Editing Amundi Index Equity Global Multi Smart Allocation Scientific Beta

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* General description of the Index  
* General description of the Index  


Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index is an equity index made of equities from the universe of mid and large-cap markets of developed countries. Its objective is to generate a higher return than the universe of large and mid-cap developed market equities (Global universe) weighted by market capitalisation. The index applies several security selection filters to this Global Universe and several weighting systems to obtain a composition aiming to achieve this objective. The Index is a Net Total Return Index: dividends net of tax paid by the index constituents are included in the Index return.  
Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index is an equity index made of equities from the universe of mid and large-cap markets of developed countries. Its objective is to generate a higher return than the universe of large and mid-cap developed market equities (Global universe) weighted by market capitalisation. The index applies several security selection filters to this Global Universe and several weighting systems to obtain a composition aiming to achieve this objective. The Index is a Net Total Return Index : dividends net of tax paid by the index constituents are included in the Index return.  


* Index currency: Euro  
* Index currency: Euro  
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The Global Universe comprises large- and mid-cap developed market equities. In order to optimise the liquidity of the Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index, the securities selected within this Global Universe are those of companies in countries that:  
The Global Universe comprises large- and mid-cap developed market equities. In order to optimise the liquidity of the Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index, the securities selected within this Global Universe are those of companies in countries that:  


* have a recent history with the highest volume and frequency of trading; and
* have a recent history with the highest volume and frequency of trading and
* have the largest float market caps compared to all the securities in the underlying investment universe.  
* have the largest float market caps compared to all the securities in the underlying investment universe.  


The securities of the companies used therefore comprise the Benchmark Universe, which includes approximately 2,000 securities (hereinafter “the 2000 securities”).  
The securities of the companies used therefore comprise the Benchmark Universe, which includes approximately 2000 securities (hereinafter “the 2000 securities”).  


Four security selection filters are applied to the Benchmark Universe to create sub-indices:
Four security selection filters are applied to the Benchmark Universe to create sub-indices:


* “Valuation” criterion: from the 2,000 securities in the Benchmark Universe, 50% of those with the lowest market valuations are selected, i.e. those with the highest valuation ratio (book value of the company divided by its market value);
* “Valuation” criterion: from the 2000 securities in the Benchmark Universe, 50% of those with the lowest market valuations are selected, i.e. those with the highest valuation ratio (book value of the company divided by its market value)
* “Size” criterion: from the 2,000 securities in the Benchmark Universe, 50% of those with the smallest stock market capitalisation are selected;
* “Size” criterion: from the 2000 securities in the Benchmark Universe, 50% of those with the smallest stock market capitalisation are selected
* “Momentum” criterion: from the 2,000 securities in the Benchmark Universe, 50% of those with the highest returns over the 12 months preceding selection are selected (the return taken into account is equal to the performance of the security with dividends reinvested);
* “Momentum” criterion: from the 2000 securities in the Benchmark Universe, 50% of those with the highest returns over the 12 months preceding selection are selected (the return taken into account is equal to the performance of the security with dividends reinvested)  
* “Volatility” criterion: from the 2,000 securities in the Benchmark Universe, 50% of those with the lowest volatility over the 12 months preceding selection are selected.
* “Volatility” criterion: from the 2000 securities in the Benchmark Universe, 50% of those with the lowest volatility over the 12 months preceding selection are selected


Each of those four selections of approximately 1,000 securities constitutes a sub-index.  
Each of these four selections of approximately 1000 securities constitutes a sub-index.  


Five weighting methods are applied to the securities comprising each of those four sub-indices:  
Five weighting methods are applied to the securities comprising each of these four sub-indices:  


* Maximum Deconcentration: strategy consisting of attributing an identical weighting to each constituent (equal weighting);
* Maximum Deconcentration: strategy consisting of attributing an identical weighting to each constituent (equal weighting)
* Maximum Decorrelation: strategy consisting of attributing a weighting to each constituent calculated on the basis of a correlation matrix. The aim is to minimise the portfolio’s expected volatility assuming that the individual volatility of securities is identical;
* Maximum Decorrelation: strategy consisting of attributing a weighting to each constituent calculated on the basis of a correlation matrix. The aim is to minimise the portfolio’s expected volatility assuming that the individual volatility of securities is identical
* Risk diversification (“Diversified Risk Weighted”): strategy consisting of attributing a weighting to each constituent that enables it to contribute equally to the total risk of the sub-index measured by its historical volatility over the 12 months preceding selection;
* Risk diversification (“Diversified Risk Weighted”) : strategy consisting of attributing a weighting to each constituent that enables it to contribute equally to the total risk of the sub-index measured by its historical volatility over the 12 months preceding selection
* Minimum Volatility (“Efficient Minimum Volatility”): strategy consisting of attributing a weighting to each constituent calculated on the basis of historical volatility and of its correlation with the other components over the 12 months preceding selection in order to minimise the portfolio’s expected volatility;
* Minimum Volatility (“Efficient Minimum Volatility”): strategy consisting of attributing a weighting to each constituent calculated on the basis of historical volatility and of its correlation with the other components over the 12 months preceding selection in order to minimise the portfolio’s expected volatility
* Maximisation of the Sharpe ratio (“Efficient Maximum Sharpe ratio”): strategy consisting of attributing a weighting to each constituent based on its contribution to the expected Sharpe ratio. The constituents that contribute the most to the expected Sharpe ratio are weighted relatively higher than those that contribute the least to this objective. The Sharpe ratio measures the return compared to the risk taken, with risk measured by volatility over the 12 months preceding selection.
* Maximisation of the Sharpe ratio (“Efficient Maximum Sharpe ratio”): strategy consisting of attributing a weighting to each constituent based on its contribution to the expected Sharpe ratio. The constituents that contribute the most to the expected Sharpe ratio are weighted relatively higher than those that contribute the least to this objective. The Sharpe ratio measures the return compared to the risk taken, with risk measured by volatility over the 12 months preceding selection.


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* the WM Reuters closing (16:00 GMT) exchange rates.  
* the WM Reuters closing (16:00 GMT) exchange rates.  


Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index value is available via Bloomberg. At the date of the prospectus, the ticker is: SBDXRHMN.
Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index value is available via Bloomberg. At the date of the prospectus, the ticker is: SBDXRHMN


The performance tracked is the closing price of the Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index.
The performance tracked is the closing price of the Scientific Beta Developed Multi-Beta Multi-Strategy Four-Factor ERC Index  


SciBeta index methodology, composition, revision rules and additional information concerning the Index underlying components are available on scientificbeta.com.
SciBeta index methodology, composition, revision rules and additional information concerning the Index underlying components are available on scientificbeta.com.
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The Sub-Fund does not integrate a consideration of environmentally sustainable economic activities (as prescribed in the Taxonomy Regulation) in its management process. Therefore, for the purpose of the Taxonomy Regulation, it should be noted that the investments underlying the Sub-Fund do not take into account the EU criteria for environmentally sustainable economic activities.  
The Sub-Fund does not integrate a consideration of environmentally sustainable economic activities (as prescribed in the Taxonomy Regulation) in its management process. Therefore, for the purpose of the Taxonomy Regulation, it should be noted that the investments underlying the Sub-Fund do not take into account the EU criteria for environmentally sustainable economic activities.  


'''German Investment Tax Act:''' At least 60% of the sub-fund’s net asset value is continuously invested in equities listed on a stock exchange or traded on an organized market. For the sake of clarity, investments in Real Estate Investment Trusts (as such term is defined by the German Ministry of Finance) and UCITS or UCIs are not included in this percentage.  
'''German Investment Tax Act:''' At least 60% of the sub-fund’s net asset value is continuously invested in equities listed on a stock exchange or traded on an organized market. For the sake of clarity investments in Real Estate Investment Trusts (as such term is defined by the German Ministry of Finance) and UCITS or UCIs are not included in this percentage.  


=== Tracking Error ===
=== Tracking Error ===
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The sub-fund may appeal to investors who:  
The sub-fund may appeal to investors who:  


* are interested in investment growth in the long term;
* are interested in investment growth in the long term
* are looking to replicate the performance of the Index while accepting its associated risks and volatility;
* are looking to replicate the performance of the Index while accepting its associated risks and volatility
* are interested in investment growth in the long term while diversifying a portfolio by adding “Smart Beta” developed countries equity exposure.
* are interested in investment growth in the long term while diversifying a portfolio by adding “Smart Beta” developed countries equity exposure


'''Business day:''' Any day that is a day when Euronext Paris is fully open.  
'''Business day:''' Any day that is a day when Euronext Paris is fully open.  
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