EPFR , a subsidiary of Informa Financial Intelligence and a global industry leader in providing data on fund flows and allocations to financial institutions, introduces its new data set called ” Hedge Fund Flows ”. This new offering applies EPFR’s core competence in a combined database between EPFR and its partner, Backstop BarclayHedge, providing clients with investment information from a particularly discreet type of investor.
The dataset provides cash flow calculations without an estimate at the fund level. It offers precise statistics on investor sentiment and hedge fund activity, along with granularity for better insight. Coupled with EPFR’s mutual fund and ETF data, which tracks $ 48 trillion in global capital flows, the Hedge Fund Flows dataset gives investors a more comprehensive view of the market drivers driving global capital flows. investment and risk management decisions.
“Our clients have expressed significant interest in speculative flow analysis and we are pleased to bring the Hedge Fund Flows dataset to market, with the support of our Backstop partner BarclayHedge,” said Cameron Brandt, director of research at EPFR. “EPFR is known for empowering investors with up-to-date fund flows and allocation information. This new offering continues this mission, helping clients make smarter investment decisions. ”
BarclayHedge has been collecting data on the performance of speculative flows for over 30 years and is recognized as a trusted source of fund performance information, helping grant recipients to better choose funds.
“Providing our clients with benchmarks and analysis of hedge fund performance is at the heart of our business,” said Sol Waksman, President of Backstop BarclayHedge. “We are delighted to be working with EPFR to better serve the broader investment community with this new set of fund flow data. EPFR is renowned for being a market leader and is a valuable partner for the launch of this new product. ”
Hedge Fund Flows is the latest addition to a suite of offerings that includes EPFR’s Fund Flows and Allocations, China Share Class Allocations, and FX Allocations datasets.