Energy Fund Class Fund Market Value
| RYENX Fund | USD 258.65 1.39 0.54% |
| 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.
| 07/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Energy Fund on July 28, 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 270 days. Energy Fund is related to or competes with Basic Materials, Basic Materials, Banking Fund, Basic Materials, Sp Midcap, Basic Materials, and Biotechnology Fund. 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 | 0.9067 | |||
| Information Ratio | 0.1583 | |||
| Maximum Drawdown | 4.39 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.54 |
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 | 0.1586 | |||
| Jensen Alpha | 0.1525 | |||
| Total Risk Alpha | 0.1067 | |||
| Sortino Ratio | 0.1556 | |||
| Treynor Ratio | 0.2551 |
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
Energy Fund appears to be very steady, given 3 months investment horizon. Energy Fund Class secures Sharpe Ratio (or Efficiency) of 0.24, which denotes the fund had a 0.24% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Energy Fund Class, which you can use to evaluate the volatility of the entity. Please utilize Energy Fund's Downside Deviation of 0.9067, mean deviation of 0.698, and Coefficient Of Variation of 393.57 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.85, 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 | -0.69 |
Very good reverse predictability
Energy Fund Class has very good reverse predictability. Overlapping area represents the amount of predictability between Energy Fund time series from 28th of July 2023 to 10th of December 2023 and 10th of December 2023 to 23rd 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 Fund Class price movement. The serial correlation of -0.69 indicates that around 69.0% of current Energy Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 169.68 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Energy Fund in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Energy Fund's short interest history, or implied volatility extrapolated from Energy Fund options trading.
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Check out Energy Fund Correlation, Energy Fund Volatility and Energy Fund Alpha and Beta module to complement your research on Energy Fund. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Energy Fund 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.