The MVIS® US Listed Pharmaceutical 25 Index (MVPPH) tracks the performance of the 25 largest and most liquid US exchange-listed companies in the pharmaceutical industry. This is a modified market cap-weighted index, and only includes companies that generate at least 50% of their revenue from pharmaceutical related products and services, such as research and development, production, or marketing and sales.
Full MCap of at least 150 mln USD. Three month average-daily-trading volume of at least 1 mln USD at a review and also at the previous two reviews. At least 250,000 shares traded per month over the last six months at a review and also at the previous two reviews.
Pure-Play
Companies have to generate at least 50% revenues from pharmaceuticals.
Diversification
Company weightings are capped at 20%.
Review
Semi-annually in March and September with quarterly rebalances.
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The MVIS® US Listed Semiconductor 25 Index (MVSMH) tracks the performance of the 25 largest and most liquid US exchange-listed companies in the semiconductor industry. This is a modified market cap-weighted index, and only includes companies that generate at least 50% of their revenue from semiconductors or semiconductor equipment.
MVIS® US Listed Semiconductor 10% Capped ESG Index
The MVIS® US Listed Semiconductor 10% Capped ESG Index (MVSMC) tracks the performance of the 25 largest and most liquid US exchange-listed companies in the semiconductor industry, employing a 10% capping scheme. MVSMC only includes companies that generate at least 50% of their revenue from semiconductors or semiconductor equipment.
BlueStar® Machine Learning and Quantum Computing Index
The BlueStar® Machine Learning and Quantum Computing Index (BQTUM) tracks the performance of the largest and most liquid companies in the global quantum computing and machine learning industries. This is a modified market cap-weighted index, and only includes companies that are acitive in the quantum computing or machine learning business, such as the development or use of quantum computers or computing chips, superconducting materials, applications built on quantum computers, embedded artificial intelligence chips, or software that specialize in the perception, collection, visualization, or management of big data.