ETF Comparison: ROBT vs THNQ
ETF 说明
ROBT - First Trust Nasdaq Artificial Intelligence & Robotics ETF
The First Trust Nasdaq Artificial Intelligence & Robotics ETF is an equity fund that tracks the Nasdaq CTA Artificial Intelligence and Robotics Index, providing investors with exposure to a diversified portfolio of 108 stocks in the robotics and artificial intelligence sector. The fund is designed to capture the growth potential of companies involved in AI and robotics, with a blend investment style and a multi-cap approach.
THNQ - ROBO Global Artificial Intelligence ETF
The ROBO Global Artificial Intelligence ETF is an exchange-traded fund that tracks the ROBO Global Artificial Intelligence Index, providing investors with exposure to companies involved in the development and application of artificial intelligence. The fund holds a diversified portfolio of 59 stocks, with a focus on global robotics and AI, and follows a fundamental weighting scheme.
比较表
| ROBT | THNQ | |
|---|---|---|
| 基金名称 | First Trust Nasdaq Artificial Intelligence & Robotics ETF | ROBO Global Artificial Intelligence ETF |
| Fund Provider | First Trust | Exchange Traded Concepts |
| Index | Nasdaq CTA Artificial Intelligence and Robotics Index | ROBO Global Artificial Intelligence Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.65% | 0.68% |
| Inception Date | 2018-02-21 | 2020-05-11 |
| Number Of Holdings | 108 | 59 |
| Currency | USD | USD |
| Region | Developed Markets | Developed Markets |
| Investment Style | Blend | Growth |
| Market Cap | Blend | Blend |
| Sector | Technology | Technology |
| Sector Detail | Artificial Intelligence | Artificial Intelligence |
| 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。