ETF Comparison: SPYG vs XLF
ETF 说明
SPYG - SPDR Portfolio S&P 500 Growth ETF
The SPDR Portfolio S&P 500 Growth ETF tracks the S&P 500 Growth Index, providing exposure to large-cap growth companies in the US equity market. It offers a diversified portfolio of over 230 holdings, with a focus on technology, industrials, healthcare, and consumer goods. This ETF is suitable for investors seeking long-term capital appreciation and willing to take on the associated risks.
XLF - Financial Select Sector SPDR Fund
The Financial Select Sector SPDR Fund is an equity ETF that tracks the S&P Financial Select Sector Index, providing exposure to a diversified portfolio of large-cap financial companies in the US. The fund offers a broad-based investment approach, covering various industries such as banking, insurance, real estate, and consumer finance. With a blend investment style, it seeks to provide a balance between growth and value. The fund is suitable for investors seeking to gain exposure to the US financial sector, which is heavily influenced by US policy and regulations.
比较表
| SPYG | XLF | |
|---|---|---|
| 基金名称 | SPDR Portfolio S&P 500 Growth ETF | Financial Select Sector SPDR Fund |
| Fund Provider | State Street | State Street |
| Index | S&P 500 Growth Index | S&P Financial Select Sector Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.04% | 0.09% |
| Inception Date | 2000-09-25 | 1998-12-16 |
| Number Of Holdings | 232 | 73 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Financials |
| Sector Detail | Software | Banks & Insurance |
| 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。