Goldman Sachs Stock Forecast - Triple Exponential Smoothing

GS Stock  MXN 11,786  102.96  0.87%   
The Triple Exponential Smoothing forecasted value of The Goldman Sachs on the next trading day is expected to be 11,719 with a mean absolute deviation of 177.00 and the sum of the absolute errors of 10,443. Goldman Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for Goldman Sachs - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Goldman Sachs prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Goldman Sachs price movement. However, neither of these exponential smoothing models address any seasonality of Goldman Sachs.

Goldman Sachs Triple Exponential Smoothing Price Forecast For the 16th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of The Goldman Sachs on the next trading day is expected to be 11,719 with a mean absolute deviation of 177.00, mean absolute percentage error of 77,987, and the sum of the absolute errors of 10,443.
Please note that although there have been many attempts to predict Goldman 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 Goldman Sachs' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Goldman Sachs Stock Forecast Pattern

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Goldman Sachs Forecasted Value

In the context of forecasting Goldman Sachs' 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. Goldman Sachs' downside and upside margins for the forecasting period are 11,716 and 11,721, respectively. We have considered Goldman Sachs' 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
11,786
11,716
Downside
11,719
Expected Value
11,721
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Goldman Sachs stock data series using in forecasting. Note that when a statistical model is used to represent Goldman Sachs 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 CriteriaHuge
BiasArithmetic mean of the errors 43.4255
MADMean absolute deviation176.9951
MAPEMean absolute percentage error0.0162
SAESum of the absolute errors10442.713
As with simple exponential smoothing, in triple exponential smoothing models past Goldman Sachs observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older The Goldman Sachs observations.

Predictive Modules for Goldman Sachs

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Goldman Sachs. 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
11,78411,78611,788
Details
Intrinsic
Valuation
LowRealHigh
10,60713,15413,156
Details

Other Forecasting Options for Goldman Sachs

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

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

Goldman Sachs 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 Goldman Sachs' 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 Goldman Sachs' current price.

Goldman Sachs Market Strength Events

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

Goldman Sachs Risk Indicators

The analysis of Goldman Sachs' 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 Goldman Sachs' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting goldman stock 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.

Additional Tools for Goldman Stock Analysis

When running Goldman Sachs' price analysis, check to measure Goldman Sachs' 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 Goldman Sachs is operating at the current time. Most of Goldman Sachs' value examination focuses on studying past and present price action to predict the probability of Goldman Sachs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Goldman Sachs' price. Additionally, you may evaluate how the addition of Goldman Sachs to your portfolios can decrease your overall portfolio volatility.