PortfolioMetrics

RCRS vs. ES6Y - ETF Comparison

RCRS - Rize Cybersecurity and Data Privacy UCITS ETF

The Rize Cybersecurity and Data Privacy UCITS ETF is an equity fund that tracks the Foxberry Tematica Research Cybersecurity & Data Privacy index, investing in global publicly-traded companies that derive a significant proportion of their revenues from the cybersecurity and data privacy sector.

ES6Y - L&G Emerging Cyber Security ESG Exclusions UCITS ETF USD Accumulating

The L&G Emerging Cyber Security ESG Exclusions UCITS ETF USD Accumulating is an exchange-traded fund that tracks the Solactive Emerging Cyber Security index, investing in companies involved in providing cyber security technology and services, with a focus on environmental, social, and corporate governance (ESG) criteria.

RCRSES6Y
Fund NameRize Cybersecurity and Data Privacy UCITS ETFL&G Emerging Cyber Security ESG Exclusions UCITS ETF USD Accumulating
Fund ProviderARK InvestLegal & General
IndexFoxberry Tematica Research Cybersecurity & Data PrivacySolactive Emerging Cyber Security
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.45%0.49%
Inception Date2020-02-122022-09-01
Number Of Holdings2838
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalEmerging Markets
SectorTechnologyTechnology
Sector DetailCybersecurityCybersecurity
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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