ETF Comparison: SJB vs SBND

比較選擇

SJB
SBND

ETF 說明

SJB - ProShares Short High Yield

The ProShares Short High Yield ETF provides daily inverse exposure to the iBoxx $ Liquid High Yield Index, allowing investors to bet against the performance of junk bonds in the US market. This fund is designed for tactical investors seeking to hedge against potential downturns in the high-yield bond sector, rather than for long-term portfolio building.

SBND - Columbia Short Duration Bond ETF

The Columbia Short Duration Bond ETF (SBND) is a leveraged bond fund that provides -3x short exposure to the broad-based Deutsche Bank Long U.S. Treasury Bond Futures Index. It is designed for sophisticated investors with a bearish short-term outlook for U.S. long-term treasuries, offering a powerful tool for those who understand the risks and complexities of leveraged debt investments.

比較表

SJBSBND
基金名稱ProShares Short High YieldColumbia Short Duration Bond ETF
Fund ProviderProshare Advisors LLCAmeriprise Financial
IndexiBoxx $ Liquid High Yield Index (-100%)Bloomberg Beta Advantage Short Term Bond (--300%)
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.95%0.25%
Inception Date2011-03-212021-09-21
CurrencyUSDUSD
RegionUnited StatesUnited States
SectorFinancialsFinancials
Sector DetailHigh Yield BondsGovernment Bonds
Bond TypeHigh Yield BondsGovernment Bonds
LeveragedLeveragedLeveraged

回測選項

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摘要

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關鍵指標

績效指標

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風險指標

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詳細報酬

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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

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年底報酬表

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年底報酬

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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

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回撤表

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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。

Monte Carlo 指標

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模擬投資組合價格

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SJB vs SBND - ETF Comparison · PortfolioMetrics