ETF Comparison: JREC vs FEBB

比较选择

JREC
FEBB

ETF 说明

JREC - JPMorgan China A Research Enhanced Index Equity (ESG) UCITS ETF USD (acc)

The JPMorgan China A Research Enhanced Index Equity (ESG) UCITS ETF USD (acc) is an actively managed ETF that invests in Chinese A-Shares, seeking to generate a higher return than the MSCI China A index while avoiding companies with negative ESG impacts.

FEBB - First Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A Accumulation

The First Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A Accumulation is an actively managed ETF that tracks the performance of the S&P 500 while using put options to buffer investors against the first 15% of losses each year. The ETF has a total expense ratio of 0.85% and is domiciled in Ireland.

比较表

JRECFEBB
基金名称JPMorgan China A Research Enhanced Index Equity (ESG) UCITS ETF USD (acc)First Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A Accumulation
Fund ProviderJPMorgan ChaseFirst Trust
IndexJP Morgan China A Research Enhanced Index Equity (ESG)First Trust Vest U.S. Equity Moderate Buffer
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.4%0.85%
Inception Date2022-02-152024-02-19
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionChinaUnited States
Investment StyleActiveActive
LeveragedNon-leveragedNon-leveraged

回测选项

1年前
3年前
5年前
7年前
10年前
20年前
30年前
年初
今天

摘要

Run the backtest to get the results

关键指标

绩效指标

Run the backtest to get the results

风险指标

Run the backtest to get the results

详细报酬

Run the backtest to get the results

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

Run the backtest to get the results

年底报酬表

Run the backtest to get the results

年底报酬

Run the backtest to get the results

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

Run the backtest to get the results

回撤表

Run the backtest to get the results

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

Run the backtest to get the results

模拟投资组合价格

Run the backtest to get the results
帮助
JREC vs FEBB - ETF Comparison · PortfolioMetrics