First Allied Asset Management is using SAS Business Analytics to help its advisors make better recommendations to high net-worth clients by using visual analytical models of exchange traded funds, individual stock, sectors and top 1,000 stocks.
The full-service broker-dealer, with $1.1 billion in client holdings, has a registered investment advisor division, a wealth management offering, insurance services and pension services businesses, with 500 branches in the United States.
According to Jeff Mindlin, chief portfolio strategist at First Allied, who leads the asset management division, the qualities SAS offer are important for investment decisions. First Allied also used SAS Business Analytics for risk management.
"We run our portfolios through proprietary SAS models to identify potential risk exposure, beta and corrections to stocks, bonds and commodities, and more granular size, sector, style, country, credit, and interest rate exposures and so forth," says Mindlin in a release. "We can see if our portfolio risks align with our market outlook and themes."
Since First Allied's investment officer is a chartered market technician, most charts and patterns must be turned into SAS models to identify measures he focuses on, says Mindlin. "We're running a very deep set of calculations and metrics across numerous periodicities," comments Mindlin. "We can see if out portfolio ricks align with our market outlook and themes."
"To successfully support critical decisions on behalf of clients, analytics helps global and regional capital markets firms to quickly glean unique insights from big data," adds David M. Wallace, Global Financial Services Marketing Manager at SAS.
SAS is used at over 65,000 sites in over 135 countries. Zarna Patel is a staff writer for InformationWeek's Financial Services brands, which include Bank Systems & Technology, Insurance & Technology and Wall Street & Technology. She received her B.A. in English and journalism from Rutgers University College of Arts and Sciences in ... View Full Bio