Evolution (Germany) Market Value
| E3G1 Stock | 76.76 0.78 1.03% |
| Symbol | Evolution |
Evolution '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 Evolution'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 Evolution.
| 02/16/2023 |
| 01/06/2025 |
If you would invest 0.00 in Evolution on February 16, 2023 and sell it all today you would earn a total of 0.00 from holding Evolution AB or generate 0.0% return on investment in Evolution over 690 days.
Evolution 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 Evolution'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 Evolution AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 23.82 | |||
| Value At Risk | (3.20) | |||
| Potential Upside | 2.35 |
Evolution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolution's standard deviation. In reality, there are many statistical measures that can use Evolution historical prices to predict the future Evolution's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.65) |
Evolution AB Backtested Returns
Evolution AB secures Sharpe Ratio (or Efficiency) of -0.0567, which denotes the company had a -0.0567% return per unit of risk over the last 3 months. Evolution AB exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Evolution's Standard Deviation of 2.55, mean deviation of 1.43, and Variance of 6.52 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.35, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evolution's returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolution is expected to be smaller as well. At this point, Evolution AB has a negative expected return of -0.15%. Please make sure to confirm Evolution's information ratio, total risk alpha, potential upside, as well as the relationship between the jensen alpha and treynor ratio , to decide if Evolution AB performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.70 |
Good predictability
Evolution AB has good predictability. Overlapping area represents the amount of predictability between Evolution time series from 16th of February 2023 to 27th of January 2024 and 27th of January 2024 to 6th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Evolution AB price movement. The serial correlation of 0.7 indicates that around 70.0% of current Evolution price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 137.79 |
Evolution AB lagged returns against current returns
Autocorrelation, which is Evolution 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 Evolution's stock expected returns. We can calculate the autocorrelation of Evolution returns to help us make a trade decision. For example, suppose you find that Evolution 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 |
Evolution 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 Evolution stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Evolution stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Evolution stock over time.
Current vs Lagged Prices |
| Timeline |
Evolution Lagged Returns
When evaluating Evolution's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Evolution stock have on its future price. Evolution 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, Evolution autocorrelation shows the relationship between Evolution stock current value and its past values and can show if there is a momentum factor associated with investing in Evolution AB.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Evolution Stock Analysis
When running Evolution's price analysis, check to measure Evolution'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 Evolution is operating at the current time. Most of Evolution's value examination focuses on studying past and present price action to predict the probability of Evolution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Evolution's price. Additionally, you may evaluate how the addition of Evolution to your portfolios can decrease your overall portfolio volatility.