BlackRock Strategic Funds - Style Advantage Fund A2 USD
23F,No.207,Sec.2,Dunhua S.Rd , Taipei 106
,Lead Manager since February 29, 2016
Dr. Hodges, PhD, Managing Director, is Chief Investment Officer for BlackRock’s Factor-Based Strategies Group. Dr. Hodges is responsible for delivering investment performance and driving innovation for BlackRock’s factor investment platform, including the firm’s flagship macro and style factor strategies, Market Advantage and Style Advantage. The group optimizes factors to help meet investment outcomes, such as retirement savings, factor advisory mandates and bespoke factor solutions, and develops factor analytics tools leveraging BlackRock’s Aladdin platform. Dr. Hodges’ service with the firm dates back to 2007, including his years with Barclays Global Investors (BGI), which merged with BlackRock in 2009. Previously, Dr. Hodges has served as a research officer within the Client Solutions group in San Francisco and a quantitative analyst within the Liability Driven Investment team in London. Prior to joining BGI, Dr. Hodges was a post-doctoral research associate in physical chemistry at the University of Oxford and University Lyon I. Dr. Hodges earned a MChem degree in chemistry and a D.Phil. in molecular spectroscopy from the University of Oxford in 2002 and 2006, respectively.
Morningstar Style Box
Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund.
While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.