Icahn Enterprises Stock Forecast - Triple Exponential Smoothing

IEP Stock  USD 11.18  0.16  1.41%   
The Triple Exponential Smoothing forecasted value of Icahn Enterprises LP on the next trading day is expected to be 11.11 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 22.57. Icahn Stock Forecast is based on your current time horizon. Although Icahn Enterprises' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Icahn Enterprises' systematic risk associated with finding meaningful patterns of Icahn Enterprises fundamentals over time.
  
As of 11/26/2024, Receivables Turnover is likely to grow to 25.65, while Inventory Turnover is likely to drop 4.86. . As of 11/26/2024, Common Stock Shares Outstanding is likely to grow to about 401.1 M, though Net Loss is likely to grow to (159.9 M).
Triple exponential smoothing for Icahn Enterprises - 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 Icahn Enterprises 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 Icahn Enterprises price movement. However, neither of these exponential smoothing models address any seasonality of Icahn Enterprises.

Icahn Enterprises Triple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Icahn Enterprises LP on the next trading day is expected to be 11.11 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.33, and the sum of the absolute errors of 22.57.
Please note that although there have been many attempts to predict Icahn 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 Icahn Enterprises' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Icahn Enterprises Stock Forecast Pattern

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Icahn Enterprises Forecasted Value

In the context of forecasting Icahn Enterprises' 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. Icahn Enterprises' downside and upside margins for the forecasting period are 6.91 and 15.31, respectively. We have considered Icahn Enterprises' 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
11.18
11.11
Expected Value
15.31
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 Icahn Enterprises stock data series using in forecasting. Note that when a statistical model is used to represent Icahn Enterprises 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 -0.0511
MADMean absolute deviation0.3826
MAPEMean absolute percentage error0.0318
SAESum of the absolute errors22.5743
As with simple exponential smoothing, in triple exponential smoothing models past Icahn Enterprises 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 Icahn Enterprises LP observations.

Predictive Modules for Icahn Enterprises

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Icahn Enterprises. 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 Icahn Enterprises' 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
7.0511.2515.45
Details
Intrinsic
Valuation
LowRealHigh
10.7514.9519.15
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10.7611.6612.57
Details
1 Analysts
Consensus
LowTargetHigh
24.5727.0029.97
Details

Other Forecasting Options for Icahn Enterprises

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

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

Icahn Enterprises 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 Icahn Enterprises' 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 Icahn Enterprises' current price.

Icahn Enterprises Market Strength Events

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

Icahn Enterprises Risk Indicators

The analysis of Icahn Enterprises' 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 Icahn Enterprises' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting icahn 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 Icahn Enterprises

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

Moving against Icahn Stock

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The ability to find closely correlated positions to Icahn Enterprises could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Icahn Enterprises 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 Icahn Enterprises - 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 Icahn Enterprises LP to buy it.
The correlation of Icahn Enterprises 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 Icahn Enterprises moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Icahn Enterprises 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 Icahn Enterprises 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 Icahn Stock Analysis

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