ETF Comparison: FXD vs VYM
ETF 說明
FXD - First Trust Consumer Discretionary AlphaDEX Fund
The First Trust Consumer Discretionary AlphaDEX Fund is an equity ETF that tracks the StrataQuant Consumer Discretionary Index, providing exposure to the U.S. consumer discretionary sector. It employs a unique quant-based screening methodology to identify stocks poised for outperformance, offering a diversified portfolio with lower concentration of top holdings compared to traditional cap-weighted funds.
VYM - Vanguard High Dividend Yield Index ETF
The Vanguard High Dividend Yield Index ETF is a large-cap blend equity fund that tracks the FTSE High Dividend Yield Index, providing exposure to dividend-paying companies in the US equity market. The fund focuses on high-dividend yield stocks, offering a broad-based portfolio with a tilt towards consumer, energy, and industrials sectors. With a low expense ratio, this ETF is suitable for long-term buy-and-hold investors seeking stable income and diversification.
比較表
| FXD | VYM | |
|---|---|---|
| 基金名稱 | First Trust Consumer Discretionary AlphaDEX Fund | Vanguard High Dividend Yield Index ETF |
| Fund Provider | First Trust | Vanguard |
| Index | StrataQuant Consumer Discretionary Index | FTSE Custom High Dividend Yield |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.61% | 0.06% |
| Inception Date | 2007-05-08 | 2006-11-10 |
| Number Of Holdings | 121 | 557 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Large-Cap |
| Sector | Consumer Discretionary | Consumer Discretionary |
| Leveraged | Non-leveraged | Non-leveraged |
回測選項
摘要
關鍵指標
績效指標
風險指標
詳細報酬
績效分析
績效分析透過累積報酬、年底（EoY）報酬及 Sharpe 比率、Sortino 比率等風險調整指標，評估歷史資料以衡量投資策略報酬。這有助於投資人在不同市場條件下評估絕對和相對績效。
累積報酬
年底報酬表
年底報酬
風險分析
風險分析是指對可能導致資本損失的潛在負面事件進行評估。進行風險分析有助於決定是否應進行投資。這是透過回撤、波動率和 Beta 等風險指標來完成的，這些指標反映了利益相關者對投資策略一致性的信心。
回撤
回撤表
Monte Carlo 模擬
Monte Carlo 模擬是一種統計方法，透過從歷史資產價格資料中隨機抽樣產生大量潛在結果，用以預測投資組合報酬。它協助投資人評估各種市場條件下投資組合的潛在風險和報酬。模擬考慮初始投資，並可選擇性地模擬現金流情境，如固定投入、固定提款或比例提款。
重要提示：透過 Monte Carlo 模擬產生的預測純屬假設性質，不保證未來報酬。投資決策應考量多種因素，過去表現不代表未來結果。