Cosmax Stock Forecast - Triple Exponential Smoothing

192820 Stock   134,000  1,500  1.13%   
The Triple Exponential Smoothing forecasted value of Cosmax Inc on the next trading day is expected to be 133,711 with a mean absolute deviation of 3,495 and the sum of the absolute errors of 209,723. Investors can use prediction functions to forecast Cosmax's stock prices and determine the direction of Cosmax Inc's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Cosmax's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
  
Triple exponential smoothing for Cosmax - 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 Cosmax 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 Cosmax price movement. However, neither of these exponential smoothing models address any seasonality of Cosmax Inc.

Cosmax Triple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Cosmax Inc on the next trading day is expected to be 133,711 with a mean absolute deviation of 3,495, mean absolute percentage error of 24,064,329, and the sum of the absolute errors of 209,723.
Please note that although there have been many attempts to predict Cosmax 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 Cosmax's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cosmax Stock Forecast Pattern

Cosmax Forecasted Value

In the context of forecasting Cosmax'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. Cosmax's downside and upside margins for the forecasting period are 133,707 and 133,714, respectively. We have considered Cosmax'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
134,000
133,707
Downside
133,711
Expected Value
133,714
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 Cosmax stock data series using in forecasting. Note that when a statistical model is used to represent Cosmax 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 -554.4885
MADMean absolute deviation3495.3907
MAPEMean absolute percentage error0.0259
SAESum of the absolute errors209723.4401
As with simple exponential smoothing, in triple exponential smoothing models past Cosmax 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 Cosmax Inc observations.

Predictive Modules for Cosmax

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cosmax Inc. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Cosmax. Your research has to be compared to or analyzed against Cosmax's peers to derive any actionable benefits. When done correctly, Cosmax'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 Cosmax Inc.

Other Forecasting Options for Cosmax

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

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

Cosmax Inc 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 Cosmax'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 Cosmax's current price.

Cosmax Market Strength Events

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

Cosmax Risk Indicators

The analysis of Cosmax'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 Cosmax's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cosmax 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.

Pair Trading with Cosmax

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Cosmax position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cosmax will appreciate offsetting losses from the drop in the long position's value.

Moving against Cosmax Stock

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The ability to find closely correlated positions to Cosmax could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cosmax when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Cosmax - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Cosmax Inc to buy it.
The correlation of Cosmax is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Cosmax moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cosmax Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Cosmax can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching