MJ Hudson acquires PERACS Group
4th January 2021
Corporate Team continue busy final quarter of 2020
Corporate lawyers at Walker Morris have advised AIM-listed, MJ Hudson Group plc (AIM:MJH), the international asset management consultancy, on the acquisition of the entire issued share capital of fund performance analytics specialist, Prof Gottschalg UG and its subsidiary PERACS GmbH.
Founded in 2005 by Professor Oliver Gottschalg, a highly respected private equity consultant, entrepreneur, and academic, PERACS Group offers investors and asset managers in the alternative assets industry a set of proprietary tools to produce authoritative metrics and insights into the performance of funds. Its clients are investors and alternative assets fund managers, based primarily in Northern Europe and North America.
Head of Corporate, John Hamer, led the Walker Morris team, which worked alongside the MJ Hudson internal legal team.
Commenting on the deal John Hamer said:
“The acquisition is great news for all the parties involved. The addition of PERACS will further strengthen MJ Hudson’s existing Data & Analytics service offering, while providing PERACS with significant opportunities for growth.
“It comes on the back of a busy end to 2020 for the Walker Morris Corporate Team having advised on 19 deals in Q4 with an aggregate deal value in excess of £700m, a trend we expect to continue as we move into the first quarter of 2021.”
Odi Lahav, Group COO and head of MJ Hudson´s Data & Analytics division, said:
“We are delighted that Professor Gottschalg and the team have decided to join the Group. He is well known to the senior management here and we’ve followed his firm´s progress with great interest for a number of years.
“We believe that adding the PERACS proprietary suite of fund analytics to the MJ Hudson Data & Analytics offering will be very beneficial to our clients and enhances our ability to bring clarity and understanding to the alternative investment industry. Looking ahead, the deal also helps us to power the next generation of analytical software tools for our clients, by combining machine learning techniques that we’re developing with the more traditional industry standards and the latest academic research.”
