Cel Sci Corp Stock Market Value
| CVM Stock | USD 0.69 0.05 6.76% |
| Symbol | CEL |
CEL SCI Corp Price To Book Ratio
Is Biotechnology 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 CEL SCI. If investors know CEL 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 CEL SCI listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.52) | Revenue Per Share 0.001 | Quarterly Revenue Growth (0.63) | Return On Assets (0.61) | Return On Equity (2.50) |
The market value of CEL SCI Corp is measured differently than its book value, which is the value of CEL that is recorded on the company's balance sheet. Investors also form their own opinion of CEL SCI's value that differs from its market value or its book value, called intrinsic value, which is CEL SCI's 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 CEL SCI's market value can be influenced by many factors that don't directly affect CEL SCI's 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 CEL SCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if CEL SCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CEL SCI's 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.
CEL SCI '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 CEL SCI's 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 CEL SCI.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in CEL SCI on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding CEL SCI Corp or generate 0.0% return on investment in CEL SCI over 30 days. CEL SCI is related to or competes with Agenus, Cyclacel Pharmaceuticals, and BioCryst Pharmaceuticals. CEL-SCI Corporation engages in the research and development of immunotherapy for the treatment of cancer and infectious ... More
CEL SCI 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 CEL SCI's 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 CEL SCI Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 28.0 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 8.2 |
CEL SCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CEL SCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CEL SCI's standard deviation. In reality, there are many statistical measures that can use CEL SCI historical prices to predict the future CEL SCI's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.42) | |||
| Treynor Ratio | 0.9856 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CEL SCI'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.
CEL SCI Corp Backtested Returns
CEL SCI Corp secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of return volatility over the last 3 months. CEL SCI Corp exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CEL SCI's Risk Adjusted Performance of (0.07), mean deviation of 3.77, and Coefficient Of Variation of (886.48) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.69, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning CEL SCI are expected to decrease at a much lower rate. During the bear market, CEL SCI is likely to outperform the market. At this point, CEL SCI Corp has a negative expected return of -0.72%. Please make sure to confirm CEL SCI's value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if CEL SCI Corp performance from the past will be repeated in the future.
Auto-correlation | 0.41 |
Average predictability
CEL SCI Corp has average predictability. Overlapping area represents the amount of predictability between CEL SCI time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 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 CEL SCI Corp price movement. The serial correlation of 0.41 indicates that just about 41.0% of current CEL SCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CEL SCI Corp lagged returns against current returns
Autocorrelation, which is CEL SCI 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 CEL SCI's stock expected returns. We can calculate the autocorrelation of CEL SCI returns to help us make a trade decision. For example, suppose you find that CEL SCI 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 |
CEL SCI 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 CEL SCI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CEL SCI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CEL SCI stock over time.
Current vs Lagged Prices |
| Timeline |
CEL SCI Lagged Returns
When evaluating CEL SCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CEL SCI stock have on its future price. CEL SCI 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, CEL SCI autocorrelation shows the relationship between CEL SCI stock current value and its past values and can show if there is a momentum factor associated with investing in CEL SCI Corp.
Regressed Prices |
| Timeline |
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CEL SCI 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.