

MPI developed the first visual manager search application, Enterprise Prospector, which can be used to create custom statistics, performance measures, peer groups and investment product rating systems. Four years later, MPI introduced the first Dynamic Style Analysis (DSA) model, an advanced methodology for returns-based analysis of hedge funds. DSA featured a proprietary cross validation technique, Predicted R-Squared. In 2008, MPI released its patent-pending Calibrated Frontiers methodology, an innovative and robust approach to portfolio resampling. Two years later, MPI released the new Stylus Web with “plan level” reporting functionality.

References

  1. "Hedge fund", Economic Times, 2023-07-25, retrieved 2023-08-01
  2. "MPI Releases Stylus Pro Version 10.0". www.businesswire.com. 2011-12-20. Retrieved 2023-08-01.
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