XGDU vs. CMOD - ETF Comparison
XGDU - Xtrackers IE Physical Gold ETC Securities
The Xtrackers IE Physical Gold ETC Securities tracks the spot price of gold in US Dollar, providing investors with a cost-effective way to gain exposure to the precious metal. With a low expense ratio of 0.11% and a large fund size of 3,123 million Euro, this ETC offers a convenient way to diversify a portfolio.
CMOD - Invesco Bloomberg Commodity UCITS ETF Acc
The Invesco Bloomberg Commodity UCITS ETF Acc is a commodity-focused exchange-traded fund that tracks the Bloomberg Commodity index, providing exposure to a broad range of commodities including energy, precious metals, industrial metals, livestock, and agriculture.
| XGDU | CMOD | |
|---|---|---|
| Fund Name | Xtrackers IE Physical Gold ETC Securities | Invesco Bloomberg Commodity UCITS ETF Acc |
| Fund Provider | Deutsche Bank | Invesco |
| Index | Gold | Bloomberg Commodity |
| Asset Class | Commodity | Commodity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.11% | 0.19% |
| Inception Date | 2020-04-22 | 2017-01-09 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | Global | Global |
| 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.