Artificial Intelligence ETF

Posted on | by Leon Hinde | Leave a Comment on Artificial Intelligence ETF

Global X Artificial Intelligence is a new ETF listed on the ASX.

The index is designed to track the performance of companies listed or incorporated in developed markets
that are positioned to benefit from the development and utilization of Artificial Intelligence (AI) in their
products and services, as well as companies that produce hardware used in AI applied for the analysis of
Big Data. Indxx has identified the following categories as providing exposure to the underlying theme:
Category 1
Artificial Intelligence Developers – develop AI and use AI in their own products
Artificial Intelligence-as-a-Service (“AIaaS”) – provide artificial intelligence capabilities to their
customers as a service.
Category 2
Artificial Intelligence Hardware – produce semiconductors, memory storage and other hardware that is
utilized for artificial intelligence applications. Quantum Computing – develop quantum computing technology.

The top 60 companies from Category 1 and the top 25 companies from Category 2 will form the final
index.

Small Companies Masters ETF

Posted on | by Leon Hinde | Leave a Comment on Small Companies Masters ETF

VanEck Small Companies Masters invests in a diversified portfolio of ASX listed securities with the aim of providing investment returns (before Management fees) that closely track the performance of the MVIS Australia Small-Cap Dividend Payers Index.

The MVIS Australia Small-Cap Dividend Payers Index is a pure play index designed to capture the
performance of dividend paying Australian small cap equities, with real diversification across both
securities and sectors.

The Index includes the most liquid small cap ASX listed companies that did not omit their latest dividend payment and that generate at least 50% of their revenues in Australia. Individual Index components are determined using a stringent rules based methodology focusing on liquidity, with a minimum of 25 securities, each with a maximum weighting of 8%.