GoldenSource launches Quant Workbench solution
17 September 2020 London
Image: Trace/Adobe Stock
GoldenSource has launched a new Quant Workbench tool that enables financial institutions to better leverage their data by running superior analytics and quantitative research directly on best available reference and pricing data.
The new solution expands on GoldenSource’s existing data management system so that financial institutions can allow their quant developers and research analysts to do their work on approved validated data sources.
As part of the Quant Workbench, GoldenSource will also provide sample calculations covering both buy side and sell side use cases.
For example, on the sell side, the tool allows quants to build volatility surface models that are required for valuations and risk management of options portfolios.
On the buy side, the tool can be used for portfolio risk and optimisation techniques such as capital asset pricing model (CAPM) and factor-based returns optimisation, according to GoldenSource.
Commenting on the new solution, Charlie Browne, head of market data and risk solutions division at GoldenSource, said: “Regulatory pressures and the need to improve investment returns are pushing firms to seek out alternative ways to leverage their data. Our Quant Workbench tool will allow both banks and asset managers to enhance their existing data management programmes to include quant and analytics capabilities.”
Browne added: “Portfolio data, investment factors and curves, surfaces, risk factors and historical time-series can now all be sourced by quants and data scientists from a single location using a single integrated development environment, dramatically reducing costs as a result.”
The new solution expands on GoldenSource’s existing data management system so that financial institutions can allow their quant developers and research analysts to do their work on approved validated data sources.
As part of the Quant Workbench, GoldenSource will also provide sample calculations covering both buy side and sell side use cases.
For example, on the sell side, the tool allows quants to build volatility surface models that are required for valuations and risk management of options portfolios.
On the buy side, the tool can be used for portfolio risk and optimisation techniques such as capital asset pricing model (CAPM) and factor-based returns optimisation, according to GoldenSource.
Commenting on the new solution, Charlie Browne, head of market data and risk solutions division at GoldenSource, said: “Regulatory pressures and the need to improve investment returns are pushing firms to seek out alternative ways to leverage their data. Our Quant Workbench tool will allow both banks and asset managers to enhance their existing data management programmes to include quant and analytics capabilities.”
Browne added: “Portfolio data, investment factors and curves, surfaces, risk factors and historical time-series can now all be sourced by quants and data scientists from a single location using a single integrated development environment, dramatically reducing costs as a result.”
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