ETF Comparison: IHI vs IBB

比较选择

IHI
IBB

ETF 说明

IHI - iShares U.S. Medical Devices ETF

The iShares U.S. Medical Devices ETF provides exposure to the medical device industry, offering a unique blend of stable revenue streams and growth potential. The fund tracks the DJ US Select / Medical Equipment index, investing in large-cap companies in the United States. With a focus on health care equipment, this ETF can help investors diversify their portfolios and gain targeted exposure to the medical device sector.

IBB - iShares Biotechnology ETF

The iShares Biotechnology ETF provides exposure to the biotechnology sub-sector of the health care industry, investing in a diversified portfolio of over 200 stocks. The fund focuses on U.S. biotechnology companies, with a smaller allocation to international firms, and employs a tiered weighting scheme. It offers a multi-cap approach, investing in large, mid, and small-cap stocks, making it a comprehensive option for investors seeking biotech exposure.

比较表

IHIIBB
基金名称iShares U.S. Medical Devices ETFiShares Biotechnology ETF
Fund ProviderBlackRockBlackRock
IndexDJ US Select / Medical EquipmentICE Biotechnology Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.40%0.45%
Inception Date2006-05-012001-02-05
Number Of Holdings52211
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapLarge-CapBlend
SectorHealthcareHealthcare
Sector DetailMedical DevicesBiotechnology
LeveragedNon-leveragedNon-leveraged

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摘要

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关键指标

绩效指标

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风险指标

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详细报酬

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绩效分析

绩效分析透过累积报酬、年底(EoY)报酬及 Sharpe 比率、Sortino 比率等风险调整指标,评估历史资料以衡量投资策略报酬。这有助于投资人在不同市场條件下评估绝对和相对绩效。

累积报酬

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年底报酬表

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年底报酬

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风险分析

风险分析是指对可能导致资本损失的潜在负面事件进行评估。进行风险分析有助于决定是否应进行投资。这是透过回撤、波动率和 Beta 等风险指标来完成的,这些指标反映了利益相关者对投资策略一致性的信心。

回撤

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回撤表

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Monte Carlo 模拟

Monte Carlo 模拟是一种统计方法,透过从历史资产价格资料中随机抽样产生大量潜在结果,用以预测投资组合报酬。它协助投资人评估各种市场條件下投资组合的潜在风险和报酬。模拟考虑初始投资,并可选择性地模拟现金流情境,如固定投入、固定提款或比例提款。

重要提示:透过 Monte Carlo 模拟产生的预测纯屬假设性質,不保证未来报酬。投资决策应考量多种因素,过去表现不代表未来结果。

Monte Carlo 指标

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模拟投资组合价格

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IHI vs IBB - ETF Comparison · PortfolioMetrics