ETF Comparison: XLK vs BIL
ETF 說明
XLK - Technology Select Sector SPDR Fund
The Technology Select Sector SPDR Fund (XLK) provides diversified exposure to the US technology sector, investing in a range of companies across various technology segments, including IT services, wireless telecommunication services, and semiconductors. The fund's broad-based approach and market capitalization-weighted strategy make it an ideal choice for investors seeking to gain exposure to the US technology market.
BIL - SPDR Bloomberg 1-3 Month T-Bill ETF
The SPDR Bloomberg 1-3 Month T-Bill ETF is a fixed income fund that provides exposure to the ultrashort end of the US Treasury yield curve, focusing on zero-coupon T-Bills with less than three months until maturity. It offers a low-risk investment option with minimal interest rate and credit risk, making it an attractive safe-haven asset in volatile markets.
比較表
| XLK | BIL | |
|---|---|---|
| 基金名稱 | Technology Select Sector SPDR Fund | SPDR Bloomberg 1-3 Month T-Bill ETF |
| Fund Provider | State Street | State Street |
| Index | S&P Technology Select Sector Index | Bloomberg US Treasury - Bills (1-3 M) |
| Asset Class | Equity | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.09% | 0.14% |
| Inception Date | 1998-12-16 | 2007-05-25 |
| Number Of Holdings | 69 | 18 |
| Region | United States | United States |
| 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。