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GEM

ยทARCA
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Key Stats
Assets Under Management
1.19BUSD
Fund Flows (1Y)
55.11MUSD
Dividend Yield
1.98%
Discount/Premium to NAV
-0.02%
Shares Outstanding
28.30M
Expense Ratio
0.45%
About Goldman Sachs ActiveBeta Emerging Markets Equity ETF
Issuer
Goldman Sachs Asset Management, L.P.
Brand
Goldman Sachs
Inception Date
Sep 25, 2015
Structure
Open-Ended Fund
Index Tracked
Goldman Sachs ActiveBeta Emerging Markets Equity Index
Management Style
Passive
Dividend Treatment
Distributes
Distribution Tax Treatment
Qualified dividends
Income Tax Type
Capital Gains
Max ST Capital Gains Rate
39.60%
Max LT Capital Gains Rate
20.00%
Primary Advisor
Goldman Sachs Asset Management LP
Distributor
ALPS Distributors, Inc.
GEM's ActiveBeta methodology chooses emerging market stocks based on four attributes of performance: good value, strong momentum, high quality, and low volatility. Despite the active moniker, the ETF tracks an index from its issuer. All four sub-indices pull their constituents from the parent MSCI Emerging Markets Index, giving each member a weighting based on factor criteria (small-caps are excluded per the parent index). Criteria include book value, sales, and cash flow scaled by share price, profit/assets or ROE, risk-adjusted returns, and daily standard deviation of returns. The four equally-weighted sub-indices are combined to create the index, any overweights to a particular name from one sub-index will cancel underweights from another. As such, the fund may exhibit moderate rather than radical deviations from the cap-weighted market.
Classification
Asset Class
Equity
Category
Size and Style
Focus
Total Market
Niche
Broad-based
Strategy
Multi-factor
Geography
Emerging Markets
Weighting Scheme
Tiered
Selection Criteria
Multi-factor
Returns
1-Month
3-Month
YTD
1-Year
3-Year
5-Year
Price Performance
-0.67%+2.29%+29.97%+23.11%+45.41%+11.47%
NAV Total Return
-1.04%+4.93%+30.20%+26.29%+54.02%+23.27%
Ratings

No data is currently available

Ainvestโ€™s AI-powered ETF Scoring Algorithm, built to help retail investors make smarter, data-driven decisions. Leveraging deep learning, reinforcement learning, and large language models, the algorithm scores ETFs across five key dimensions: Fund Flow, Momentum, Safety, Fundamentals, and Performance. Each factor is weighted by its correlation to future returns, resulting in a single, actionable score. Backtested over five years with consistently strong predictive accuracy. Ainvest brings institutional-grade artificial intelligence to everyday investorsโ€”transforming complexity into clarity with every score.
Holdings Analysis

Sector

Technology

27.60%

Financial Services

24.18%

Consumer Cyclical

12.16%

Communication Services

9.82%

Basic Materials

6.23%

Industrials

6.17%

Healthcare

4.20%

Consumer Defensive

3.59%

Energy

2.96%

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Asset

Region

78.6%
8.89%
7.82%
4.2%
0.5%

Category

Ratio

Asia

78.60%

Africa/Middle East

8.89%

Latin America

7.82%

Europe

4.20%

North America

0.50%

Investment Style

Mega
Large
Medium
Multi
Small
Value
Blend
Growth

Multi-Cap Blend

Provides exposure to companies of various sizes that exhibit both growth and value characteristics. This category offers a diversified portfolio with a mix of market caps.

Top 10 Holdings

Symbol

Ratio

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TAIWAN SEMICONDUCTOR MFG CO

11.46%
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TENCENT HOLDINGS LIMITED

4.80%
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SAMSUNG ELECTRONICS CO., LTD.

3.32%
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ALIBABA GROUP HOLDING LIMITED

2.97%
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SK HYNIX INC

2.10%
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HDFC BANK LIMITED

0.94%
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CHINA CONSTRUCTION BANK CORP

0.90%
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EWM

iShares MSCI Malaysia ETF
0.75%
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XIAOMI CORPORATION

0.73%
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ICICI BANK LIMITED

0.73%

Top 10 Weight 28.7%

784 Total Holdings

Dividends

Dividend Payout History

Declaration Date
Record Date
Payment Date
Amount
2024-12-232024-12-232024-12-300.823
2023-12-262023-12-272024-01-020.174
2023-09-252023-09-262023-09-290.208
2023-06-262023-06-272023-06-300.190
2023-03-272023-03-282023-03-310.339
2022-12-272022-12-282023-01-030.069
2022-09-262022-09-272022-09-300.180

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Premium/Discount Chart
Premium/Discount to NAV
Price
Assets Under Management
Assets Under Management
Fund Flows
Inflows
Outflows