ETF Comparison: FJP vs DXJ
ETF 说明
FJP - First Trust Japan AlphaDEX Fund
The First Trust Japan AlphaDEX Fund is an equity fund that provides broad exposure to the Japanese market, investing in large-cap companies across various sectors. The fund employs a multi-factor approach, using a tiered weighting scheme to select securities, with the aim of potentially avoiding some of the worst names in the index. This fund may be suitable for investors seeking tactical exposure to Japanese equities while benefiting from First Trust's AlphaDEX methodology.
DXJ - WisdomTree Japan Hedged Equity Fund
The WisdomTree Japan Hedged Equity Fund (DXJ) provides investors with broad-based exposure to the Japanese equity market, hedging out currency fluctuations to offer a 'pure play' on Japanese stock performance. This ETF is suitable for investors who believe in the potential of Japanese equities but are wary of yen fluctuations. With a focus on large-cap companies, DXJ implements its strategy at a relatively lower cost compared to individual investors, making it a quality pick for those seeking to mitigate currency risks.
比较表
| FJP | DXJ | |
|---|---|---|
| 基金名称 | First Trust Japan AlphaDEX Fund | WisdomTree Japan Hedged Equity Fund |
| Fund Provider | First Trust | WisdomTree |
| Index | NASDAQ AlphaDEX Japan Index | WisdomTree Japan Hedged Equity Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.80% | 0.48% |
| Inception Date | 2011-04-18 | 2006-06-16 |
| Number Of Holdings | 101 | 444 |
| Region | Japan | Japan |
| Investment Style | Blend | Blend |
| 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。