STORM50 2021

This, the inaugural STORM50 ranking and analysis, focuses on the computational infrastructure and algorithmic efficiency of the vast array of technology tools used across the financial services industry. In this report we explore specific aspects and dynamics of the STORM landscape, and identify its leading vendors.

This, the inaugural STORM50 ranking and analysis, focuses on the computational infrastructure and algorithmic efficiency of the vast array of technology tools used across the financial services industry.

Structural transformations in the past few years have produced novel statistical modeling approaches (such as machine/deep learning and a range of heuristics) that are now foundational elements of the computing and modeling landscape. The intersection of process, technology, new regulations and new modeling methodologies has driven a structural shift toward a more systemic, industrialized modeling sector. In essence, a new discipline is emerging: ’algorithmic engineering in finance’.

In that context, we focus on the following key areas for our new research:

Statistical Techniques.

Optimization frameworks.

Risk Models (of all types).

…or STORM for ease of reference.

The term ‘revolution’ is often overused in the context of technological change; nevertheless, we believe that the ongoing process we have identified is indeed revolutionary. In this report, its updates, and a series of planned reports that will explore specific aspects and dynamics of the STORM landscape, we will document the ongoing revolution, and identify the vendors that are at its leading edge.

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