Moog Inc Stock Price Prediction

Intrinsic Valuation Low Real High 187.71 215.36 217.56 Details

4 Analysts Consensus Low Target High 202.70 222.75 247.25 Details

Earnings Estimates (0) Low Projected EPS High 1.64 1.70 1.83 Details

Moog After-Hype Price Prediction Density Analysis

Moog Estimiated After-Hype Price Volatility

Moog Stock Price Prediction Analysis

Expected Return	Period Volatility	Hype Elasticity	Related Elasticity	News Density	Related Density	Expected Hype
0.13	2.18	0.19	0.03	6 Events / Month	4 Events / Month	In about 6 days

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
208.57	208.77	0.10	151.39   Notes

Moog Hype Timeline

Moog Inc is now traded for 208.57. The entity has historical hype elasticity of 0.19, and average elasticity to hype of competition of -0.03. Moog is estimated to increase in value after the next headline, with the price projected to jump to 208.77 or above. The average volatility of media hype impact on the company the price is about 151.39%. The price jump on the next news is projected to be 0.1%, whereas the daily expected return is now at 0.13%. The volatility of related hype on Moog is about 1032.63%, with the expected price after the next announcement by competition of 208.54. The company reported the revenue of 3.61 B. Net Income was 207.22 M with profit before overhead, payroll, taxes, and interest of 996.92 M. Assuming the 90 days horizon the next estimated press release will be in about 6 days. Check out Moog Basic Forecasting Models to cross-verify your projections.

Moog Related Hype Analysis

Moog Additional Predictive Modules

Most predictive techniques to examine Moog price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Moog using various technical indicators. When you analyze Moog charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

The successful prediction of Moog stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Moog Inc, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Moog based on analysis of Moog hews, social hype, general headline patterns, and widely used predictive technical indicators.

The number of cover stories for Moog depends on current market conditions and Moog's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Moog is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Moog's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Moog's future price predictability will typically decrease when Moog's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Moog Inc often depends not only on the future outlook of the potential Moog's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Moog's indicators that are reflective of the short sentiment are summarized in the table below.

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