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Pilot application to model enterprise risks cuts computation time from 10 years to 30 minutes Print this page
Deutsche Börse has completed a pilot study into the application of quantum computing to calculate proprietary business risks, in a use case that could enter full production within the next three years, according to independent experts.
A study published today (March 10), co-authored by Carsten Schäfer – the exchange’s risk manager for business risk and IT operational risk and a supervisory board member – and fintech firm JoS Quantum, describes a quantum computation for risk sensitivity analysis
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Monte Carlo Simulation (MCS) is a technique used to explore possible outcomes and their probability. It can be applied in areas such as market sizing, customer lifetime value measurement and can also be used to manage customer relationships.
It involves integrating a number of components to provide a model enabling you to conduct risk analysis. It does so by considering a range of possible outcomes, before calculating how likely it is that each particular outcome will happen.
What do you need in order to run an MCS?
To run a Monte Carlo simulation, a mathematical model of your data is needed – for example, a spreadsheet. Within this data, there must be one or more outputs that you’re interested in measuring, for example profit.
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The Board of SolGold (LSE and TSX code: SOLG) is pleased to advise all shareholders and interested investors of the release of the Company s interim financial results for the half year ended 31 December 2020. The interim financial report is included as part of this announcement. Further, the Board advises shareholders and interested investors that the Company s website also contains access to additional information required to be filed on SEDAR in Canada in connection with the Company s quarterly financial period ended 31 December 2020. This additional information is available in the Financial Reports section of the Investor Centre on the Company s website: www.solgold.com.au