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SG European Machine Learning Long Short Equity Index

Index level: 165.41 as of 18/10/2019

Main characteristics

Bloomberg Code SGEPMLEU
Inception Date 19/04/2019
Return Type Excess Return
Currency EUR
Calculated By Singapore Exchange Limited

Objective

The SG European Machine Learning Long Short Equity Index  aims to provide a hypothetical exposure to the performance of a basket of two Underlying SGI Indices. Each Underlying SGI Index is composed of a hypothetical basket of European stocks determined, on a regular basis, according to a machine learning algorithm

Mechanism

The Index is composed of a basket of two Underlying SGI Indices. The weight of each Underlying Basket Component is systematically reset on a monthly basis.


The SG European Machine Learning Long Short Equity Index  is the property of Société Générale. Singapore Exchange Limited and its affiliates (collectively, the “ SGX Group Companies”) each expressly excludes any guarantee, warranty, condition, term, undertaking or representation of any kind, express or implied, statutory or otherwise, in relation to the Custom Indices, the methodology and the components of a Custom Index which may include, but is not limited to, constituent level data such as futures prices, shares outstanding, investable weight factor, and fundamental data such as price/earnings ratios and/or other financial ratio, including calculation of the Custom Indices (“ Underlying Data”) or values of the Custom Indices (“ Index Values”). In no event whatsoever shall any of the SGX Group Companies be liable or responsible for any damages or loss of any kind, even if they have been advised of the possibility of such damages or loss, whether in contract, tort (including negligence), strict liability or otherwise and whether direct, indirect, special, incidental, punitive, consequential, economic loss or any kind (including but not limited to loss of profit, loss of reputation, loss of opportunity, or lost time or goodwill), suffered or incurred by any person from the use or reliance of the Custom Indices, Underlying Data or Index Values.

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