Merck Stock Forecast - Double Exponential Smoothing

MRK Stock  MXN 2,058  42.99  2.13%   
The Double Exponential Smoothing forecasted value of Merck Company on the next trading day is expected to be 2,054 with a mean absolute deviation of 27.19 and the sum of the absolute errors of 1,604. Merck 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 Merck works best with periods where there are trends or seasonality.

Merck Double Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Merck Company on the next trading day is expected to be 2,054 with a mean absolute deviation of 27.19, mean absolute percentage error of 1,171, and the sum of the absolute errors of 1,604.
Please note that although there have been many attempts to predict Merck 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 Merck's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Merck Stock Forecast Pattern

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Merck Forecasted Value

In the context of forecasting Merck'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. Merck's downside and upside margins for the forecasting period are 2,052 and 2,055, respectively. We have considered Merck'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
2,058
2,054
Expected Value
2,055
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 Merck stock data series using in forecasting. Note that when a statistical model is used to represent Merck 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 -6.1597
MADMean absolute deviation27.1897
MAPEMean absolute percentage error0.013
SAESum of the absolute errors1604.1926
When Merck Company 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 Merck Company 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 Merck observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Merck

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Merck Company. 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
2,0132,0152,017
Details
Intrinsic
Valuation
LowRealHigh
1,5901,5922,217
Details

Other Forecasting Options for Merck

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

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

Merck Company 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 Merck'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 Merck's current price.

Merck Market Strength Events

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

Merck Risk Indicators

The analysis of Merck'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 Merck's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting merck 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 Merck Stock Analysis

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