Quantum Genomics (France) Market Value
| ALQGC Stock | EUR 0.07 0 1.77% |
| Symbol | Quantum |
Quantum Genomics '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 Quantum Genomics' 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 Quantum Genomics.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in Quantum Genomics on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding Quantum Genomics SA or generate 0.0% return on investment in Quantum Genomics over 30 days. Quantum Genomics is related to or competes with Biophytis, and Eurobio Scientific. Quantum Genomics Socit Anonyme, a biopharmaceutical company, develops drugs to treat cardiovascular diseases More
Quantum Genomics 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 Quantum Genomics' 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 Quantum Genomics SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.16 | |||
| Information Ratio | 0.1437 | |||
| Maximum Drawdown | 260.51 | |||
| Value At Risk | (11.85) | |||
| Potential Upside | 40.0 |
Quantum Genomics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Genomics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Genomics' standard deviation. In reality, there are many statistical measures that can use Quantum Genomics historical prices to predict the future Quantum Genomics' volatility.| Risk Adjusted Performance | 0.1217 | |||
| Jensen Alpha | 6.16 | |||
| Total Risk Alpha | 0.4298 | |||
| Sortino Ratio | 0.2443 | |||
| Treynor Ratio | (1.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantum Genomics' 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.
Quantum Genomics Backtested Returns
Quantum Genomics is out of control given 3 months investment horizon. Quantum Genomics maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the firm had a 0.19% return per unit of risk over the last 3 months. We were able to interpolate data for thirty different technical indicators, which can help you to evaluate if expected returns of 7.15% are justified by taking the suggested risk. Use Quantum Genomics Semi Deviation of 13.32, risk adjusted performance of 0.1217, and Coefficient Of Variation of 682.08 to evaluate company specific risk that cannot be diversified away. Quantum Genomics holds a performance score of 14 on a scale of zero to a hundred. The company holds a Beta of -3.89, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Quantum Genomics are expected to decrease by larger amounts. On the other hand, during market turmoil, Quantum Genomics is expected to outperform it. Use Quantum Genomics semi deviation, sortino ratio, semi variance, as well as the relationship between the standard deviation and value at risk , to analyze future returns on Quantum Genomics.
Auto-correlation | 0.00 |
No correlation between past and present
Quantum Genomics SA has no correlation between past and present. Overlapping area represents the amount of predictability between Quantum Genomics time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Quantum Genomics price movement. The serial correlation of 0.0 indicates that just 0.0% of current Quantum Genomics 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 |
Quantum Genomics lagged returns against current returns
Autocorrelation, which is Quantum Genomics 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 Quantum Genomics' stock expected returns. We can calculate the autocorrelation of Quantum Genomics returns to help us make a trade decision. For example, suppose you find that Quantum Genomics 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 |
Quantum Genomics 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 Quantum Genomics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantum Genomics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantum Genomics stock over time.
Current vs Lagged Prices |
| Timeline |
Quantum Genomics Lagged Returns
When evaluating Quantum Genomics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantum Genomics stock have on its future price. Quantum Genomics 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, Quantum Genomics autocorrelation shows the relationship between Quantum Genomics stock current value and its past values and can show if there is a momentum factor associated with investing in Quantum Genomics SA.
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 Quantum Stock Analysis
When running Quantum Genomics' price analysis, check to measure Quantum Genomics' 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 Quantum Genomics is operating at the current time. Most of Quantum Genomics' value examination focuses on studying past and present price action to predict the probability of Quantum Genomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Genomics' price. Additionally, you may evaluate how the addition of Quantum Genomics to your portfolios can decrease your overall portfolio volatility.