Carmat (France) Market Value
| ALCAR Stock | EUR 0.97 0.03 3.00% |
| Symbol | Carmat |
Carmat '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 Carmat'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 Carmat.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in Carmat on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Carmat or generate 0.0% return on investment in Carmat over 30 days. Carmat is related to or competes with Kalray SA, Biosynex, Eurobio Scientific, and OSE Pharma. Carmat SA designs and develops total artificial heart for people suffering from end-stage biventricular heart failure in... More
Carmat 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 Carmat'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 Carmat upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 27.84 | |||
| Value At Risk | (5.95) | |||
| Potential Upside | 7.53 |
Carmat Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Carmat's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carmat's standard deviation. In reality, there are many statistical measures that can use Carmat historical prices to predict the future Carmat's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.71) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | 3.52 |
Carmat Backtested Returns
Carmat secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had a -0.13% return per unit of risk over the last 3 months. Carmat exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Carmat's Mean Deviation of 3.43, standard deviation of 5.12, and Risk Adjusted Performance of (0.10) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.2, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Carmat are expected to decrease at a much lower rate. During the bear market, Carmat is likely to outperform the market. At this point, Carmat has a negative expected return of -0.69%. Please make sure to confirm Carmat's potential upside, as well as the relationship between the daily balance of power and market facilitation index , to decide if Carmat performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.71 |
Good predictability
Carmat has good predictability. Overlapping area represents the amount of predictability between Carmat time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd 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 Carmat price movement. The serial correlation of 0.71 indicates that around 71.0% of current Carmat price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Carmat lagged returns against current returns
Autocorrelation, which is Carmat 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 Carmat's stock expected returns. We can calculate the autocorrelation of Carmat returns to help us make a trade decision. For example, suppose you find that Carmat 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 |
Carmat 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 Carmat stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carmat stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Carmat stock over time.
Current vs Lagged Prices |
| Timeline |
Carmat Lagged Returns
When evaluating Carmat's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Carmat stock have on its future price. Carmat 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, Carmat autocorrelation shows the relationship between Carmat stock current value and its past values and can show if there is a momentum factor associated with investing in Carmat.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Carmat Stock Analysis
When running Carmat's price analysis, check to measure Carmat'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 Carmat is operating at the current time. Most of Carmat's value examination focuses on studying past and present price action to predict the probability of Carmat's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Carmat's price. Additionally, you may evaluate how the addition of Carmat to your portfolios can decrease your overall portfolio volatility.