Global X Scientific Beta Asia ex-Japan ETF

Global X Scientific Beta Asia ex-Japan ETF

SCIX
Global X Scientific Beta Asia ex-Japan ETFUS flagNew York Stock Exchange Arca
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USD
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Capital Structure

FRC

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Working Capital

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Growth Rates

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Quarterly Revenue

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Quarterly Earnings Per Share

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Quarterly Dividends Per Share

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Company Description

APIChatGPT
Sector
Financial Services
Industry
Asset Management
Address
IPO Date
May 11, 2015
Business
Global X Scientific Beta Asia ex-Japan ETF (SCIX) is an exchange-traded fund that seeks to track the investment results of the Scientific Beta Developed Asia ex-Japan Multi-Beta Multi-Factor Index, providing exposure to equities in developed Asian markets excluding Japan; it employs a multi-factor investment strategy emphasizing value, momentum, low volatility, quality, and size factors to enhance risk-adjusted returns. The fund offers investors diversified access to large- and mid-cap companies across key sectors including financials, technology, consumer discretionary, and industrials; it is passively managed with a focus on systematic factor tilts rather than active stock selection. SCIX operates primarily in markets such as Australia, Hong Kong, Singapore, and South Korea, targeting institutional and retail investors seeking smart beta solutions in the Asia-Pacific region. Launched in 2016 and domiciled in the United States with administrative headquarters aligned to its issuer, Global X Management Company LLC (a subsidiary of Mirae Asset Global Investments), the ETF maintains a competitive expense ratio and daily liquidity on major exchanges. In recent developments, Global X expanded its Scientific Beta lineup with enhanced index methodologies in 2024, incorporating refined factor models to better capture market regimes amid heightened volatility in Asian equities; the firm also announced strategic alliances with regional index providers to bolster data integration for ex-Japan exposure. No major acquisitions or name changes have occurred in the last two years, though ongoing portfolio rebalances reflect shifts toward high-conviction factor exposures in response to evolving economic conditions in target markets.