Southwest Airlines Stock Forecast - 4 Period Moving Average
| LUV Stock | USD 32.36 0.40 1.25% |
The 4 Period Moving Average forecasted value of Southwest Airlines on the next trading day is expected to be 32.26 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 26.94. Southwest Stock Forecast is based on your current time horizon.
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Southwest Airlines 4 Period Moving Average Price Forecast For the 2nd of December
Given 90 days horizon, the 4 Period Moving Average forecasted value of Southwest Airlines on the next trading day is expected to be 32.26 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.38, and the sum of the absolute errors of 26.94.Please note that although there have been many attempts to predict Southwest 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 Southwest Airlines' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Southwest Airlines Stock Forecast Pattern
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Southwest Airlines Forecasted Value
In the context of forecasting Southwest Airlines' 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. Southwest Airlines' downside and upside margins for the forecasting period are 30.44 and 34.08, respectively. We have considered Southwest Airlines' 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 Southwest Airlines stock data series using in forecasting. Note that when a statistical model is used to represent Southwest Airlines 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 | 109.7993 |
| Bias | Arithmetic mean of the errors | -0.1362 |
| MAD | Mean absolute deviation | 0.4726 |
| MAPE | Mean absolute percentage error | 0.0155 |
| SAE | Sum of the absolute errors | 26.9375 |
Predictive Modules for Southwest Airlines
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Southwest Airlines. 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 Southwest Airlines' 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.
Other Forecasting Options for Southwest Airlines
For every potential investor in Southwest, whether a beginner or expert, Southwest Airlines' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Southwest Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Southwest. Basic forecasting techniques help filter out the noise by identifying Southwest Airlines' price trends.Southwest Airlines 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 Southwest Airlines stock to make a market-neutral strategy. Peer analysis of Southwest Airlines could also be used in its relative valuation, which is a method of valuing Southwest Airlines by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Southwest Airlines 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 Southwest Airlines' 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 Southwest Airlines' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Southwest Airlines Market Strength Events
Market strength indicators help investors to evaluate how Southwest Airlines stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Southwest Airlines shares will generate the highest return on investment. By undertsting and applying Southwest Airlines stock market strength indicators, traders can identify Southwest Airlines entry and exit signals to maximize returns.
Southwest Airlines Risk Indicators
The analysis of Southwest Airlines' 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 Southwest Airlines' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting southwest 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 | 1.31 | |||
| Semi Deviation | 1.65 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.27 | |||
| Downside Variance | 4.22 | |||
| Semi Variance | 2.73 | |||
| Expected Short fall | (1.27) |
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.
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Additional Tools for Southwest Stock Analysis
When running Southwest Airlines' price analysis, check to measure Southwest Airlines' 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 Southwest Airlines is operating at the current time. Most of Southwest Airlines' value examination focuses on studying past and present price action to predict the probability of Southwest Airlines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Southwest Airlines' price. Additionally, you may evaluate how the addition of Southwest Airlines to your portfolios can decrease your overall portfolio volatility.