Cyber Operations Stock Market Value
Cyber Operations' market value is the price at which a share of Cyber Operations trades on a public exchange. It measures the collective expectations of Cyber Operations investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Cyber Operations and determine expected loss or profit from investing in Cyber Operations over a given investment horizon. Check out Cyber Operations Correlation, Cyber Operations Volatility and Cyber Operations Alpha and Beta module to complement your research on Cyber Operations. For more information on how to buy Cyber Stock please use our How to buy in Cyber Stock guide.
| Symbol | Cyber |
Is Software - Application space 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 Cyber Operations. If investors know Cyber 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 Cyber Operations listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Cyber Operations is measured differently than its book value, which is the value of Cyber that is recorded on the company's balance sheet. Investors also form their own opinion of Cyber Operations' value that differs from its market value or its book value, called intrinsic value, which is Cyber Operations' 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 Cyber Operations' market value can be influenced by many factors that don't directly affect Cyber Operations' 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 Cyber Operations' value and its price as these two are different measures arrived at by different means. Investors typically determine if Cyber Operations is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cyber Operations' 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.
Cyber Operations '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 Cyber Operations' 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 Cyber Operations.
| 10/16/2025 |
| 01/14/2026 |
If you would invest 0.00 in Cyber Operations on October 16, 2025 and sell it all today you would earn a total of 0.00 from holding Cyber Operations or generate 0.0% return on investment in Cyber Operations over 90 days. Cyber Operations, Inc., a technology company, develops integrated security technology tools for government, commercial e... More
Cyber Operations 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 Cyber Operations' 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 Cyber Operations upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1261 |
Cyber Operations Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cyber Operations' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cyber Operations' standard deviation. In reality, there are many statistical measures that can use Cyber Operations historical prices to predict the future Cyber Operations' volatility.| Risk Adjusted Performance | 0.0996 | |||
| Jensen Alpha | 12.69 | |||
| Total Risk Alpha | (3.68) | |||
| Treynor Ratio | 0.5175 |
Cyber Operations Backtested Returns
Cyber Operations is out of control given 3 months investment horizon. Cyber Operations secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of standard deviation over the last 3 months. We were able to interpolate data for twelve different technical indicators, which can help you to evaluate if expected returns of 16.13% are justified by taking the suggested risk. Use Cyber Operations mean deviation of 31.74, and Risk Adjusted Performance of 0.0996 to evaluate company specific risk that cannot be diversified away. Cyber Operations holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 31.15, which signifies 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, Cyber Operations will likely underperform. Use Cyber Operations risk adjusted performance and jensen alpha , to analyze future returns on Cyber Operations.
Auto-correlation | 0.00 |
No correlation between past and present
Cyber Operations has no correlation between past and present. Overlapping area represents the amount of predictability between Cyber Operations time series from 16th of October 2025 to 30th of November 2025 and 30th of November 2025 to 14th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cyber Operations price movement. The serial correlation of 0.0 indicates that just 0.0% of current Cyber Operations price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Cyber Operations lagged returns against current returns
Autocorrelation, which is Cyber Operations 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 Cyber Operations' stock expected returns. We can calculate the autocorrelation of Cyber Operations returns to help us make a trade decision. For example, suppose you find that Cyber Operations 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 |
Cyber Operations 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 Cyber Operations stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cyber Operations stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cyber Operations stock over time.
Current vs Lagged Prices |
| Timeline |
Cyber Operations Lagged Returns
When evaluating Cyber Operations' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cyber Operations stock have on its future price. Cyber Operations 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, Cyber Operations autocorrelation shows the relationship between Cyber Operations stock current value and its past values and can show if there is a momentum factor associated with investing in Cyber Operations.
Regressed Prices |
| Timeline |
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Try AI Portfolio ProphetCheck out Cyber Operations Correlation, Cyber Operations Volatility and Cyber Operations Alpha and Beta module to complement your research on Cyber Operations. For more information on how to buy Cyber Stock please use our How to buy in Cyber Stock guide.You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Cyber Operations 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.