ETF Comparison: FNGU vs SOXL
ETF 说明
FNGU - MicroSectors FANG+™ Index 3X Leveraged ETN
The MicroSectors FANG+ Index 3X Leveraged ETN is an exchange-traded note that aims to triple the daily return of an index of FANG stocks, including Facebook, Amazon, Apple, Netflix, and Google-parent Alphabet Inc., as well as five other technology growth stocks. The fund offers highly concentrated exposure to these companies and is intended for short-term trading by sophisticated investors.
SOXL - Direxion Daily Semiconductor Bull 3x Shares
The Direxion Daily Semiconductor Bull 3x Shares ETF provides investors with 3x daily long leverage to the ICE Semiconductor Index, making it a suitable option for those with a bullish short-term outlook for semiconductor equities in developed markets. Please note that the fund's leverage resets daily, resulting in compounding of returns when held for multiple periods.
比较表
| FNGU | SOXL | |
|---|---|---|
| 基金名称 | MicroSectors FANG+™ Index 3X Leveraged ETN | Direxion Daily Semiconductor Bull 3x Shares |
| Fund Provider | BMO Financial Group | Rafferty Asset Management |
| Index | NYSE FANG+ Index (+300%) | ICE Semiconductor Index (300%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.76% |
| Inception Date | 2018-01-22 | 2010-03-11 |
| Number Of Holdings | 10 | 31 |
| Region | United States | Developed Markets |
| Investment Style | Blend | Growth |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Technology |
| Sector Detail | Technology - Broad | Semiconductors |
| 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。