Gmo Sgm Mutual Fund Forecast - Polynomial Regression

GSMHXDelisted Fund  USD 23.33  0.00  0.00%   
The Polynomial Regression forecasted value of Gmo Sgm Major on the next trading day is expected to be 22.98 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.24. Gmo Mutual Fund Forecast is based on your current time horizon.
  
Gmo Sgm polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Gmo Sgm Major as well as the accuracy indicators are determined from the period prices.

Gmo Sgm Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Gmo Sgm Major on the next trading day is expected to be 22.98 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.40, and the sum of the absolute errors of 14.24.
Please note that although there have been many attempts to predict Gmo 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 Gmo Sgm's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Gmo Sgm Mutual Fund Forecast Pattern

Backtest Gmo SgmGmo Sgm Price PredictionBuy or Sell Advice 

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 Gmo Sgm mutual fund data series using in forecasting. Note that when a statistical model is used to represent Gmo Sgm 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.
AICAkaike Information Criteria117.1835
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2335
MAPEMean absolute percentage error0.0096
SAESum of the absolute errors14.241
A single variable polynomial regression model attempts to put a curve through the Gmo Sgm historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Gmo Sgm

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gmo Sgm Major. 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.
Hype
Prediction
LowEstimatedHigh
23.3323.3323.33
Details
Intrinsic
Valuation
LowRealHigh
22.0222.0225.66
Details
Bollinger
Band Projection (param)
LowMiddleHigh
23.2523.3123.37
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gmo Sgm. Your research has to be compared to or analyzed against Gmo Sgm's peers to derive any actionable benefits. When done correctly, Gmo Sgm'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 Gmo Sgm Major.

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

Gmo Sgm Market Strength Events

Market strength indicators help investors to evaluate how Gmo Sgm 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 Gmo Sgm shares will generate the highest return on investment. By undertsting and applying Gmo Sgm mutual fund market strength indicators, traders can identify Gmo Sgm Major entry and exit signals to maximize returns.

Gmo Sgm Risk Indicators

The analysis of Gmo Sgm'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 Gmo Sgm's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gmo 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.
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 Risk vs Return Analysis 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 rate.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.

Other Consideration for investing in Gmo Mutual Fund

If you are still planning to invest in Gmo Sgm Major 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 Gmo Sgm's history and understand the potential risks before investing.
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