Gabelli Equity Fund Forecast - Simple Regression

 GAB Fund USD 5.13  0.03  0.58%
Gabelli Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Gabelli Equity stock prices and determine the direction of Gabelli Equity Trust's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Gabelli Equity historical fundamentals such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Gabelli Equity to cross-verify your projections.
 Gabelli
Most investors in Gabelli Equity cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Gabelli Equity's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Gabelli Equity's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Gabelli Equity price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Gabelli Equity Simple Regression Price Forecast For the 1st of October

Given 90 days horizon, the Simple Regression forecasted value of Gabelli Equity Trust on the next trading day is expected to be 5.14 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.006268, and the sum of the absolute errors of 4.09.
Please note that although there have been many attempts to predict Gabelli 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 Gabelli Equity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gabelli Equity Forecasted Value

In the context of forecasting Gabelli Equity's 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. Gabelli Equity's downside and upside margins for the forecasting period are 4.31 and 5.96, respectively. We have considered Gabelli Equity'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.
Market Value
 4.31Downside 5.14 Expected ValueTarget Odds 5.96Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Gabelli Equity fund data series using in forecasting. Note that when a statistical model is used to represent Gabelli Equity 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 114.876 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 0.0659 MAPE Mean absolute percentage error 0.0123 SAE Sum of the absolute errors 4.0882
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Gabelli Equity Trust historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Gabelli Equity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gabelli Equity Trust. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Gabelli Equity'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. Please use the tools below to analyze the current value of Gabelli Equity in the context of predictive analytics.
Hype
Prediction
 Low Estimated High 4.34 5.16 5.98
Intrinsic
Valuation
 Low Real High 4.88 5.70 6.52
Bollinger
Band Projection (param)
 Low Middle High 5.15 5.27 5.38
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gabelli Equity. Your research has to be compared to or analyzed against Gabelli Equity's peers to derive any actionable benefits. When done correctly, Gabelli Equity's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gabelli Equity Trust.

Other Forecasting Options for Gabelli Equity

For every potential investor in Gabelli, whether a beginner or expert, Gabelli Equity's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Gabelli Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Gabelli. Basic forecasting techniques help filter out the noise by identifying Gabelli Equity's price trends.

Gabelli Equity 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 Gabelli Equity fund to make a market-neutral strategy. Peer analysis of Gabelli Equity could also be used in its relative valuation, which is a method of valuing Gabelli Equity by comparing valuation metrics with similar companies.
 Risk & Return Correlation

Gabelli Equity Trust Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Gabelli Equity'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 Gabelli Equity's current price.
 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

Gabelli Equity Market Strength Events

Market strength indicators help investors to evaluate how Gabelli Equity fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Gabelli Equity shares will generate the highest return on investment. By undertsting and applying Gabelli Equity fund market strength indicators, traders can identify Gabelli Equity Trust entry and exit signals to maximize returns.
 Accumulation Distribution 13850.67 Daily Balance Of Power (0.21) Rate Of Daily Change 0.99 Day Median Price 5.18 Day Typical Price 5.16 Price Action Indicator (0.07)

Gabelli Equity Risk Indicators

The analysis of Gabelli Equity's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Gabelli Equity's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Gabelli Equity stock price, 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 0.654 Standard Deviation 0.8343 Variance 0.6961
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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 Gabelli Equity 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, Gabelli Equity's short interest history, or implied volatility extrapolated from Gabelli Equity options trading.

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Check out Historical Fundamental Analysis of Gabelli Equity to cross-verify your projections. Note that the Gabelli Equity Trust information on this page should be used as a complementary analysis to other Gabelli Equity's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

Complementary Tools for Gabelli Fund analysis

When running Gabelli Equity's price analysis, check to measure Gabelli Equity's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gabelli Equity is operating at the current time. Most of Gabelli Equity's value examination focuses on studying past and present price action to predict the probability of Gabelli Equity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gabelli Equity's price. Additionally, you may evaluate how the addition of Gabelli Equity to your portfolios can decrease your overall portfolio volatility.
 Equity AnalysisResearch over 250,000 global equities including funds, stocks and ETFs to find investment opportunities Equity ForecastingUse basic forecasting models to generate price predictions and determine price momentum Portfolio HoldingsCheck your current holdings and cash postion to detemine if your portfolio needs rebalancing Money Flow IndexDetermine momentum by analyzing Money Flow Index and other technical indicators AI Portfolio ArchitectUse AI to generate optimal portfolios and find profitable investment opportunities Pattern RecognitionUse different Pattern Recognition models to time the market across multiple global exchanges Efficient FrontierPlot and analyze your portfolio and positions against risk-return landscape of the market. Pair CorrelationCompare performance and examine fundamental relationship between any two equity instruments
Please note, there is a significant difference between Gabelli Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gabelli Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gabelli Equity's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.