ETF Comparison: DBPD vs DBPG

比較選擇

DBPD
DBPG

ETF 說明

DBPD - Xtrackers ShortDAX x2 Daily Swap UCITS ETF 1C

The Xtrackers ShortDAX x2 Daily Swap UCITS ETF 1C is an exchange-traded fund that seeks to provide investors with a short exposure to the German equity market, with a daily leverage of 2x. The fund tracks the ShortDAX Leverage (2x) index, which is designed to provide a two times leveraged inverse performance of the DAX index, comprising the 40 largest and most traded German stocks listed on the Frankfurt Stock Exchange.

DBPG - Xtrackers S&P 500 2x Leveraged Daily Swap UCITS ETF 1C

The Xtrackers S&P 500 2x Leveraged Daily Swap UCITS ETF 1C is an exchange-traded fund that seeks to provide two times the daily performance of the S&P 500 index, which tracks large-cap US stocks. The fund uses a synthetic replication method with a swap and has an expense ratio of 0.60% p.a.. It is domiciled in Luxembourg and has a total fund size of approximately 314 million USD.

比較表

DBPDDBPG
基金名稱Xtrackers ShortDAX x2 Daily Swap UCITS ETF 1CXtrackers S&P 500 2x Leveraged Daily Swap UCITS ETF 1C
Fund ProviderDeutsche BankDeutsche Bank
IndexShortDAX® Leverage (2x)S&P 500® Leverage (2x)
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.6%0.6%
Inception Date2010-03-182010-03-18
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionGermanyUnited States
LeveragedLeveragedLeveraged

回測選項

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

關鍵指標

績效指標

Run the backtest to get the results

風險指標

Run the backtest to get the results

詳細報酬

Run the backtest to get the results

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

Run the backtest to get the results

年底報酬表

Run the backtest to get the results

年底報酬

Run the backtest to get the results

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

Run the backtest to get the results

回撤表

Run the backtest to get the results

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

Run the backtest to get the results

模擬投資組合價格

Run the backtest to get the results
幫助
DBPD vs DBPG - ETF Comparison · PortfolioMetrics