ETF Comparison: VCSH vs SPSB
ETF 說明
VCSH - Vanguard Short-Term Corporate Bond ETF
The Vanguard Short-Term Corporate Bond ETF provides exposure to investment grade corporate bonds with short-term maturities, offering a moderate level of credit risk while limiting exposure to rising interest rates. This low-cost ETF is suitable for investors seeking to enhance fixed income returns through additional credit risk while shortening effective duration.
SPSB - SPDR Portfolio Short Term Corporate Bond ETF
The SPDR Portfolio Short Term Corporate Bond ETF is an investment-grade corporate bond fund that tracks the Bloomberg U.S. 1-3 Year Corporate Bond Index, providing exposure to U.S.-dollar denominated, fixed-rate debt with a remaining maturity ranging from one to three years. The fund aims to enhance fixed income returns while reducing interest-rate risk, making it suitable for investors seeking a relatively safe way to generate yield.
比較表
| VCSH | SPSB | |
|---|---|---|
| 基金名稱 | Vanguard Short-Term Corporate Bond ETF | SPDR Portfolio Short Term Corporate Bond ETF |
| Fund Provider | Vanguard | State Street |
| Index | Bloomberg US Corporate (1-5 Y) | Bloomberg U.S. 1-3 Year Corporate Bond Index |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.04% | 0.04% |
| Inception Date | 2009-11-19 | 2009-12-16 |
| Number Of Holdings | 2595 | 1450 |
| Currency | USD | USD |
| Region | Developed Markets | United States |
| Sector | Financials | Financials |
| Sector Detail | Corporate Bonds | Banks |
| Bond Type | Corporate Bonds | Corporate Bonds |
| 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。