Vitali Kalesnik

from Huntington Beach, CA

Vitali Kalesnik Phones & Addresses

    s
  • 16964 Edgewater Ln, Huntington Beach, CA 92649

Work

  • Company:
    Research affiliates
  • Position:
    Vp

Education

  • Degree:
    Ph.D.
  • School / High School:
    University of California, Los Angeles
    2001 to 2006
  • Specialities:
    Economics

Industries

Financial Services

Resumes

Vitali Kalesnik Photo 1

Vp At Research Affiliates

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Position:
VP at Research Affiliates
Location:
Orange County, California Area
Industry:
Financial Services
Work:
Research Affiliates
VP
Education:
University of California, Los Angeles 2001 - 2006
Ph.D., Economics

Us Patents

  • Equity Income Index Construction Transformation System, Method And Computer Program Product

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  • US Patent:
    20160358264, Dec 8, 2016
  • Filed:
    Aug 5, 2016
  • Appl. No.:
    15/229129
  • Inventors:
    - Newport Beach CA, US
    Jason Hsu - Newport Beach CA, US
    Vitali Kalesnik - Newport Beach CA, US
    Feifei Li - Newport Beach CA, US
    Robert D. Arnott - Newport Beach CA, US
  • Assignee:
    Research Affiliates, LLC - Newport Beach CA
  • International Classification:
    G06Q 40/06
    G06Q 40/02
    G06Q 40/04
  • Abstract:
    A computer data processing system, method and/or computer program product can include a memory coupled to the special purpose processor, the processor configured to: receive electronically, by a special purpose index calculator computer device processor, a universe of publicly traded companies; receive electronically from an electronic data source a plurality of metrics relating to the publicly traded companies, comprising: corporate action data, price data, foreign exchange data, and fundamental financial metric data; combine the plurality of metrics to calculate: a robustness ranking; a dividend yield percentile ranking; and a noncapitalization weighting for the publicly traded companies use the combined metric data to at least one of: a) electronically select or weight constituents of an index based on the combined data; b) electronically select or weight a portfolio of financial objects based on the combined data; or c) electronically allocate assets in a portfolio based on the combined data.

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