Frequency Electronics Stock Market Value
| FEIM Stock | USD 9.84 0.11 1.13% |
| Symbol | Frequency |
Frequency Electronics Price To Book Ratio
Is Frequency Electronics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Frequency Electronics. If investors know Frequency will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Frequency Electronics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.394 | Earnings Share 0.35 | Revenue Per Share 5.608 | Return On Assets 0.0238 | Return On Equity 0.0931 |
The market value of Frequency Electronics is measured differently than its book value, which is the value of Frequency that is recorded on the company's balance sheet. Investors also form their own opinion of Frequency Electronics' value that differs from its market value or its book value, called intrinsic value, which is Frequency Electronics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Frequency Electronics' market value can be influenced by many factors that don't directly affect Frequency Electronics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Frequency Electronics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Frequency Electronics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Frequency Electronics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Frequency Electronics 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Frequency Electronics' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Frequency Electronics.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Frequency Electronics on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Frequency Electronics or generate 0.0% return on investment in Frequency Electronics over 30 days. Frequency Electronics is related to or competes with Maximus, Network 1, First Advantage, BrightView Holdings, Civeo Corp, AZZ Incorporated, and Cass Information. Frequency Electronics, Inc., together with its subsidiaries, designs, develops, manufactures, and sells precision time a... More
Frequency Electronics Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Frequency Electronics' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Frequency Electronics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 16.83 | |||
| Value At Risk | (2.19) | |||
| Potential Upside | 3.37 |
Frequency Electronics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Frequency Electronics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Frequency Electronics' standard deviation. In reality, there are many statistical measures that can use Frequency Electronics historical prices to predict the future Frequency Electronics' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Frequency Electronics' 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.
Frequency Electronics Backtested Returns
Frequency Electronics secures Sharpe Ratio (or Efficiency) of -0.0292, which denotes the company had a -0.0292% return per unit of risk over the last 3 months. Frequency Electronics exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Frequency Electronics' Variance of 4.74, mean deviation of 1.45, and Standard Deviation of 2.18 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.43, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Frequency Electronics will likely underperform. Frequency Electronics has an expected return of -0.0647%. Please make sure to confirm Frequency Electronics potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Frequency Electronics performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.25 |
Weak reverse predictability
Frequency Electronics has weak reverse predictability. Overlapping area represents the amount of predictability between Frequency Electronics time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Frequency Electronics price movement. The serial correlation of -0.25 indicates that over 25.0% of current Frequency Electronics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Frequency Electronics lagged returns against current returns
Autocorrelation, which is Frequency Electronics stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Frequency Electronics' stock expected returns. We can calculate the autocorrelation of Frequency Electronics returns to help us make a trade decision. For example, suppose you find that Frequency Electronics has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Frequency Electronics regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Frequency Electronics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Frequency Electronics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Frequency Electronics stock over time.
Current vs Lagged Prices |
| Timeline |
Frequency Electronics Lagged Returns
When evaluating Frequency Electronics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Frequency Electronics stock have on its future price. Frequency Electronics autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Frequency Electronics autocorrelation shows the relationship between Frequency Electronics stock current value and its past values and can show if there is a momentum factor associated with investing in Frequency Electronics.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Frequency Electronics Correlation, Frequency Electronics Volatility and Frequency Electronics Alpha and Beta module to complement your research on Frequency Electronics. To learn how to invest in Frequency Stock, please use our How to Invest in Frequency Electronics guide.You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Complementary Tools for Frequency Stock analysis
When running Frequency Electronics' price analysis, check to measure Frequency Electronics' 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 Frequency Electronics is operating at the current time. Most of Frequency Electronics' value examination focuses on studying past and present price action to predict the probability of Frequency Electronics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Frequency Electronics' price. Additionally, you may evaluate how the addition of Frequency Electronics to your portfolios can decrease your overall portfolio volatility.
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Frequency Electronics technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.