Guggenheim Energy Mutual Fund Forecast - Polynomial Regression
| XGEIXDelisted Fund | USD 613.36 0.00 0.00% |
The Polynomial Regression forecasted value of Guggenheim Energy Income on the next trading day is expected to be 611.90 with a mean absolute deviation of 1.08 and the sum of the absolute errors of 66.07. Guggenheim Mutual Fund Forecast is based on your current time horizon.
Guggenheim |
Guggenheim Energy Polynomial Regression Price Forecast For the 28th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Guggenheim Energy Income on the next trading day is expected to be 611.90 with a mean absolute deviation of 1.08, mean absolute percentage error of 2.08, and the sum of the absolute errors of 66.07.Please note that although there have been many attempts to predict Guggenheim Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Guggenheim Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Guggenheim Energy Mutual Fund Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Guggenheim Energy mutual fund data series using in forecasting. Note that when a statistical model is used to represent Guggenheim Energy mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 118.842 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0831 |
| MAPE | Mean absolute percentage error | 0.0018 |
| SAE | Sum of the absolute errors | 66.0718 |
Predictive Modules for Guggenheim Energy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Guggenheim Energy Income. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Guggenheim Energy Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Guggenheim Energy mutual fund to make a market-neutral strategy. Peer analysis of Guggenheim Energy could also be used in its relative valuation, which is a method of valuing Guggenheim Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Guggenheim Energy Market Strength Events
Market strength indicators help investors to evaluate how Guggenheim Energy mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Guggenheim Energy shares will generate the highest return on investment. By undertsting and applying Guggenheim Energy mutual fund market strength indicators, traders can identify Guggenheim Energy Income entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 613.36 | |||
| Day Typical Price | 613.36 | |||
| Relative Strength Index | 69.11 |
Guggenheim Energy Risk Indicators
The analysis of Guggenheim Energy's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Guggenheim Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting guggenheim mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.0795 | |||
| Semi Deviation | 0.0414 | |||
| Standard Deviation | 0.1337 | |||
| Variance | 0.0179 | |||
| Downside Variance | 0.0149 | |||
| Semi Variance | 0.0017 | |||
| Expected Short fall | (0.08) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Consideration for investing in Guggenheim Mutual Fund
If you are still planning to invest in Guggenheim Energy Income check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Guggenheim Energy's history and understand the potential risks before investing.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |