Risk cybernetics
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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]
