C3 Ai Inc Stock Market Value
| AI Stock | USD 37.86 0.44 1.18% |
| Symbol | C3 Ai |
C3 Ai Inc Price To Book Ratio
Is Systems Software 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 C3 Ai. If investors know C3 Ai 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 C3 Ai listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.28) | Revenue Per Share 2.674 | Quarterly Revenue Growth 0.205 | Return On Assets (0.18) | Return On Equity (0.31) |
The market value of C3 Ai Inc is measured differently than its book value, which is the value of C3 Ai that is recorded on the company's balance sheet. Investors also form their own opinion of C3 Ai's value that differs from its market value or its book value, called intrinsic value, which is C3 Ai'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 C3 Ai's market value can be influenced by many factors that don't directly affect C3 Ai'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 C3 Ai's value and its price as these two are different measures arrived at by different means. Investors typically determine if C3 Ai is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, C3 Ai'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.
C3 Ai '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 C3 Ai'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 C3 Ai.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in C3 Ai on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding C3 Ai Inc or generate 0.0% return on investment in C3 Ai over 30 days. C3 Ai is related to or competes with Zoom Video, Shopify, Salesforce, Workday, Snowflake, Intuit, and Trade Desk. C3.ai, Inc. operates as an enterprise artificial intelligence software company in North America, Europe, the Middle East... More
C3 Ai 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 C3 Ai'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 C3 Ai Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.96 | |||
| Information Ratio | 0.1469 | |||
| Maximum Drawdown | 26.01 | |||
| Value At Risk | (5.04) | |||
| Potential Upside | 6.94 |
C3 Ai Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for C3 Ai's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as C3 Ai's standard deviation. In reality, there are many statistical measures that can use C3 Ai historical prices to predict the future C3 Ai's volatility.| Risk Adjusted Performance | 0.1447 | |||
| Jensen Alpha | 0.5129 | |||
| Total Risk Alpha | 0.0763 | |||
| Sortino Ratio | 0.2095 | |||
| Treynor Ratio | 0.3928 |
C3 Ai Inc Backtested Returns
C3 Ai appears to be not too volatile, given 3 months investment horizon. C3 Ai Inc retains Efficiency (Sharpe Ratio) of 0.21, which signifies that the company had a 0.21% return per unit of price deviation over the last 3 months. By evaluating C3 Ai's technical indicators, you can evaluate if the expected return of 0.88% is justified by implied risk. Please makes use of C3 Ai's Standard Deviation of 4.22, market risk adjusted performance of 0.4028, and Coefficient Of Variation of 561.97 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, C3 Ai holds a performance score of 16. The firm owns a Beta (Systematic Risk) of 1.89, 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, C3 Ai will likely underperform. Please check C3 Ai's sortino ratio, semi variance, and the relationship between the standard deviation and value at risk , to make a quick decision on whether C3 Ai's current price history will revert.
Auto-correlation | 0.90 |
Excellent predictability
C3 Ai Inc has excellent predictability. Overlapping area represents the amount of predictability between C3 Ai time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 C3 Ai Inc price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current C3 Ai price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 18.86 |
C3 Ai Inc lagged returns against current returns
Autocorrelation, which is C3 Ai 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 C3 Ai's stock expected returns. We can calculate the autocorrelation of C3 Ai returns to help us make a trade decision. For example, suppose you find that C3 Ai 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 |
C3 Ai 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 C3 Ai stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if C3 Ai stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in C3 Ai stock over time.
Current vs Lagged Prices |
| Timeline |
C3 Ai Lagged Returns
When evaluating C3 Ai's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of C3 Ai stock have on its future price. C3 Ai 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, C3 Ai autocorrelation shows the relationship between C3 Ai stock current value and its past values and can show if there is a momentum factor associated with investing in C3 Ai Inc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out C3 Ai Correlation, C3 Ai Volatility and C3 Ai Alpha and Beta module to complement your research on C3 Ai. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
C3 Ai 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.