ETF Comparison: OIH vs GDXJ
ETF 說明
OIH - VanEck Oil Services ETF
The VanEck Oil Services ETF is an equity fund that tracks the largest 25 U.S.-listed oil service companies, providing investors with exposure to the energy sector. The fund has a market capitalization-weighted approach and focuses on large-cap firms with some mid-cap representation. It offers a handsome dividend yield, making it a useful tool for income generation in a portfolio. The ETF is a tactical tool for segmenting a select few energy companies under one roof, rather than a core position.
GDXJ - VanEck Junior Gold Miners ETF
The VanEck Junior Gold Miners ETF provides investors with exposure to junior gold mining companies, offering a diversified portfolio of global gold miners. The fund tracks the MVIS Global Junior Gold Miners Index, giving investors access to a broad range of gold mining companies. With a market capitalization-weighted approach, the fund aims to provide a balanced investment opportunity in the gold mining sector.
比較表
| OIH | GDXJ | |
|---|---|---|
| 基金名稱 | VanEck Oil Services ETF | VanEck Junior Gold Miners ETF |
| Fund Provider | VanEck | VanEck |
| Index | MVIS US Listed Oil Services 25 | MVIS Global Junior Gold Miners |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.35% | 0.52% |
| Inception Date | 2001-02-07 | 2009-11-11 |
| Number Of Holdings | 26 | 89 |
| Region | Developed Markets | Developed Markets |
| Investment Style | Value | Blend |
| Market Cap | Blend | Blend |
| Sector | Energy | Materials |
| Sector Detail | Energy Equipment & Services | Gold Miners |
| 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。