Kinder Morgan Stock Forecast - 4 Period Moving Average
| 2KD Stock | EUR 25.41 0.37 1.44% |
The 4 Period Moving Average forecasted value of Kinder Morgan on the next trading day is expected to be 25.37 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 26.19. Kinder Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Kinder Morgan's historical fundamentals, such as revenue growth or operating cash flow patterns.
Kinder |
Kinder Morgan 4 Period Moving Average Price Forecast For the 22nd of December
Given 90 days horizon, the 4 Period Moving Average forecasted value of Kinder Morgan on the next trading day is expected to be 25.37 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.42, and the sum of the absolute errors of 26.19.Please note that although there have been many attempts to predict Kinder 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 Kinder Morgan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Kinder Morgan Stock Forecast Pattern
| Backtest Kinder Morgan | Kinder Morgan Price Prediction | Buy or Sell Advice |
Kinder Morgan Forecasted Value
In the context of forecasting Kinder Morgan'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. Kinder Morgan's downside and upside margins for the forecasting period are 23.43 and 27.32, respectively. We have considered Kinder Morgan'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Kinder Morgan stock data series using in forecasting. Note that when a statistical model is used to represent Kinder Morgan 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.| AIC | Akaike Information Criteria | 109.8892 |
| Bias | Arithmetic mean of the errors | -0.2291 |
| MAD | Mean absolute deviation | 0.4594 |
| MAPE | Mean absolute percentage error | 0.0188 |
| SAE | Sum of the absolute errors | 26.1875 |
Predictive Modules for Kinder Morgan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kinder Morgan. 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.Other Forecasting Options for Kinder Morgan
For every potential investor in Kinder, whether a beginner or expert, Kinder Morgan's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kinder Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Kinder. Basic forecasting techniques help filter out the noise by identifying Kinder Morgan's price trends.Kinder Morgan 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 Kinder Morgan stock to make a market-neutral strategy. Peer analysis of Kinder Morgan could also be used in its relative valuation, which is a method of valuing Kinder Morgan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Kinder Morgan 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 Kinder Morgan'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 Kinder Morgan's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Kinder Morgan Market Strength Events
Market strength indicators help investors to evaluate how Kinder Morgan stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Kinder Morgan shares will generate the highest return on investment. By undertsting and applying Kinder Morgan stock market strength indicators, traders can identify Kinder Morgan entry and exit signals to maximize returns.
Kinder Morgan Risk Indicators
The analysis of Kinder Morgan'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 Kinder Morgan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kinder 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.
| Mean Deviation | 1.28 | |||
| Semi Deviation | 0.9223 | |||
| Standard Deviation | 1.93 | |||
| Variance | 3.73 | |||
| Downside Variance | 1.67 | |||
| Semi Variance | 0.8506 | |||
| Expected Short fall | (1.53) |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Kinder Stock
When determining whether Kinder Morgan offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Kinder Morgan's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Kinder Morgan Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Kinder Morgan Stock:Check out Historical Fundamental Analysis of Kinder Morgan to cross-verify your projections. For more detail on how to invest in Kinder Stock please use our How to Invest in Kinder Morgan guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.