AXA SA (Germany) Market Value
| AXA Stock | EUR 38.79 0.88 2.32% |
| Symbol | AXA |
AXA SA '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 AXA SA'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 AXA SA.
| 12/12/2024 |
| 03/12/2025 |
If you would invest 0.00 in AXA SA on December 12, 2024 and sell it all today you would earn a total of 0.00 from holding AXA SA or generate 0.0% return on investment in AXA SA over 90 days. AXA SA is related to or competes with DAIRY FARM, Australian Agricultural, Compugroup Medical, SCANDMEDICAL SOLDK, and Federal Agricultural. More
AXA SA 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 AXA SA'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 AXA SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.06 | |||
| Information Ratio | 0.3276 | |||
| Maximum Drawdown | 5.0 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 2.03 |
AXA SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AXA SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AXA SA's standard deviation. In reality, there are many statistical measures that can use AXA SA historical prices to predict the future AXA SA's volatility.| Risk Adjusted Performance | 0.1869 | |||
| Jensen Alpha | 0.2537 | |||
| Total Risk Alpha | 0.4247 | |||
| Sortino Ratio | 0.3529 | |||
| Treynor Ratio | 3.05 |
AXA SA Backtested Returns
AXA SA appears to be very steady, given 3 months investment horizon. AXA SA retains Efficiency (Sharpe Ratio) of 0.19, which signifies that the company had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for AXA SA, which you can use to evaluate the volatility of the firm. Please makes use of AXA SA's market risk adjusted performance of 3.06, and Coefficient Of Variation of 452.49 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AXA SA holds a performance score of 14. The firm owns a Beta (Systematic Risk) of 0.0798, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AXA SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding AXA SA is expected to be smaller as well. Please check AXA SA's mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and total risk alpha , to make a quick decision on whether AXA SA's current price history will revert.
Auto-correlation | 0.71 |
Good predictability
AXA SA has good predictability. Overlapping area represents the amount of predictability between AXA SA time series from 12th of December 2024 to 26th of January 2025 and 26th of January 2025 to 12th of March 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 AXA SA price movement. The serial correlation of 0.71 indicates that around 71.0% of current AXA SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
AXA SA lagged returns against current returns
Autocorrelation, which is AXA SA 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 AXA SA's stock expected returns. We can calculate the autocorrelation of AXA SA returns to help us make a trade decision. For example, suppose you find that AXA SA 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 |
AXA SA 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 AXA SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AXA SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AXA SA stock over time.
Current vs Lagged Prices |
| Timeline |
AXA SA Lagged Returns
When evaluating AXA SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AXA SA stock have on its future price. AXA SA 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, AXA SA autocorrelation shows the relationship between AXA SA stock current value and its past values and can show if there is a momentum factor associated with investing in AXA SA.
Regressed Prices |
| Timeline |
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AXA SA financial ratios help investors to determine whether AXA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AXA with respect to the benefits of owning AXA SA security.