IJH vs. XMHQ - ETF Comparison
IJH - iShares Core S&P Mid-Cap ETF
The iShares Core S&P Mid-Cap ETF provides diversified exposure to mid-cap U.S. stocks, making it a suitable addition to long-term, buy-and-hold portfolios. With a competitive expense ratio, this fund offers a balanced portfolio of nearly 400 individual stocks, weighted by market capitalization.
XMHQ - Invesco S&P MidCap Quality ETF
The Invesco S&P MidCap Quality ETF is an equity fund that tracks an index of high-quality U.S. mid-cap stocks with strong balance sheets and financial fundamentals. The fund's multi-factor approach assesses return on equity, operating assets, and financial leverage to select approximately 80 top-scoring stocks. The portfolio is weighted based on a combination of market capitalization and quality scores, offering a targeted mid-cap exposure with a quality overlay.
| IJH | XMHQ | |
|---|---|---|
| Fund Name | iShares Core S&P Mid-Cap ETF | Invesco S&P MidCap Quality ETF |
| Fund Provider | BlackRock | Invesco |
| Index | S&P MidCap 400 | S&P MidCap 400 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.05% | 0.25% |
| Inception Date | 2000-05-22 | 2006-12-01 |
| Number Of Holdings | 403 | 82 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Mid-Cap | Mid-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.