Domini Impact Mutual Fund Forecast - 20 Period Moving Average
| DSFRX Fund | USD 39.73 0.26 0.66% |
The 20 Period Moving Average forecasted value of Domini Impact Equity on the next trading day is expected to be 39.15 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 19.42. Domini Mutual Fund Forecast is based on your current time horizon.
Domini |
Domini Impact 20 Period Moving Average Price Forecast For the 1st of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of Domini Impact Equity on the next trading day is expected to be 39.15 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.30, and the sum of the absolute errors of 19.42.Please note that although there have been many attempts to predict Domini 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 Domini Impact's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Domini Impact Mutual Fund Forecast Pattern
| Backtest Domini Impact | Domini Impact Price Prediction | Buy or Sell Advice |
Domini Impact Forecasted Value
In the context of forecasting Domini Impact's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Domini Impact's downside and upside margins for the forecasting period are 38.39 and 39.91, respectively. We have considered Domini Impact's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Domini Impact mutual fund data series using in forecasting. Note that when a statistical model is used to represent Domini Impact 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 | 80.1562 |
| Bias | Arithmetic mean of the errors | -0.375 |
| MAD | Mean absolute deviation | 0.4736 |
| MAPE | Mean absolute percentage error | 0.0122 |
| SAE | Sum of the absolute errors | 19.419 |
Predictive Modules for Domini Impact
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Domini Impact Equity. 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.Other Forecasting Options for Domini Impact
For every potential investor in Domini, whether a beginner or expert, Domini Impact's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Domini Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Domini. Basic forecasting techniques help filter out the noise by identifying Domini Impact's price trends.Domini Impact 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 Domini Impact mutual fund to make a market-neutral strategy. Peer analysis of Domini Impact could also be used in its relative valuation, which is a method of valuing Domini Impact by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Domini Impact Equity Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Domini Impact's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Domini Impact's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Domini Impact Market Strength Events
Market strength indicators help investors to evaluate how Domini Impact 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 Domini Impact shares will generate the highest return on investment. By undertsting and applying Domini Impact mutual fund market strength indicators, traders can identify Domini Impact Equity entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 39.73 | |||
| Day Typical Price | 39.73 | |||
| Price Action Indicator | 0.13 | |||
| Period Momentum Indicator | 0.26 | |||
| Relative Strength Index | 71.45 |
Domini Impact Risk Indicators
The analysis of Domini Impact'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 Domini Impact's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting domini 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 | 0.5964 | |||
| Semi Deviation | 0.7426 | |||
| Standard Deviation | 0.8099 | |||
| Variance | 0.656 | |||
| Downside Variance | 0.8195 | |||
| Semi Variance | 0.5514 | |||
| Expected Short fall | (0.63) |
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.Other Information on Investing in Domini Mutual Fund
Domini Impact financial ratios help investors to determine whether Domini 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 Domini with respect to the benefits of owning Domini Impact security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories |