by Kraneshares
Date: 3/31/2026
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Empowering investors with access to the world's most powerful growth themes through ETFs, private strategies, and innovative investment solutions.
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Strategy also available in UCITS / ETC
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KCAI tracks the Qi China Alpha Index, which seeks to outperform the CSI 300 Index by applying a systematic machine learning approach. KCAI's index was developed by Quant Insight (Qi) to generate excess returns in China A-Shares through an alpha optimization filtering process combined with proprietary AI technology.
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KraneShares and Quant Insight developed KCAI to provide sophisticated, AI-driven investment strategies to investors.
Innovation Focused Global ETF Platform
AI Financial Analytics Expert & Leader
The chart illustrates the positioning of AI Powered ETFs at the high sophistication / low cost frontier, compared to Traditional ETFs, Wealth Management, and Hedge Funds.
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Quant Insight is a pioneer in using artificial intelligence to power investment outcomes.
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We believe the market is highly inefficient, with high retail participation compared to other global equity markets.
| Market | Retail Participation |
|---|---|
| China A-Shares | ~80% |
| Hong Kong | ~20% |
| United States | ~20% |
| Japan | ~15% |
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China A-Shares have followed a boom-and-bust cycle over the past decade, leading to heightened volatility and potential opportunities for a more sophisticated strategy to take advantage of pullbacks.
| Metric | CSI 300 | ACWI |
|---|---|---|
| Annualized Volatility | 17.86% | 15.67% |
| Annualized Return | 5.73% | 11.92% |
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Index's strategy applies a systematic machine learning approach to target a singular outcome of outperforming the CSI 300 Index.
Qi applies a proprietary filter to select stocks from the CSI 300 Index that meet minimum market cap and liquidity requirements.
A systematic, quantitative assessment is performed to rank sectors based on market regime shifts. A sector rank is applied for uptrends and downtrends. Stocks are then sorted by this ranking mechanism to generate index outperformance.
Qi's machine-learning algorithm observes these stocks' performance over a multi-year training window and then uses proprietary Bayesian ML techniques to select stocks that will track the index (Beta target = 1) on a forward-looking basis, while still preserving the alpha generation process.
The weight for each constituent is capped at 5% and the portfolio is limited to a maximum of 50 stocks.
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Bar chart comparing monthly performance of the China Alpha Index vs. the CSI 300 Index from September 2023 through March 2026.
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A-Shares (Onshore): Shenzhen Stock Exchange, Shanghai Stock Exchange
Offshore: HKEX, Nasdaq, NYSE
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China has the world's second-largest economy and stock market.
| Equity Asset Class | USD Billions | % |
|---|---|---|
| Developed Market Equities | ||
| United States | 74,456 | 51.27 |
| Europe | 20,329 | 14.00 |
| Japan | 7,352 | 5.06 |
| Pacific ex-Japan | 3,364 | 2.32 |
| Other (Israel and Canada) | 4,245 | 2.92 |
| TOTAL DEVELOPED | 109,747 | 75.58 |
| Rest of the World | ||
| Emerging Markets ex-China | 18,244 | 12.56 |
| China | 16,527 | 11.38 |
| Frontier | 693 | 0.48 |
| TOTAL EM and FM | 35,465 | 24.42 |
| TOTAL | 145,212 | 100.00 |
United States, China, Germany, Japan, United Kingdom
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| RANK | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2025 Rank |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1st | -1.39 | -5.82 | 60.33 | 28.46 | 35.19 | 99.20 | 98.89 | -29.21 | 81.47 | 28.65 | 1.36 | 24.57 | 31.79 | 24.09 | 9.57 | 14.29 | 41.18 | -5.04 | 30.88 | 33.40 | 26.45 | -5.72 | 27.10 | 25.08 | 46.86 | Frontier |
| 2nd | -9.88 | -6.42 | 53.31 | 27.49 | 25.52 | 33.72 | 34.84 | -37.57 | 76.42 | 21.86 | -11.06 | 20.87 | 27.16 | 12.69 | 0.69 | 10.89 | 31.24 | -10.30 | 27.63 | 20.72 | 16.30 | -14.83 | 20.35 | 16.66 | 37.09 | Emerging Markets ex-China |
| 3rd | -12.39 | -10.28 | 45.77 | 20.88 | 13.81 | 32.02 | 30.73 | -46.42 | 72.81 | 16.91 | -12.79 | 19.94 | 25.23 | 7.20 | -2.84 | 7.85 | 26.79 | -12.42 | 23.77 | 14.48 | 10.03 | -16.74 | 20.03 | 10.84 | 36.34 | Europe |
| 4th | -19.90 | -14.65 | 38.54 | 15.86 | 11.14 | 27.36 | 13.86 | -50.50 | 35.83 | 15.44 | -14.33 | 19.12 | 5.49 | -0.47 | -3.05 | 5.00 | 25.88 | -12.88 | 19.61 | 12.56 | 4.68 | -19.85 | 20.03 | 9.70 | 29.20 | China |
| 5th | -22.23 | -18.38 | 35.91 | 10.14 | 9.42 | 14.67 | 5.44 | -53.93 | 26.25 | 14.77 | -17.55 | 16.96 | 4.28 | -4.02 | -8.47 | 2.38 | 25.51 | -14.60 | 18.36 | 6.55 | 4.29 | -20.16 | 11.63 | 8.40 | 24.95 | Japan |
| 6th | -29.40 | -23.09 | 28.41 | -3.29 | 5.14 | 6.24 | -4.23 | -54.49 | 25.61 | 3.88 | -18.55 | 15.33 | 2.98 | -5.00 | -17.33 | -0.40 | 23.99 | -14.86 | 16.21 | 5.38 | 1.71 | -23.48 | 7.62 | 3.56 | 20.62 | Pacific ex-Japan |
| 7th | -55.72 | 6.25 | 2.61 | -19.04 | 8.18 | -4.32 | -6.18 | -18.30 | -7.87 | 21.19 | -23.27 | 14.10 | -2.67 | -12.91 | -27.04 | -11.38 | 2.19 | 17.75 | United States |
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| Asset Class | Annualized Return | Annualized Volatility | China | United States | Europe | Japan | Pacific ex-Japan | EM ex-China |
|---|---|---|---|---|---|---|---|---|
| China | 3% | 22% | 1.00 | |||||
| United States | 13% | 14% | 0.41 | 1.00 | ||||
| Europe | 7% | 13% | 0.45 | 0.75 | 1.00 | |||
| Japan | 7% | 16% | 0.39 | 0.56 | 0.64 | 1.00 | ||
| Pacific ex-Japan | 6% | 18% | 0.61 | 0.70 | 0.71 | 0.56 | 1.00 | |
| Emerging Markets ex-China | 4% | 18% | 0.58 | 0.67 | 0.71 | 0.56 | 0.84 | 1.00 |
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As Emerging Markets (EM) have become more correlated with Developed Markets over the years, the diversification benefits of EM investing have largely diminished.
| ACWI | EAFE | EM | USA | China | Frontier | China A | |
|---|---|---|---|---|---|---|---|
| ACWI | 1 | ||||||
| EAFE | 0.89 | 1 | |||||
| EM | 0.77 | 0.79 | 1 | ||||
| USA | 0.97 | 0.76 | 0.62 | 1 | |||
| China | 0.52 | 0.53 | 0.83 | 0.40 | 1 | ||
| Frontier | 0.61 | 0.66 | 0.60 | 0.52 | 0.40 | 1 | |
| China A | 0.57 | 0.54 | 0.77 | 0.48 | 0.94 | 0.38 | 1 |
Index Definitions:
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KCAI tracks the Quant Insight (Qi) China Alpha Index, which seeks to outperform the CSI 300 Index by applying a systematic machine learning approach. KCAI's index was developed by its sub-advisor Qi to generate excess returns in China A-Shares through an alpha optimization filtering process combined with proprietary AI technology.
| Primary Exchange | NYSE Arca, Inc. |
| CUSIP | 500767397 |
| ISIN | US5007673974 |
| Total Annual Fund Operating Expense | 0.79% |
| Inception Date | 08/27/2024 |
| Distribution Frequency | Annual |
| Underlying Index | Qi China Alpha Index |
| Number of Holdings | 42 |
| Holding | Ticker | % |
|---|---|---|
| EOPTOLINK TECHNOLOGY INC L-A | 300502 | 3.43 |
| SATELLITE CHEMICAL CO LTD-A | 002648 | 3.43 |
| CHINA CONSTRUCTION BANK-A | 601939 | 3.34 |
| BANK OF CHINA LTD-A | 601988 | 3.34 |
| IND & COMM BK OF CHINA-A | 601398 | 3.31 |
| NINGXIA BAOFENG ENERGY GRO-A | 600989 | 3.28 |
| HUAXIA BANK CO LTD-A | 600015 | 3.28 |
| BANK OF COMMUNICATIONS CO-A | 601328 | 3.21 |
| SHANGHAI PUDONG DEVEL BANK-A | 600000 | 3.19 |
| BANK OF JIANGSU CO LTD-A | 600919 | 3.17 |
| Cumulative % | Annualized % | ||||||
|---|---|---|---|---|---|---|---|
| 3 Mo | 6 Mo | Since Inception | 1 Yr | 3 Yr | 5 Yr | Since Inception | |
| Fund NAV | 3.38% | 14.04% | 74.77% | 57.43% | – | – | 42.01% |
| Closing Price | 4.30% | 14.84% | 76.46% | 59.08% | – | – | 42.88% |
| Underlying Index | 3.68% | 14.99% | 78.96% | 60.09% | – | – | 44.14% |
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| Country, Region, & Market | Index | Index Definition |
|---|---|---|
| Developed Markets | MSCI WORLD (USD NET) INDEX | MSCI World Index captures large and mid cap representation across 23 Developed Markets (DM) countries. With 1,644 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in each country. Inception Date: Mar 31, 1986. |
| Emerging Markets | MSCI EMERGING MARKETS (USD NET) INDEX | MSCI Emerging Markets Index captures large and mid cap representation across 23 Emerging Markets (EM) countries. With 834 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in each country. Inception Date: Jan 01, 2001. |
| China | MSCI CHINA ALL SHARES (USD NET) INDEX | MSCI China All Shares Index captures large and mid-cap representation across China A shares, B shares, H shares, Red chips, P chips and foreign listings (e.g. ADRs). |
| United States | MSCI USA (USD NET) INDEX | MSCI USA Index is designed to measure the performance of the large and mid cap segments of the US market. With 622 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in the US. Inception Date: Mar 31, 1986. |
| Europe | MSCI EUROPE (USD GROSS) INDEX | MSCI Europe Index captures large and mid cap representation across 15 Developed Markets (DM) countries in Europe. With 443 constituents, the index covers approximately 85% of the free float-adjusted market capitalization across the European Developed Markets equity universe. Inception Date: Mar 31, 1986. |
| Japan | MSCI JAPAN (USD NET) INDEX | MSCI Japan Index is designed to measure the performance of the large and mid cap segments of the Japanese market. With 321 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in Japan. Inception Date: Mar 31, 1986. |
| Pacific ex-Japan | MSCI PACIFIC EX JAPAN (USD NET) INDEX | MSCI Pacific ex Japan Index captures large and mid cap representation across 4 of 5 Developed Markets (DM) countries in the Pacific region (excluding Japan). With 148 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in each country. Inception Date: Aug 31, 1987. |
| Emerging Markets Excluding China | MSCI EMERGING MARKETS (USD NET) INDEX | MSCI Emerging Markets ex China Index captures large and mid cap representation across 23 of the 24 Emerging Markets (EM) countries excluding China. With 692 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in each country. |
| Frontier | MSCI FRONTIER MARKETS (USD GROSS) INDEX | MSCI Frontier Markets Index captures large and mid cap representation across 29 Frontier Markets (FM) countries. The index includes 109 constituents, covering about 85% of the free float-adjusted market capitalization in each country. Inception Date: Dec 18, 2007. |
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MSCI All Country World Index (ACWI): The MSCI ACWI Index captures large and mid cap representation across 23 Developed Markets (DM) and 23 Emerging Markets (EM) countries.
MSCI ACWI GDP Weighted Index: is based on the flagship MSCI ACWI Index, its parent index, and includes large and mid cap stocks across 23 Developed Markets (DM) and 24 Emerging Markets (EM) countries. The index uses a different weighting scheme than its cap weighted parent index. The weight of each country in the index is derived from its economic size (using GDP data) rather than the size of its equity market.
CSI 300 Index: The CSI 300 Index consists of the 300 largest and most liquid A-share stocks and is maintained by China Securities Index Co. Ltd. (CSI). The Index aims to reflect the overall performance of China A-share market.
MSCI China A Index: The MSCI China A Index captures large and mid-cap representation across China securities listed on the Shanghai and Shenzhen exchanges. The index covers only those securities that are accessible through "Stock Connect". The index is designed for international investors and is calculated using China A Stock Connect listings based on the offshore RMB exchange rate (CNH).
MSCI Europe, Australasia, and the Far East (EAFE) Index: The MSCI EAFE Index is an equity index which captures large and mid cap representation across 21 Developed Market countries around the world, excluding the US and Canada. With 741 constituents, the index covers approximately 85% of the free float-adjusted market capitalization in each country.
Qi China Alpha Index: An index developed by Quant Insight (Qi) to use machine proprietary machine learning techniques to attempt to outperform the CSI 300 Index. Qi applies a proprietary filter to select stocks from the CSI 300 Index that meet minimum market cap and liquidity requirements. A systematic, quantitative assessment is performed to rank sectors based on market regime shifts. Qi's machine-learning algorithm observes these stocks' performance over a multi-year training window and then uses proprietary Bayesian ML techniques to select stocks that will track the index (Beta target = 1) on a forward-looking basis, while still preserving the alpha generation process. The weight for each constituent is capped at 5% and the portfolio is limited to a maximum of 50 stocks.
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Morningstar-Ranked Top China A Share Mutual Fund: Morningstar ranks mutual funds in various categories including China equity. The performance quoted is for the top-ranked fund in the China active category, which is an A share fund, as of 9/30/2024.
Qualified Foreign Institutional Investor (QFII/RQFII): The Qualified Foreign Institutional Investor program grants access to China's domestic stock markets to foreign institutional investors that register with and are approved for trading by the State Administration of Foreign Exchange (SAFE). Until the launch of the Stock Connect program in 2016, this and the similar Registered Qualified Foreign Institutional Investor (RQFII) were the only means by which foreign investors could access stock markets in Mainland China.
Stock Connect: A mutual market access program between the Hong Kong Stock Exchange, Shanghai Stock Exchange, and Shenzhen Stock Exchange. The program allows investors who are not citizens of the People's Republic of China (PRC) to trade stocks listed on the Shanghai Stock Exchange and/or the Shenzhen Stock Exchange through brokerage accounts used for trading on the Hong Kong Stock Exchange.
Correlation: A statistical measure that calculates the strength of the relationship between the relative movements of two variables.
Volatility: The degree of variation of a trading price series over time as measured by the standard deviation of returns.
Alpha: The degree to which an investment outperforms a designated benchmark.
Beta: The degree to which an investment tracks a designated benchmark.
Machine Learning (ML): The use and development of computer algorithms that are able to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and draw inferences from patterns in data.
Bayesian ML: A sophisticated paradigm in the field of artificial intelligence that marries the power of statistical inference with machine learning to allow a system to improve its predictions over time by dynamically learning from past experiences.
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Carefully consider the Funds' investment objectives, risk factors, charges and expenses before investing. This and additional information can be found in the Funds' full and summary prospectus, which may be obtained by visiting www.kraneshares.com/kcai. Read the prospectus carefully before investing.
Investing involves risk, including possible loss of principal. There can be no assurance that a Fund will achieve its stated objectives. Indices are unmanaged and do not include the effect of fees. One cannot invest directly in an index.
This information should not be relied upon as research, investment advice, or a recommendation regarding any products, strategies, or any security in particular. This material is strictly for illustrative, educational, or informational purposes and is subject to change. Certain content represents an assessment of the market environment at a specific time and is not intended to be a forecast of future events or a guarantee of future results; material is as of the dates noted and is subject to change without notice.
A-Shares are issued by companies in mainland China and traded on local exchanges. They are available to domestic and certain foreign investors, including QFIs and those participating in Stock Connect Programs like Shanghai-Hong Kong and Shenzhen-Hong Kong. Foreign investments in A-Shares face various regulations and restrictions, including limits on asset repatriation. A-Shares may experience frequent trading halts and illiquidity, which can lead to volatility in the Fund's share price and increased trading halt risks. The Chinese economy is an emerging market, vulnerable to domestic and regional economic and political changes, often showing more volatility than developed markets. Companies face risks from potential government interventions, and the export-driven economy is sensitive to downturns in key trading partners, impacting the Fund. U.S.-China tensions raise concerns over tariffs and trade restrictions, which could harm China's exports and the Fund. China's regulatory standards are less stringent than in the U.S., resulting in limited information about issuers. Tax laws are unclear and subject to change, potentially impacting the Fund and leading to unexpected liabilities for foreign investors. Fluctuations in currency of foreign countries may have an adverse effect to domestic currency values.
Machine learning is a part of artificial intelligence that creates algorithms to improve from data without explicit programming. The Underlying Index depends on a machine learning model using various inputs, including historical data. If the model fails, the Index and Fund may lose value. Biases or errors in the model or data can lead to poor selections and may not be quickly corrected, harming the Fund. Additionally, machine learning models may overfit historical data and struggle with unexpected market conditions, negatively impacting the Index and the Fund. In addition to the normal risks associated with investing, investments in mid-size companies typically exhibit higher volatility. The Fund is new and does not yet have a significant number of shares outstanding. If the Fund does not grow in size, it will be at greater risk than larger funds of wider bid-ask spreads for its shares, trading at a greater premium or discount to NAV, liquidation and/or a trading halt.
Narrowly focused investments typically exhibit higher volatility. The Fund's assets are expected to be concentrated in a sector, industry, market, or group of concentrations to the extent that the Underlying Index has such concentrations. The securities or futures in that concentration could react similarly to market developments. Thus, the Fund is subject to loss due to adverse occurrences that affect that concentration. KCAI is non-diversified.
ETF shares are bought and sold on an exchange at market price (not NAV) and are not individually redeemed from the Fund. However, shares may be redeemed at NAV directly by certain authorized broker-dealers (Authorized Participants) in very large creation/redemption units. The returns shown do not represent the returns you would receive if you traded shares at other times. Shares may trade at a premium or discount to their NAV in the secondary market. Brokerage commissions will reduce returns. Beginning 12/23/2020, market price returns are based on the official closing price of an ETF share or, if the official closing price isn't available, the midpoint between the national best bid and national best offer ("NBBO") as of the time the ETF calculates the current NAV per share. Prior to that date, market price returns were based on the midpoint between the Bid and Ask price. NAVs are calculated using prices as of 4:00 PM Eastern Time.
The KraneShares ETFs and KFA Funds ETFs are distributed by SEI Investments Distribution Company (SIDCO), 1 Freedom Valley Drive, Oaks, PA 19456, which is not affiliated with Krane Funds Advisors, LLC, the Investment Adviser for the Funds, or any sub-advisers for the Funds.
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