Oil Gas Ultrasector Fund Market Value
| ENPIX Fund | USD 41.45 0.32 0.77% |
| Symbol | Oil |
Oil Gas 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Oil Gas' mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Oil Gas.
| 03/10/2023 |
| 02/27/2025 |
If you would invest 0.00 in Oil Gas on March 10, 2023 and sell it all today you would earn a total of 0.00 from holding Oil Gas Ultrasector or generate 0.0% return on investment in Oil Gas over 720 days. Oil Gas is related to or competes with Precious Metals, Real Estate, Basic Materials, Utilities Ultrasector, and Financials Ultrasector. The fund invests in financial instruments that the fund advisors believes, in combination, should produce daily returns ... More
Oil Gas Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Oil Gas' mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Oil Gas Ultrasector upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 7.38 | |||
| Value At Risk | (3.56) | |||
| Potential Upside | 2.06 |
Oil Gas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oil Gas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oil Gas' standard deviation. In reality, there are many statistical measures that can use Oil Gas historical prices to predict the future Oil Gas' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.20) |
Oil Gas Ultrasector Backtested Returns
Oil Gas Ultrasector maintains Sharpe Ratio (i.e., Efficiency) of -0.0876, which implies the entity had a -0.0876 % return per unit of risk over the last 3 months. Oil Gas Ultrasector exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oil Gas' Coefficient Of Variation of (1,247), variance of 3.13, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The fund holds a Beta of 0.78, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oil Gas' returns are expected to increase less than the market. However, during the bear market, the loss of holding Oil Gas is expected to be smaller as well.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Oil Gas Ultrasector has insignificant reverse predictability. Overlapping area represents the amount of predictability between Oil Gas time series from 10th of March 2023 to 4th of March 2024 and 4th of March 2024 to 27th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oil Gas Ultrasector price movement. The serial correlation of -0.19 indicates that over 19.0% of current Oil Gas price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 5.06 |
Oil Gas Ultrasector lagged returns against current returns
Autocorrelation, which is Oil Gas mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Oil Gas' mutual fund expected returns. We can calculate the autocorrelation of Oil Gas returns to help us make a trade decision. For example, suppose you find that Oil Gas has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Oil Gas regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Oil Gas mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oil Gas mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oil Gas mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oil Gas Lagged Returns
When evaluating Oil Gas' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oil Gas mutual fund have on its future price. Oil Gas autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Oil Gas autocorrelation shows the relationship between Oil Gas mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oil Gas Ultrasector.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Oil Mutual Fund
Oil Gas financial ratios help investors to determine whether Oil Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oil with respect to the benefits of owning Oil Gas security.
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