FXI vs. CQQQ - ETF Comparison
FXI - iShares China Large-Cap ETF
The iShares China Large-Cap ETF provides exposure to the large-cap segment of the Chinese equity market, tracking the FTSE China 50 Net Tax USD Index. With a diverse portfolio of 52 holdings, the fund offers a broad-based investment approach, with a market capitalization-weighted scheme. While it has a high expense ratio, the fund's liquidity and large asset base make it a popular choice for investors seeking Chinese equity exposure.
CQQQ - Invesco China Technology ETF
The Invesco China Technology ETF provides targeted exposure to the Chinese technology sector, allowing investors to fine-tune their portfolio. This fund can be used as part of a long/short play or as a complement to other ETFs, as the technology sector is often under-represented in China funds.
| FXI | CQQQ | |
|---|---|---|
| Fund Name | iShares China Large-Cap ETF | Invesco China Technology ETF |
| Fund Provider | BlackRock | Invesco |
| Index | FTSE China 50 Net Tax USD Index | FTSE China Incl A 25% Technology Capped Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.74% | 0.65% |
| Inception Date | 2004-10-05 | 2009-12-08 |
| Number Of Holdings | 52 | 151 |
| Region | China | China |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Non-leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
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
End of Year Returns Table
End of Year Returns
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
Drawdowns Table
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.