UIMT vs. CEBL - ETF Comparison
UIMT - UBS ETF (LU) MSCI Pacific Socially Responsible UCITS ETF (USD) A-dis
The UBS ETF (LU) MSCI Pacific Socially Responsible UCITS ETF (USD) A-dis is an equity fund that tracks the MSCI Pacific SRI Low Carbon Select 5% Issuer Capped index, focusing on companies with high Environmental, Social and Governance (ESG) ratings in the Asia-Pacific region. The fund adopts a long-only strategy and distributes dividends semi-annually, with a total expense ratio of 0.28%.
CEBL - iShares MSCI EM Asia UCITS ETF (Acc)
The iShares MSCI EM Asia UCITS ETF (Acc) is an equity fund that tracks the MSCI Emerging Markets Asia index, providing exposure to large and mid-cap companies from Asian emerging markets. The fund is accumulating, meaning dividends are reinvested in the ETF, and has a low expense ratio of 0.20% p.a..
| UIMT | CEBL | |
|---|---|---|
| Fund Name | UBS ETF (LU) MSCI Pacific Socially Responsible UCITS ETF (USD) A-dis | iShares MSCI EM Asia UCITS ETF (Acc) |
| Fund Provider | UBS | BlackRock |
| Index | MSCI Pacific SRI Low Carbon Select 5% Issuer Capped | MSCI Emerging Markets Asia |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.28% | 0.2% |
| Inception Date | 2011-08-22 | 2010-08-06 |
| Number Of Holdings | 87 | 1133 |
| Currency | USD | USD |
| Distribution Policy | Distributing | Accumulating |
| Region | Asia-Pacific | Asia-Pacific |
| 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.