ETF Comparison: L8I7 vs 18MF
ETF 说明
L8I7 - Amundi Nasdaq-100 Daily (2x) Leveraged UCITS ETF Acc
The Amundi Nasdaq-100 Daily (2x) Leveraged UCITS ETF Acc is a leveraged equity ETF that tracks the Nasdaq 100 Leverage (2x) index, providing two times the daily performance of the Nasdaq 100 index. The ETF focuses on technology stocks in the United States and has a large market capitalization.
18MF - Amundi ETF Leveraged MSCI USA Daily UCITS ETF EUR
The Amundi ETF Leveraged MSCI USA Daily UCITS ETF EUR is an exchange-traded fund that seeks to provide investors with a leveraged exposure to the US equity market. The fund tracks the MSCI USA Leverage (2x) index, which aims to deliver two times the daily performance of the MSCI USA index, comprising around 600 leading US stocks. With a total expense ratio of 0.50% per annum, the ETF uses a synthetic replication method with a swap to track the underlying index. The fund distributes dividends by accumulating and reinvesting them, and is domiciled in France.
比较表
| L8I7 | 18MF | |
|---|---|---|
| 基金名称 | Amundi Nasdaq-100 Daily (2x) Leveraged UCITS ETF Acc | Amundi ETF Leveraged MSCI USA Daily UCITS ETF EUR |
| Fund Provider | Amundi | Amundi |
| Index | Nasdaq 100® Leverage (2x) | MSCI USA Leverage (2x) |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.6% | 0.5% |
| Inception Date | 2006-06-27 | 2009-06-16 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | United States |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Leveraged | 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。