ETF Comparison: SXRM vs IUSU
ETF 說明
SXRM - iShares USD Treasury Bond 7-10yr UCITS ETF (Acc)
The iShares USD Treasury Bond 7-10yr UCITS ETF (Acc) is a bond ETF that tracks the ICE US Treasury 7-10 Year index, investing in US Dollar denominated government bonds issued by the US Treasury with a time to maturity of 7-10 years. The fund has a low expense ratio of 0.07% and uses a sampling technique to replicate the performance of the underlying index. The ETF is a large fund with over 4,269 million Euro assets under management and has been domiciled in Ireland since its inception in 2009.
IUSU - iShares USD Treasury Bond 1-3yr UCITS ETF (Dist)
The iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) is a bond ETF that tracks the ICE US Treasury 1-3 Year index, investing in US Dollar denominated government bonds issued by the US Treasury with a time to maturity of 1-3 years. The fund is designed to provide investors with a low-cost and diversified exposure to the US Treasury bond market.
比較表
| SXRM | IUSU | |
|---|---|---|
| 基金名稱 | iShares USD Treasury Bond 7-10yr UCITS ETF (Acc) | iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) |
| Fund Provider | BlackRock | BlackRock |
| Index | ICE US Treasury 7-10 Year | ICE US Treasury 1-3 Year |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.07% | 0.07% |
| Inception Date | 2009-06-03 | 2006-06-02 |
| Number Of Holdings | 13 | 91 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Distributing |
| Region | United States | United States |
| Bond Type | Government Bonds | Government 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。