AES (Germany) Market Value
| AES Stock | EUR 13.86 0.01 0.07% |
| Symbol | AES |
AES '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 AES'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 AES.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in AES on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding The AES or generate 0.0% return on investment in AES over 90 days. AES is related to or competes with DANAHER (DAPSG), Advanced Micro, Philip Morris, Amgen, and Hong Kong. AES is entity of Germany. It is traded as Stock on MU exchange. More
AES 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 AES'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 The AES upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.73 | |||
| Information Ratio | 0.087 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 |
AES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AES's standard deviation. In reality, there are many statistical measures that can use AES historical prices to predict the future AES's volatility.| Risk Adjusted Performance | 0.0979 | |||
| Jensen Alpha | 0.193 | |||
| Total Risk Alpha | 0.1031 | |||
| Sortino Ratio | 0.0918 | |||
| Treynor Ratio | 0.961 |
AES February 18, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0979 | |||
| Market Risk Adjusted Performance | 0.971 | |||
| Mean Deviation | 1.11 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 1.73 | |||
| Coefficient Of Variation | 861.4 | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.33 | |||
| Information Ratio | 0.087 | |||
| Jensen Alpha | 0.193 | |||
| Total Risk Alpha | 0.1031 | |||
| Sortino Ratio | 0.0918 | |||
| Treynor Ratio | 0.961 | |||
| Maximum Drawdown | 11.65 | |||
| Value At Risk | (2.57) | |||
| Potential Upside | 2.19 | |||
| Downside Variance | 3.0 | |||
| Semi Variance | 1.44 | |||
| Expected Short fall | (1.52) | |||
| Skewness | 2.01 | |||
| Kurtosis | 10.97 |
AES Backtested Returns
AES appears to be not too volatile, given 3 months investment horizon. AES secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15 % return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for The AES, which you can use to evaluate the volatility of the firm. Please makes use of AES's Mean Deviation of 1.11, semi deviation of 1.2, and Risk Adjusted Performance of 0.0979 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AES holds a performance score of 12. The firm shows a Beta (market volatility) of 0.21, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AES's returns are expected to increase less than the market. However, during the bear market, the loss of holding AES is expected to be smaller as well. Please check AES's semi deviation, jensen alpha, maximum drawdown, as well as the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether AES's price patterns will revert.
Auto-correlation | 0.09 |
Virtually no predictability
The AES has virtually no predictability. Overlapping area represents the amount of predictability between AES time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AES price movement. The serial correlation of 0.09 indicates that less than 9.0% of current AES price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Thematic Opportunities
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Additional Tools for AES Stock Analysis
When running AES's price analysis, check to measure AES'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 AES is operating at the current time. Most of AES's value examination focuses on studying past and present price action to predict the probability of AES's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AES's price. Additionally, you may evaluate how the addition of AES to your portfolios can decrease your overall portfolio volatility.