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ISTOXX INDICES

iSTOXX AI Global Artificial Intelligence High Dividend 30

Index Description

The iSTOXX AI Global Artificial Intelligence High Dividend 30 Index allows a targeted investment in companies from a wide range of industries that invest heavily in the development of new AI technologies. These companies are well positioned to benefit from the growing trend towards automation. The index is comprised of 30 liquid stocks with high dividend yield, weighted by the inverse of their volatility. Sustainability criteria are incorporated in the selection process and only securities ranking in terms of ESG score in the top half of the investable universe are considered eligible for selection. Moreover, companies that are non-compliant with the Global Standards Screening (GSS) or are involved in Controversial Weapon activities, as identified by Sustainalytics, are excluded. Additionally, companies involved in Weapons (Small Arms and Military Contracting), Gambling, Adult Entertainment, Unconventional Oil & Gas (Arctic Oil and Gas Exploration, Oil Sands and Shale Energy), Conventional Oil & Gas, Thermal Coal, Nuclear Power and Tobacco are also excluded.

Key facts

  • Selection of 30 liquid stocks with high dividend yield.
  • Index allows targeted investment in the 'artificial intelligence' theme.
  • Companies are compliant with the Global Standard Screenings and are not involved in Controversial Weapons.
  • Product involvement filters are applied.
  • Companies with the lowest ESG scores are filtered out.

Descriptive Statistics

Index Market Cap (EUR bn) Components (EUR bn) Component weight (%) Turnover (%)
Full Free-float Mean Median Largest Smallest Largest Smallest Last 12 monts
iSTOXX AI Global Artificial Intelligence High Dividend 30 N/A 1.0 0.0 0.0 0.1 0.0 5.8 1.9 72.1
STOXX Developed and Emerging Markets Total Market 81,755.2 69,131.6 6.1 0.7 2,550.6 0.0 3.7 0.0 2.6

Supersector weighting (top 10)

Country weighting

Risk and return figures1

Index returns Return (%) Annualized return (%)
Last month YTD 1Y 3Y 5Y Last month YTD 1Y 3Y 5Y
iSTOXX AI Global Artificial Intelligence High Dividend 30 4.9 34.5 34.5 45.7 67.1 N/A N/A 35.1 13.5 10.9
STOXX Developed and Emerging Markets Total Market 4.0 16.3 16.3 25.4 64.7 N/A N/A 16.5 7.9 10.6
Index volatility and risk Annualized volatility (%) Annualized Sharpe ratio2
iSTOXX AI Global Artificial Intelligence High Dividend 30 N/A N/A 13.4 11.3 14.4 N/A N/A 2.0 1.1 0.7
STOXX Developed and Emerging Markets Total Market N/A N/A 10.4 13.4 16.8 N/A N/A 1.1 0.5 0.6
Index to benchmark Correlation Tracking error (%)
iSTOXX AI Global Artificial Intelligence High Dividend 30 0.5 0.6 0.6 0.6 0.8 8.7 10.7 10.7 11.2 10.9
Index to benchmark Beta Annualized information ratio
iSTOXX AI Global Artificial Intelligence High Dividend 30 0.7 0.8 0.8 0.5 0.7 1.2 1.4 1.4 0.4 -0.1

1For information on data calculation, please refer to STOXX calculation reference guide

2Based on EURIBOR1M

(EUR, Price), all data as of December 29, 2023

ISTOXX INDICES

iSTOXX AI Global Artificial Intelligence High Dividend 30

Fundamentals

Index Price/earnings incl. negative Price/earnings excl. negative Price/book Dividend yield (%)3 Price/sales Price/cash flow
Trailing Projected Trailing Projected Trailing Trailing Trailing
iSTOXX AI Global Artificial Intelligence High Dividend 30 279.4 52.1 33.6 33.6 2.8 3.6 2.6 29.6
STOXX Developed and Emerging Markets Total Market -1.1 15.1 15.1 15.1 0.2 2.0 1.4 6.3

Performance and annual returns

Methodology

The parent index is the STOXX Developed and Emerging Markets Total Market Index. First, stocks that rank in the top The parent index is the STOXX Developed and Emerging Markets Total Market Index. First, companies that rank in the top half of the universe in terms of ESG scores are selected. Additional filters are applied to ensure companies engaged in controversial activities, or non-compliant with the Global Standard Screenings (GSS), are excluded. In addition, for a company to be eligible for selection it must have, it must also be a component of the STOXX AI Global Artificial Intelligence ADTV5 Index 3-month average daily trading value (ADTV) greater than or equal to 1 million EUR and derive at least 10% of revenues generated within the aggregate of the FactSet RBICS sectors associated with AI. All remaining companies are ranked based on their dividend yield; the 30 companies with the highest yields are selected.

The index is weighted by the inverse of the selected stocks' volatility; component weight is capped at 10%.

The index composition is reviewed quarterly.

The detailed methodology including the calculation formula and the list of sectors can be found in our rulebooks: www.stoxx.com/rulebook

Versions and symbols

Index ISIN Symbol Bloomberg Reuters
Price EUR CH0546615599 SXAAIHDP SXAAIHDP INDEX .SXAAIHDP
Net Return EUR CH0546615607 SXAAIHDN .SXAAIHDN
Gross Return EUR CH0546615615 SXAAIHDG SXAAIHDG INDEX .SXAAIHDG
Price USD CH0546615623 SXAAIHDL .SXAAIHDL
Net Return USD CH0546615631 SXAAIHDV .SXAAIHDV
Gross Return USD CH0546615649 SXAAIHDU .SXAAIHDU

Quick Facts

Weighting Inverse Volatility Weighted
Cap Factor 0.1
No. of components 30
Review frequency Quarterly
Calculation/distribution realtime 15 sec
Calculation hours 00:00:00 22:15:00
Base value/base date 100 as of Mar. 18, 2013
History Available from Mar. 18, 2013
Inception date May. 20, 2020
To learn more about the inception date, the currency, the calculation hours and historical values, please see our data vendor code sheet.

CONTACT DETAILS

  • STOXX customer support
  • P +41 43 430 7272
  • customersupport@stoxx.com
  • https://stoxx.com/support/

DISCLAIMER

STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.

BACKTESTED PERFORMANCE

This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.

CUSTOMIZATION

The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.

ISTOXX INDICES

iSTOXX AI Global Artificial Intelligence High Dividend 30

Top 10 Components4

Company Supersector Country Weight
INWIT Telecommunications Italy 5.829%
HALMA Industrial Goods and Services UK 5.173%
Equinix Inc. Real Estate USA 4.446%
Macronix Technology Taiwan 4.362%
ERICSSON LM B Telecommunications Sweden 4.209%
Keyence Corp. Industrial Goods and Services Japan 4.046%
NTC Technology Taiwan 3.898%
SBA Communications Corp. Real Estate USA 3.772%
AMERICAN TOWER Real Estate USA 3.695%
Micron Technology Inc. Technology USA 3.666%

3Net dividend yield is calculated as net return index return minus price index return

4Based on the composition as of December 29, 2023

CONTACT DETAILS

  • STOXX customer support
  • P +41 43 430 7272
  • customersupport@stoxx.com
  • https://stoxx.com/support/

DISCLAIMER

STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.

BACKTESTED PERFORMANCE

This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.

CUSTOMIZATION

The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.