Goldman Sachs Manufacturing Revolution ETF

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Основные параметры

Цена последней сделки 77.92
Код ценной бумаги GMAN
Полное наименование Goldman Sachs Manufacturing Revolution ETF
Объем 51010000000
Изм за день, % 0.0
Комиссия 0.50
Дата основания Mar 01. 2019
Ссылка ссылка
Тип актива Equity
Индекс Motif Manufacturing Revolution Index
Регион Developed Markets
Средний P/E 28.03
Дивиденды 0.52
5 летняя доходность
3 летняя доходность
Годовая доходность 44.75
Бета 1.3

Топ эмитентов

Эмитент Доля, %
Amazon 2.54
Alibaba Group Holding Limited 1.8
Facebook 1.79
Microsoft Corporation 1.76
Apple 1.69
Tesla 1.63
NIO Limited 1.12
Intel 1.01
Teradyne 0.95 0.84

Описание Goldman Sachs Manufacturing Revolution ETF

The Goldman Sachs Manufacturing Revolution ETF (GMAN) tracks a bespoke index that seeks exposure to market segments like robotics, 3D printing, drones, clean energy and “future mobility.” Goldman’s marketing materials say that GMAN’s provides “exposure to the beneficiaries of technological innovation, regardless of sector, geography or market capitalization.” The investments are selected and weighted “by a function of ‘thematic’ beta.’” Top holdings include Tesla, Amazon, ABB Ltd, Rockwell Automation and NVIDIA.

GMAN’s management fee is high for passive funds, but reasonable for niche and smart-beta products. For plain-vanilla index exposure to the industrial sector, investors could consider funds like State Street’s Industrial Select Sector SPDR Fund (XLI). For those looking for a more futuristic spin, there are both indexed and actively-managed options out there that cover similar slices of the market. In the index space, there’s the Global X Robotics & Artificial Intelligence ETF (BOTZ), the iShares Robotics and Artificial Intelligence Multisector ETF (IRBO), or the ARK 3D Printing ETF (PRNT). ARK Invest also offers active options such as the ARK Industrial Innovation ETF (ARKQ).

GMAN is one of five ETFs that Goldman launched in 2019 with indexes designed by Motif Investing Inc. The indexes selected stocks using artificial intelligence and machine learning. Goldman worked with Motif to design indexes that aim to identify companies that fit with broad themes that Goldman’s money managers thought would drive growth. (The “Motif” moniker was removed from the fund name in May 2020 when Motif dropped out as the index provider.) The funds were yet another example of Wall Street’s increased use of sophisticated automation. Computers read faster than human analysts, quickly scouring regulatory filings, company reports and news stories for information on a company’s prospects. Using AI and machine learning isn’t that much of a divergence — after all, most factor funds and smart-beta ETFs are really just attempts to codify investing strategies employed by human stock pickers. Whether it’s a plain-vanilla index or something more sophisticated, index methodology is basically just programmed code that tells the index what to buy and sell.