INDL vs. INDY - ETF Comparison
INDL - Direxion Daily MSCI India Bull 2X Shares
The Direxion Daily MSCI India Bull 2X Shares ETF provides investors with 2x daily long leverage to the Indus India Index, offering a powerful tool for those with a bullish short-term outlook for Indian equities. Please note that the leverage resets daily, resulting in compounding of returns when held for multiple periods, and is suitable for sophisticated investors with a high risk tolerance.
INDY - iShares India 50 ETF
The iShares India 50 ETF provides investors with exposure to the Indian equity market, tracking 50 of the largest companies in the nation. It offers a way to access the Indian market, which can be volatile, but provides higher levels of liquidity than many of its peers.
| INDL | INDY | |
|---|---|---|
| Fund Name | Direxion Daily MSCI India Bull 2X Shares | iShares India 50 ETF |
| Fund Provider | Rafferty Asset Management | BlackRock |
| Index | Indus India Index (300%) | Nifty 50 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.29% | 0.89% |
| Inception Date | 2010-03-11 | 2009-11-18 |
| Number Of Holdings | 3 | 51 |
| Region | India | India |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.
Cumulative Returns
End of Year Returns Table
End of Year Returns
Risk Analysis
The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.
Drawdowns
Drawdowns Table
Monte Carlo Simulation
The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.
IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.