MCI Management Stock Forecast - Double Exponential Smoothing

MCI Stock   25.60  0.10  0.39%   
The Double Exponential Smoothing forecasted value of MCI Management SA on the next trading day is expected to be 25.61 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 15.70. MCI Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for MCI Management works best with periods where there are trends or seasonality.

MCI Management Double Exponential Smoothing Price Forecast For the 2nd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of MCI Management SA on the next trading day is expected to be 25.61 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.13, and the sum of the absolute errors of 15.70.
Please note that although there have been many attempts to predict MCI 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 MCI Management's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MCI Management Stock Forecast Pattern

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MCI Management Forecasted Value

In the context of forecasting MCI Management'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. MCI Management's downside and upside margins for the forecasting period are 23.99 and 27.23, respectively. We have considered MCI Management'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
25.60
25.61
Expected Value
27.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of MCI Management stock data series using in forecasting. Note that when a statistical model is used to represent MCI Management 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 0.0477
MADMean absolute deviation0.266
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors15.6968
When MCI Management SA 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 MCI Management SA trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent MCI Management observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for MCI Management

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MCI Management SA. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MCI Management's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
23.9825.6027.22
Details
Intrinsic
Valuation
LowRealHigh
24.3625.9827.60
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.0025.5126.02
Details

Other Forecasting Options for MCI Management

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

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

MCI Management SA 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 MCI Management'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 MCI Management's current price.

MCI Management Market Strength Events

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

MCI Management Risk Indicators

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

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 MCI Management 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 MCI Management will appreciate offsetting losses from the drop in the long position's value.

Moving against MCI Stock

  0.44GKI ImmobilePairCorr
  0.42AAT Alta SAPairCorr
  0.34ALI AltustfiPairCorr
  0.33PKN Polski Koncern NaftowyPairCorr
The ability to find closely correlated positions to MCI Management could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MCI Management 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 MCI Management - 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 MCI Management SA to buy it.
The correlation of MCI Management 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 MCI Management moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MCI Management SA 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 MCI Management 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

Additional Tools for MCI Stock Analysis

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