FBGX vs. MLPB - ETF Comparison
FBGX - UBS AG FI Enhanced Large Cap Growth ETN
The UBS AG FI Enhanced Large Cap Growth ETN (FBGX) is a leveraged equity exchange-traded note that seeks to provide 2x daily exposure to the Russell 1000 Growth Index, which tracks the performance of large-cap growth stocks in the US market. The fund employs a multi-factor weighting scheme and has a growth investment style.
MLPB - ETRACS Alerian MLP Infrastructure Index ETN Series B
The ETRACS Alerian MLP Infrastructure Index ETN Series B is an exchange-traded note that tracks the performance of the Alerian MLP Infrastructure Index, providing investors with exposure to a diversified portfolio of US-based master limited partnerships (MLPs) operating in the energy sector.
| FBGX | MLPB | |
|---|---|---|
| Fund Name | UBS AG FI Enhanced Large Cap Growth ETN | ETRACS Alerian MLP Infrastructure Index ETN Series B |
| Fund Provider | UBS | UBS |
| Index | Russell 1000 Growth Index (200%) | Alerian MLP Infrastructure Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.29% | 0.85% |
| Inception Date | 2014-06-11 | 2015-10-08 |
| Number Of Holdings | 445 | 19 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Blend |
| 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.