Risk cybernetics

Risk-Cybernetics by Finamatrix (Author: Dr Lanz Chan) is a combination of risk management, risk specification and risk control techniques using advanced human thought processes, artificial intelligence and computing technologies with circular-causal volatility-feedback in a Genetic-Algorithm Neural-Network (GANN) framework. More generally, Risk Cybernetics refers to risk management techniques which combine human and computer capabilities and functions in a circular-causal network/system. The objective of Risk Cybernetics is to achieve self-learning, self-enhancing and full-automation capabilities so as to obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial time series, cyber security measures, etc.[1] [2]

References

  1. ↑ "Research and Markets: RISK CYBERNETICS: Training Manual Version 1.0". Reuters. Feb 1, 2011. Retrieved 2013-05-17.
  2. ↑ "Automated Trading with Genetic-Algorithm Neural-Network Risk Cybernetics: An Application on FX Markets". SSRN. Feb 20, 2012. Retrieved 2013-06-16.
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