SM Investments Pink Sheet Forecast - Triple Exponential Smoothing

SVTMF Stock  USD 16.40  0.40  2.50%   
The Triple Exponential Smoothing forecasted value of SM Investments on the next trading day is expected to be 16.40 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.50. SVTMF Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of SM Investments' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for SM Investments - 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 SM Investments 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 SM Investments price movement. However, neither of these exponential smoothing models address any seasonality of SM Investments.

SM Investments Triple Exponential Smoothing Price Forecast For the 24th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of SM Investments on the next trading day is expected to be 16.40 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.1, and the sum of the absolute errors of 4.50.
Please note that although there have been many attempts to predict SVTMF Pink Sheet 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 SM Investments' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SM Investments Pink Sheet Forecast Pattern

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SM Investments Forecasted Value

In the context of forecasting SM Investments' Pink Sheet 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. SM Investments' downside and upside margins for the forecasting period are 14.43 and 18.37, respectively. We have considered SM Investments' 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
16.40
16.40
Expected Value
18.37
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 SM Investments pink sheet data series using in forecasting. Note that when a statistical model is used to represent SM Investments pink sheet, 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 -0.0373
MADMean absolute deviation0.0763
MAPEMean absolute percentage error0.0047
SAESum of the absolute errors4.5
As with simple exponential smoothing, in triple exponential smoothing models past SM Investments 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 SM Investments observations.

Predictive Modules for SM Investments

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SM Investments. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
14.4416.4018.36
Details
Intrinsic
Valuation
LowRealHigh
14.0816.0418.00
Details

Other Forecasting Options for SM Investments

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

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

SM Investments Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SM Investments' 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 SM Investments' current price.

SM Investments Market Strength Events

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

SM Investments Risk Indicators

The analysis of SM Investments' 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 SM Investments' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting svtmf pink sheet 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.

Currently Active Assets on Macroaxis

Other Information on Investing in SVTMF Pink Sheet

SM Investments financial ratios help investors to determine whether SVTMF Pink Sheet 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 SVTMF with respect to the benefits of owning SM Investments security.