Moog Stock Forecast - Naive Prediction
| MOG-A Stock | USD 222.56 2.24 1.02% |
The Naive Prediction forecasted value of Moog Inc on the next trading day is expected to be 209.54 with a mean absolute deviation of 3.81 and the sum of the absolute errors of 232.31. Moog Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Moog stock prices and determine the direction of Moog Inc's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Moog's historical fundamentals, such as revenue growth or operating cash flow patterns.
Moog |
Moog Cash Forecast
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Moog's financial statements to predict how it will affect future prices.
Cash | First Reported 1985-09-30 | Previous Quarter 51.5 M | Current Value 61.7 M | Quarterly Volatility 94.6 M |
Moog Naive Prediction Price Forecast For the 26th of November
Given 90 days horizon, the Naive Prediction forecasted value of Moog Inc on the next trading day is expected to be 209.54 with a mean absolute deviation of 3.81, mean absolute percentage error of 25.93, and the sum of the absolute errors of 232.31.Please note that although there have been many attempts to predict Moog 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 Moog's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Moog Stock Forecast Pattern
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Moog Forecasted Value
In the context of forecasting Moog'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. Moog's downside and upside margins for the forecasting period are 207.31 and 211.77, respectively. We have considered Moog'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Moog stock data series using in forecasting. Note that when a statistical model is used to represent Moog 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 | 121.366 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.8083 |
| MAPE | Mean absolute percentage error | 0.0185 |
| SAE | Sum of the absolute errors | 232.3073 |
Predictive Modules for Moog
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Moog Inc. 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 Moog
For every potential investor in Moog, whether a beginner or expert, Moog's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Moog Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Moog. Basic forecasting techniques help filter out the noise by identifying Moog's price trends.Moog 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 Moog stock to make a market-neutral strategy. Peer analysis of Moog could also be used in its relative valuation, which is a method of valuing Moog by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Moog Inc 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 Moog'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 Moog's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
Moog Market Strength Events
Market strength indicators help investors to evaluate how Moog stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Moog shares will generate the highest return on investment. By undertsting and applying Moog stock market strength indicators, traders can identify Moog Inc entry and exit signals to maximize returns.
Moog Risk Indicators
The analysis of Moog'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 Moog's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting moog 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 | 1.39 | |||
| Semi Deviation | 1.44 | |||
| Standard Deviation | 2.23 | |||
| Variance | 4.95 | |||
| Downside Variance | 2.87 | |||
| Semi Variance | 2.07 | |||
| 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.
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.Other Information on Investing in Moog Stock
Moog financial ratios help investors to determine whether Moog Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Moog with respect to the benefits of owning Moog security.