OREANDA-NEWS. SS&C Technologies Holdings, Inc. (Nasdaq:SSNC), a global provider of financial services software and software-enabled services, today announced Doherty & Associates, a leading private investment management firm based in Ottawa, Canada, has selected SS&C to support its Client Relationship Model - Phase 2 (CRM2) requirements. The Canadian Securities Administrators (CSA) designed the CRM2 reforms to improve the transparency of investment results to retail investors.

The next phase of CRM2, which comes into effect in July 2016, requires significant changes in the areas of performance reporting. The most challenging part of the CRM2 process for Doherty & Associates is the development and testing of the new performance reports. "As part of this - we have had to incorporate a new method of calculating returns - the dollar-weighted method," says Chris Stuart, Vice President, Operations, Doherty & Associates Ltd. "Doherty & Associates has a long-standing relationship with SS&C as its core technology provider. The fact that we can get everything we need from a single vendor as a hosted solution made SS&C the only real choice for this important project."

Under the CRM2 initiative, a dollar-weighted return is required. This is designed to provide clients more accurate returns than the traditional time-weighted calculation method. The increased complexity of calculating dollar-weighted returns requires more computing power, requiring a solid performance engine to help to calculate those returns.

"We are honored Doherty & Associates has selected us to meet this critical regulatory requirement," said Bill Stone, Chairman and Chief Executive Officer, SS&C Technologies. "As a leader in performance measurement, attribution and regulatory compliance, with more than 180 customers globally, we are uniquely positioned and operationally-geared to help meet CRM2 compliance. Our technology solutions, whether installed, hosted or outsourced, supply much of this data in daily, weekly or monthly reports. Doherty & Associates will now be able to efficiently gather data, then calculate and distribute performance reports."