Energy Services Fund Market Value
| RYVIX Fund | USD 256.69 0.03 0.01% |
| Symbol | Energy |
Energy Services '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 Energy Services' 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 Energy Services.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Energy Services on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Energy Services Fund or generate 0.0% return on investment in Energy Services over 30 days. Energy Services is related to or competes with Basic Materials, Electronics Fund, Health Care, and Precious Metals. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Energy Services... More
Energy Services 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 Energy Services' 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 Energy Services Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.1004 | |||
| Maximum Drawdown | 5.47 | |||
| Value At Risk | (2.18) | |||
| Potential Upside | 2.16 |
Energy Services Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Energy Services' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Energy Services' standard deviation. In reality, there are many statistical measures that can use Energy Services historical prices to predict the future Energy Services' volatility.| Risk Adjusted Performance | 0.1001 | |||
| Jensen Alpha | 0.1226 | |||
| Total Risk Alpha | 0.0659 | |||
| Sortino Ratio | 0.1089 | |||
| Treynor Ratio | 0.1681 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Energy Services' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Energy Services Backtested Returns
We consider Energy Services very steady. Energy Services secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Energy Services Fund, which you can use to evaluate the volatility of the entity. Please confirm Energy Services' Mean Deviation of 1.04, downside deviation of 1.19, and Coefficient Of Variation of 651.1 to check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund shows a Beta (market volatility) of 1.12, which means a somewhat significant risk relative to the market. Energy Services returns are very sensitive to returns on the market. As the market goes up or down, Energy Services is expected to follow.
Auto-correlation | -0.94 |
Near perfect reversele predictability
Energy Services Fund has near perfect reversele predictability. Overlapping area represents the amount of predictability between Energy Services time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Energy Services price movement. The serial correlation of -0.94 indicates that approximately 94.0% of current Energy Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.94 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 63.22 |
Energy Services lagged returns against current returns
Autocorrelation, which is Energy Services 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 Energy Services' mutual fund expected returns. We can calculate the autocorrelation of Energy Services returns to help us make a trade decision. For example, suppose you find that Energy Services 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 |
Energy Services 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 Energy Services mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Energy Services mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Energy Services mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Energy Services Lagged Returns
When evaluating Energy Services' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Energy Services mutual fund have on its future price. Energy Services 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, Energy Services autocorrelation shows the relationship between Energy Services mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Energy Services Fund.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Energy Services Correlation, Energy Services Volatility and Energy Services Alpha and Beta module to complement your research on Energy Services. For more information on how to buy Energy Mutual Fund please use our How to Invest in Energy Services guide.You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Energy Services technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.