Danaher Stock Forecast - Triple Exponential Smoothing

DHR Stock  USD 238.83  2.25  0.95%   
The Triple Exponential Smoothing forecasted value of Danaher on the next trading day is expected to be 239.05 with a mean absolute deviation of 2.61 and the sum of the absolute errors of 156.74. Danaher Stock Forecast is based on your current time horizon. Although Danaher's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Danaher's systematic risk associated with finding meaningful patterns of Danaher fundamentals over time.
  
At this time, Danaher's Inventory Turnover is relatively stable compared to the past year. As of 11/28/2024, Payables Turnover is likely to grow to 7.81, while Asset Turnover is likely to drop 0.27. . As of 11/28/2024, Net Income Applicable To Common Shares is likely to grow to about 8.6 B, while Common Stock Shares Outstanding is likely to drop slightly above 669.1 M.
Triple exponential smoothing for Danaher - 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 Danaher 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 Danaher price movement. However, neither of these exponential smoothing models address any seasonality of Danaher.

Danaher Triple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Danaher on the next trading day is expected to be 239.05 with a mean absolute deviation of 2.61, mean absolute percentage error of 12.27, and the sum of the absolute errors of 156.74.
Please note that although there have been many attempts to predict Danaher 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 Danaher's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Danaher Stock Forecast Pattern

Backtest DanaherDanaher Price PredictionBuy or Sell Advice 

Danaher Forecasted Value

In the context of forecasting Danaher'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. Danaher's downside and upside margins for the forecasting period are 237.73 and 240.37, respectively. We have considered Danaher'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
238.83
237.73
Downside
239.05
Expected Value
240.37
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 Danaher stock data series using in forecasting. Note that when a statistical model is used to represent Danaher 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 0.647
MADMean absolute deviation2.6123
MAPEMean absolute percentage error0.0101
SAESum of the absolute errors156.74
As with simple exponential smoothing, in triple exponential smoothing models past Danaher 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 Danaher observations.

Predictive Modules for Danaher

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Danaher. 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
237.53238.84240.15
Details
Intrinsic
Valuation
LowRealHigh
214.95246.63247.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
227.79236.97246.16
Details
26 Analysts
Consensus
LowTargetHigh
224.62246.83273.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Danaher. Your research has to be compared to or analyzed against Danaher's peers to derive any actionable benefits. When done correctly, Danaher'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 Danaher.

Other Forecasting Options for Danaher

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

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

Danaher 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 Danaher'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 Danaher's current price.

Danaher Market Strength Events

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

Danaher Risk Indicators

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

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

Moving together with Danaher Stock

  0.74CI Cigna CorpPairCorr

Moving against Danaher Stock

  0.87VREX Varex Imaging CorpPairCorr
  0.87LNSR LENSAR IncPairCorr
  0.82XAIR Beyond AirPairCorr
  0.8WGS GeneDx Holdings CorpPairCorr
  0.79LH LaboratoryPairCorr
The ability to find closely correlated positions to Danaher could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Danaher 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 Danaher - 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 Danaher to buy it.
The correlation of Danaher 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 Danaher moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Danaher 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 Danaher 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 Danaher Stock Analysis

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