Energy Fund Class Fund Market Value
| RYECX Fund | USD 211.08 0.14 0.07% |
| Symbol | Energy |
Energy Fund '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 Fund's 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 Fund.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Energy Fund on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Energy Fund Class or generate 0.0% return on investment in Energy Fund over 540 days. Energy Fund is related to or competes with Alphacentric Lifesci, Blackrock Health, Baillie Gifford, Fidelity Advisor, Alger Health, Allianzgi Health, and Prudential Health. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Energy Companie... More
Energy Fund 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 Fund's 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 Fund Class upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.35 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 1.77 |
Energy Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Energy Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Energy Fund's standard deviation. In reality, there are many statistical measures that can use Energy Fund historical prices to predict the future Energy Fund's volatility.| Risk Adjusted Performance | 0.0348 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0531 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Energy Fund's 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 Fund Class Backtested Returns
At this stage we consider Energy Mutual Fund to be very steady. Energy Fund Class secures Sharpe Ratio (or Efficiency) of 0.0828, which denotes the fund had a 0.0828% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Energy Fund Class, which you can use to evaluate the volatility of the entity. Please confirm Energy Fund's Coefficient Of Variation of 2468.42, mean deviation of 0.9257, and Downside Deviation of 1.35 to check if the risk estimate we provide is consistent with the expected return of 0.0967%. The fund shows a Beta (market volatility) of 0.74, which means possible diversification benefits within a given portfolio. As returns on the market increase, Energy Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Energy Fund is expected to be smaller as well.
Auto-correlation | 0.28 |
Poor predictability
Energy Fund Class has poor predictability. Overlapping area represents the amount of predictability between Energy Fund time series from 8th of June 2023 to 4th of March 2024 and 4th of March 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 Fund Class price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Energy Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 50.91 |
Energy Fund Class lagged returns against current returns
Autocorrelation, which is Energy Fund 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 Fund's mutual fund expected returns. We can calculate the autocorrelation of Energy Fund returns to help us make a trade decision. For example, suppose you find that Energy Fund 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 Fund 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 Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Energy Fund 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 Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Energy Fund Lagged Returns
When evaluating Energy Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Energy Fund mutual fund have on its future price. Energy Fund 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 Fund autocorrelation shows the relationship between Energy Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Energy Fund Class.
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 Fund 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 Fund security.
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