ETF Comparison: IN0B vs XZSP
ETF 说明
IN0B - BNP Paribas Easy S&P 500 ESG UCITS ETF EUR Capitalisation
The BNP Paribas Easy S&P 500 ESG UCITS ETF EUR Capitalisation is an exchange-traded fund that tracks the S&P 500 ESG index, providing exposure to large-cap US companies selected by environmental, social, and governance (ESG) criteria. The fund aims to replicate the performance of the underlying index through full replication, with a low expense ratio of 0.12% p.a.. The ETF distributes dividends by accumulating and reinvesting them, and is domiciled in Ireland.
XZSP - Xtrackers S&P 500 ESG UCITS ETF 1C
The Xtrackers S&P 500 ESG UCITS ETF 1C is an exchange-traded fund that tracks the S&P 500 ESG index, which comprises the largest US companies selected by environmental, social, and governance (ESG) criteria. The fund provides exposure to the US equity market with a focus on ESG principles, and is designed to replicate the performance of the underlying index through full replication.
比较表
| IN0B | XZSP | |
|---|---|---|
| 基金名称 | BNP Paribas Easy S&P 500 ESG UCITS ETF EUR Capitalisation | Xtrackers S&P 500 ESG UCITS ETF 1C |
| Fund Provider | BNP Paribas | Deutsche Bank |
| Index | S&P 500 ESG | S&P 500 ESG |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.12% | 0.08% |
| Inception Date | 2023-04-26 | 2022-12-06 |
| Number Of Holdings | 323 | 323 |
| Currency | EUR | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | United States |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Non-leveraged | Non-leveraged |
回测选项
摘要
关键指标
绩效指标
风险指标
详细报酬
绩效分析
绩效分析透过累积报酬、年底（EoY）报酬及 Sharpe 比率、Sortino 比率等风险调整指标，评估历史资料以衡量投资策略报酬。这有助于投资人在不同市场條件下评估绝对和相对绩效。
累积报酬
年底报酬表
年底报酬
风险分析
风险分析是指对可能导致资本损失的潜在负面事件进行评估。进行风险分析有助于决定是否应进行投资。这是透过回撤、波动率和 Beta 等风险指标来完成的，这些指标反映了利益相关者对投资策略一致性的信心。
回撤
回撤表
Monte Carlo 模拟
Monte Carlo 模拟是一种统计方法，透过从历史资产价格资料中随机抽样产生大量潜在结果，用以预测投资组合报酬。它协助投资人评估各种市场條件下投资组合的潜在风险和报酬。模拟考虑初始投资，并可选择性地模拟现金流情境，如固定投入、固定提款或比例提款。
重要提示：透过 Monte Carlo 模拟产生的预测纯屬假设性質，不保证未来报酬。投资决策应考量多种因素，过去表现不代表未来结果。