Dexia Quant Equities World is managed on the basis of different quantitative models designed and tested in-house. These models are linked to a large database of more than 40 alpha factors with a history of more than 15 years. Alpha factors are factors which might generate an outperformance or alpha (price/earnings ratio, growth forecasts, profit revisions and so on).
On the basis of these factors, different models are developed for each sector in the major regions (USA, Europe, Japan), as well as for Canada and Australia. These models select the most attractive stocks in the investment universe. That selection is applied to the fund, taking account of limitations with regard to risk and turnover in the portfolio.
RBC Investor Services Bank S.A.
Global Branding Name
12 month yield
Net Assets Date
Manager 1 Name
Global Large-Cap Blend Equity
MSCI World NR USD
UCITS 3 compliant
Return - 1 Month
Return - 2 Months
Return - 3 Months
Return - 6 Months
Return - 9 months
Return - 12 Months
Annualized return 24 months
Annualized return 36 months
Annualized return 48 months
Annualized return 60 months
Return 120 months
Annualized return since Inception
Morning Star Rating Date
Morning Star Rating - 36 Months
Morning Star Rating - 60 Months
Morning Star Rating - Overall
Maximum Managment Charge
136, route d'Arlon
Fund Admin Group
RBC Investor Services Bank S.A.
Last Price Date
Price change (percentage)
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© 2010 - 2011 Morningstar UK Limited. All Rights Reserved. The information contained herein: (1) is proprietary to Morningstar and/or its content providers; (2) may not be copied or distributed; and (3) is not warranted to be accurate, complete or timely. Neither Morningstar nor its content providers are responsible for any damages or losses arising from any use of this information. Past performance is no guarantee of future results.
Links:  http://www.globalfunddata.com/funds/new/performance/management?variant=Candriam Luxembourg
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 http://www.globalfunddata.com/funds/new/performance/strategy?variant=Global Large-Cap Blend Equity
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