TIGA vs. FLXI - ETF Comparison
TIGA - L&G India INR Government Bond UCITS ETF USD Acc
The L&G India INR Government Bond UCITS ETF USD Acc is an exchange-traded fund that tracks the J.P. Morgan India Government Fully Accessible Route (FAR) Bonds index, providing investors with exposure to fixed-rate Indian government bonds. The fund has a total expense ratio of 0.39% and uses a full replication strategy to track the underlying index. The ETF is denominated in USD and has a accumulating distribution policy.
FLXI - Franklin FTSE India UCITS ETF
The Franklin FTSE India UCITS ETF is an exchange-traded fund that tracks the FTSE India 30/18 Capped index, providing investors with exposure to large and medium market capitalization Indian companies. The fund employs a full replication strategy and has a total expense ratio of 0.19% per annum.
| TIGA | FLXI | |
|---|---|---|
| Fund Name | L&G India INR Government Bond UCITS ETF USD Acc | Franklin FTSE India UCITS ETF |
| Fund Provider | Legal & General | Franklin Templeton |
| Index | J.P. Morgan India Government Fully Accessible Route (FAR) Bonds | FTSE India 30/18 Capped |
| Asset Class | Bonds | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.39% | 0.19% |
| Inception Date | 2023-09-21 | 2019-06-25 |
| Number Of Holdings | 47 | 228 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | India | India |
| Leveraged | Non-leveraged | Non-leveraged |
Select Timeframe
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.