Federal Signal Stock Probability of Future Stock Price Finishing Under 91.18
| FSS Stock | USD 93.59 1.79 1.95% |
Federal |
Federal Signal Target Price Odds to finish below 91.18
The tendency of Federal Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to $ 91.18 or more in 90 days |
| 93.59 | 90 days | 91.18 | about 44.03 |
Based on a normal probability distribution, the odds of Federal Signal to drop to $ 91.18 or more in 90 days from now is about 44.03 (This Federal Signal probability density function shows the probability of Federal Stock to fall within a particular range of prices over 90 days) . Probability of Federal Signal price to stay between $ 91.18 and its current price of $93.59 at the end of the 90-day period is about 20.61 .
Considering the 90-day investment horizon Federal Signal has a beta of 0.53. This usually indicates as returns on the market go up, Federal Signal average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Federal Signal will be expected to be much smaller as well. Additionally Federal Signal has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Federal Signal Price Density |
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Predictive Modules for Federal Signal
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Federal Signal. 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 Federal Signal's 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.
Federal Signal Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Federal Signal is not an exception. The market had few large corrections towards the Federal Signal's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Federal Signal, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Federal Signal within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0047 | |
β | Beta against Dow Jones | 0.53 | |
σ | Overall volatility | 4.58 | |
Ir | Information ratio | -0.0088 |
Federal Signal Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Federal Signal for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Federal Signal can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Federal Signal has a strong financial position based on the latest SEC filings | |
| Over 96.0% of the company shares are owned by institutional investors | |
| On 2nd of December 2024 Federal Signal paid $ 0.12 per share dividend to its current shareholders | |
| Latest headline from zacks.com: Carlisle Buys Plasti-Fab Enhances its Position in Polystyrene Market |
Federal Signal Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Federal Stock often depends not only on the future outlook of the current and potential Federal Signal'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. Federal Signal's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 61.5 M | |
| Cash And Short Term Investments | 61 M |
Federal Signal Technical Analysis
Federal Signal's future price can be derived by breaking down and analyzing its technical indicators over time. Federal Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Federal Signal. In general, you should focus on analyzing Federal Stock price patterns and their correlations with different microeconomic environments and drivers.
Federal Signal Predictive Forecast Models
Federal Signal's time-series forecasting models is one of many Federal Signal's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Federal Signal's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Federal Signal
Checking the ongoing alerts about Federal Signal for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Federal Signal help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Federal Signal has a strong financial position based on the latest SEC filings | |
| Over 96.0% of the company shares are owned by institutional investors | |
| On 2nd of December 2024 Federal Signal paid $ 0.12 per share dividend to its current shareholders | |
| Latest headline from zacks.com: Carlisle Buys Plasti-Fab Enhances its Position in Polystyrene Market |
Additional Tools for Federal Stock Analysis
When running Federal Signal's price analysis, check to measure Federal Signal'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 Federal Signal is operating at the current time. Most of Federal Signal's value examination focuses on studying past and present price action to predict the probability of Federal Signal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Federal Signal's price. Additionally, you may evaluate how the addition of Federal Signal to your portfolios can decrease your overall portfolio volatility.