PortfolioMetrics

QDV1 vs. M9SV - ETF Comparison

QDV1 - iShares Edge S&P 500 Minimum Volatility UCITS ETF USD (Dist)

The iShares Edge S&P 500 Minimum Volatility UCITS ETF USD (Dist) is an equity ETF that tracks the S&P 500 Minimum Volatility index, aiming to provide investors with a low-risk exposure to large-cap US stocks. The fund uses a sampling technique to replicate the performance of the underlying index, distributing dividends semi-annually.

M9SV - Market Access STOXX China A Minimum Variance UCITS ETF

The Market Access STOXX China A Minimum Variance UCITS ETF is an equity fund that tracks the STOXX China A 900 Minimum Variance Unconstrained AM index, focusing on Chinese companies listed on the Shanghai and Shenzhen Stock Exchanges. The fund aims to reduce volatility by selecting and weighting constituents accordingly. It has a total expense ratio of 0.45% and distributes dividends by accumulating and reinvesting them.

QDV1M9SV
Fund NameiShares Edge S&P 500 Minimum Volatility UCITS ETF USD (Dist)Market Access STOXX China A Minimum Variance UCITS ETF
Fund ProviderBlackRockMarket Access
IndexS&P 500 Minimum VolatilitySTOXX® China A 900 Minimum Variance Unconstrained AM
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.2%0.45%
Inception Date2018-02-212018-06-07
CurrencyUSDEUR
Distribution PolicyDistributingAccumulating
RegionUnited StatesChina
Investment StyleLow Volatility/Risk WeightedLow Volatility/Risk Weighted
LeveragedNon-leveragedNon-leveraged
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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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