Our client is a hedge fund (Fund) quickly transitioning from startup to growth mode. As a financial institution, they are reliant on accurate data and records for regulatory and brokerage requirements. Many of their trading decisions are based on quickly filtering through current news and data from various sources.
As a new startup, Fund used processes that were less efficient but easy to implement. As they have grown, these processes required improvements to allow them to be more efficient and make more timely trading decisions:
This initial approach worked for a small hedge fund with only a few employees, but as the fund grew, the executive team saw impediments to scale. They needed to automate internal systems to better leverage employee time for trade analysis and strategic discussion rather than manual process management.
The leadership team also wanted to improve their storage and analysis of historical data, which previously offered minimal opportunities to analyze their decision-making for systematic biases or missed opportunities.
After a comprehensive assessment and collaborative planning phase, the CorrDyn Team:
Fund has outperformed the HFRX Global Hedge Fund Index in each of the past five years, with a near-zero correlation with the S&P 500. Their fund has more than quadrupled in size over the course of those years, with only one additional hire added to maintain internal processes and data. The automation provided by CorrDyn has allowed Fund to reinvest resources into income producing staff and activities instead of overhead and administrative costs.