PortfolioMetrics

KWEB vs. YINN - ETF Comparison

KWEB - KraneShares CSI China Internet ETF

The KraneShares CSI China Internet ETF (KWEB) provides investors with pure-play exposure to Chinese software and information technology stocks, including large-cap companies like Alibaba and Tencent, as well as mid- and small-cap firms. The fund tracks the CSI Overseas China Internet Index, investing in overseas-listed shares of Chinese firms, primarily in the U.S. and Hong Kong.

YINN - Direxion Daily FTSE China Bull 3X Shares

The Direxion Daily FTSE China Bull 3X Shares ETF provides 3x daily long leverage to the FTSE China 50 Index, offering a powerful tool for sophisticated investors with a bullish short-term outlook for China's large-cap stocks. It is designed for traders with a high risk tolerance and a short-term investment horizon, as the leverage resets daily, resulting in compounding returns when held for multiple periods.

KWEBYINN
Fund NameKraneShares CSI China Internet ETFDirexion Daily FTSE China Bull 3X Shares
Fund ProviderCICCRafferty Asset Management
IndexCSI Overseas China InternetFTSE China 50 Index (300%)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.69%1.47%
Inception Date2013-07-312009-12-03
Number Of Holdings332
RegionChinaChina
Investment StyleBlendBlend
Market CapBlendLarge-Cap
LeveragedNon-leveragedLeveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Performance Analysis

The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.

Cumulative Returns

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End of Year Returns Table

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End of Year Returns

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Risk Analysis

The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.

Drawdowns

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Drawdowns Table

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Monte Carlo Simulation

The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.

IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.

Monte Carlo Metrics

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Simulated Portfolio Prices

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