The SPDR® S&P®/ASX 200 Financials EX A-REIT ETF seeks to closely track, before fees and expenses, the returns of the S&P/ASX 200 Financials Ex A-REIT Index.
The SPDR® S&P®/ASX 200 Financials EX A-REIT ETF seeks to closely track, before fees and expenses, the returns of the S&P/ASX 200 Financials Ex A-REIT Index.
DRUG aims to track the performance of an index (before fees and expenses) that comprises the largest global healthcare companies (ex-Australia), hedged into Australian dollars.
The Global X China Tech ETF (DRGN) offers access to 20 leading Chinese technology companies listed in Hong Kong and Mainland. With a rules-based selection process across 15 core sectors including semiconductors, robotics, software, and internet platforms, DRGN captures China’s strategic push into self-sufficient innovation.
The Fund aims to provide investors with the performance of the equally weighted return of the various indices of the Underlying Funds in which the Fund invests, before fees and expenses. The Underlying Funds are ETFs that invest in disruptive, technology themed companies driving innovation and providing solutions to global challenges.
The fund aims to provide investors with the performance of the S&P Global 1200 Healthcare Sector IndexTM, before fees and expenses. The index is designed to measure the performance of global biotechnology, healthcare, medical equipment and pharmaceuticals companies and may include large-, mid- or small-capitalisation stocks.
The Global X S&P Biotech ETF (CURE) seeks to invest in companies that potentially stand to benefit from further advances in the field of genomic science, such as companies involved in gene editing, genomic sequencing, genetic medicine/therapy, computational genomics, and biotechnology.
QFN aims to track the performance of an index (before fees and expenses) comprising the largest ASX-listed companies in the financial sector, including the ‘Big 4’ banks and insurance companies but excluding Real Estate Investment Trusts.
ERTH aims to track the performance of an index (before fees and expenses) that comprises a portfolio of up to 100 leading global companies that derive at least 50% of their revenues from products and services that help to address climate change and other environmental problems through the reduction or avoidance of CO2 emissions. This covers clean energy providers, along with leading companies tackling green transport, waste management, sustainable product development, and improved energy efficiency and storage.
The Fund objective is to achieve attractive risk adjusted returns over the medium to long-term while reducing the risk of permanent capital loss.
Vanguard Global Minimum Volatility Active ETF seeks to provide long-term capital appreciation through an active management approach with volatility lower than the FTSE Global All Cap Index (AUD Hedged), before taking into account fees, expenses and tax.
The Global X Artificial Intelligence ETF (GXAI) seeks to invest in companies that potentially stand to benefit from the further development and utilisation of artificial intelligence (AI) technology in their products and services, as well as in companies that provide hardware facilitating the use of AI for the analysis of big data.
CLNE gives investors a diversified portfolio of 30 of the largest and most liquid companies involved in clean energy production and associated technology and clean energy equipment globally. CLNE aims to provide investment returns before fees and other costs which track the performance of the Index.
Invest in the energy storage and production megatrend.
The Global X US Infrastructure Development ETF (PAVE) aims to capture a resurging focus on infrastructure in the world’s largest economy. It does so by investing in US-domiciled companies involved in the construction, engineering, material procurement, transportation, and equipment distribution processes of infrastructure projects.
BNKS aims to track the performance of an index (before fees and expenses) that comprises the largest global banks (ex-Australia), hedged into Australian dollars.