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KGRN — KraneShares MSCI China Clean Technology Index ETF

KraneShares MSCI China Clean Technology Index ETF (ticker: KGRN) is a equity ETF issued by CICC tracking MSCI China IMI Environment 10/40 Index. It was launched on 2017-10-13.

Live Price$25.7736
Change-0.52%
AUM$59.72M
Expense Ratio0.01%
Avg Volume24,544.263

Returns (Total Return)

PeriodReturn
1 Day0.16%
1 Week-6.37%
1 Month-9.67%
3 Months-4.65%
6 Months-8.29%
YTD-4.01%
1 Year-0.08%
3 Years3.14%
5 Years-38.19%
10 Years
Since Inception

Top Holdings

#SecuritySymbolWeight
1 XPENG INC-A SHRS 9868 11.12%
2 XPENG INC-A SHRS 9868 11.12%
3 XPENG INC-A SHRS 9868 11.12%
4 XPENG INC-A SHRS 9868 11.12%
5 XPENG INC-A SHRS 9868 11.12%
6 XPENG INC-A SHRS 9868 11.12%
7 XPENG INC-A SHRS 9868 10.76%
8 XPENG INC-A SHRS 9868 10.76%
9 XPENG INC-A SHRS 9868 10.76%
10 XPENG INC-A SHRS 9868 10.76%

Fund Profile

IssuerCICC
BrandKraneShares
Asset Classequity
StrategyESG
StructureETF
CategoryChina Equities
SegmentEquity: China Environment
RegionEmerging Asia Pacific
Index TrackedMSCI China IMI Environment 10/40 Index
Inception Date2017-10-13
Tax on DistributionsQualified dividends

Quick Facts

TickerKGRN
Full NameKraneShares MSCI China Clean Technology Index ETF
IssuerCICC
Asset Classequity
Expense Ratio0.01%
AUM$59.72M
Inception2017-10-13
Index TrackedMSCI China IMI Environment 10/40 Index

Frequently Asked Questions

What does KGRN track?

KGRN (KraneShares MSCI China Clean Technology Index ETF) tracks MSCI China IMI Environment 10/40 Index, a equity benchmark.

What is the expense ratio of KGRN?

KGRN has an expense ratio of 0.01% per year.

What is the AUM of KGRN?

KGRN has approximately $59.72M in assets under management.

Does KGRN pay a dividend?

KGRN distributes income according to its prospectus (Qualified dividends tax treatment). Check the dividend history tab for ex-dividend dates and yield.

Who issues KGRN?

KGRN is issued by CICC under the KraneShares brand, launched on 2017-10-13.

Open the interactive KGRN dashboard for charts, historical fund flows, holdings breakdown and seasonality patterns.