Energy Services Fund Market Value
| RYVAX Fund | USD 220.04 1.25 0.57% |
| 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.
| 12/05/2023 |
| 11/29/2024 |
If you would invest 0.00 in Energy Services on December 5, 2023 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 360 days. Energy Services is related to or competes with Davis Financial, Icon Financial, Vanguard Financials, and Fidelity Advisor. 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 | 1.79 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 10.74 | |||
| Value At Risk | (3.08) | |||
| Potential Upside | 2.62 |
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 | 0.0084 | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0) |
Energy Services Backtested Returns
At this stage we consider Energy Mutual Fund to be very steady. Energy Services secures Sharpe Ratio (or Efficiency) of 0.0514, which denotes the fund had a 0.0514% 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' Coefficient Of Variation of 34428.9, downside deviation of 1.79, and Mean Deviation of 1.41 to check if the risk estimate we provide is consistent with the expected return of 0.099%. The fund shows a Beta (market volatility) of 1.45, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Energy Services will likely underperform.
Auto-correlation | -0.59 |
Good reverse predictability
Energy Services Fund has good reverse predictability. Overlapping area represents the amount of predictability between Energy Services time series from 5th of December 2023 to 2nd of June 2024 and 2nd of June 2024 to 29th of November 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 -0.59 indicates that roughly 59.0% of current Energy Services price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 157.45 |
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 |
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 Energy Mutual Fund
Energy Services financial ratios help investors to determine whether Energy 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 Energy with respect to the benefits of owning Energy Services security.
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |