G S Stock Forecast - Naive Prediction

GSML Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of G S International on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. GSML Stock Forecast is based on your current time horizon. Although G S's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of G S's systematic risk associated with finding meaningful patterns of G S fundamentals over time.
  
At this time, G S's Total Liabilities is quite stable compared to the past year. Short and Long Term Debt is expected to rise to about 43.6 M this year, although the value of Total Stockholder Equity is projected to rise to (37.1 M).

G S Cash Forecast

To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the G S's financial statements, predicting their influence on future market prices.
 
Cash  
First Reported
2010-12-31
Previous Quarter
(302.40)
Current Value
(287.28)
Quarterly Volatility
1.2 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for G S is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of G S International value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

G S Naive Prediction Price Forecast For the 3rd of December

Given 90 days horizon, the Naive Prediction forecasted value of G S International on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict GSML Stock 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 G S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

G S Stock Forecast Pattern

Backtest G SG S Price PredictionBuy or Sell Advice 

G S Forecasted Value

In the context of forecasting G S's Stock 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. G S's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered G S'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
0.0001
0.0001
Downside
0.0001
Expected Value
0.0001
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of G S stock data series using in forecasting. Note that when a statistical model is used to represent G S stock, 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 Criteria30.385
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of G S International. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict G S. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for G S

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as G S International. Regardless of method or technology, however, to accurately forecast the stock 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.
Hype
Prediction
LowEstimatedHigh
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Other Forecasting Options for G S

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

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

G S International 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 G S'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 G S's current price.

G S Market Strength Events

Market strength indicators help investors to evaluate how G S stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading G S shares will generate the highest return on investment. By undertsting and applying G S stock market strength indicators, traders can identify G S International entry and exit signals to maximize returns.

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When determining whether G S International is a strong investment it is important to analyze G S's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact G S's future performance. For an informed investment choice regarding GSML Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of G S to cross-verify your projections.
You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Is Diversified Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of G S. If investors know GSML will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about G S listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Return On Assets
(0.33)
Return On Equity
(6.39)
The market value of G S International is measured differently than its book value, which is the value of GSML that is recorded on the company's balance sheet. Investors also form their own opinion of G S's value that differs from its market value or its book value, called intrinsic value, which is G S's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because G S's market value can be influenced by many factors that don't directly affect G S's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between G S's value and its price as these two are different measures arrived at by different means. Investors typically determine if G S is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, G S'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.