AXA SA (France) Market Value
| CS Stock | EUR 33.82 0.16 0.48% |
| 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.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in AXA SA on March 17, 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 30 days. AXA SA is related to or competes with BNP Paribas, Sanofi SA, Credit Agricole, Societe Generale, and Vinci SA. AXA SA, through its subsidiaries, provides insurance, asset management, and banking services worldwide 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 | 0.9757 | |||
| Information Ratio | 0.183 | |||
| Maximum Drawdown | 4.86 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 2.0 |
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 | 0.162 | |||
| Jensen Alpha | 0.218 | |||
| Total Risk Alpha | 0.1405 | |||
| Sortino Ratio | 0.1664 | |||
| Treynor Ratio | (3.91) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AXA SA's 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.
AXA SA Backtested Returns
AXA SA appears to be very steady, given 3 months investment horizon. AXA SA retains Efficiency (Sharpe Ratio) of 0.24, which signifies that the company had a 0.24% 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 (3.90), and Coefficient Of Variation of 394.24 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 18. The firm owns a Beta (Systematic Risk) of -0.055, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning AXA SA are expected to decrease at a much lower rate. During the bear market, AXA SA is likely to outperform the market. 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 | -0.6 |
Good reverse predictability
AXA SA has good reverse predictability. Overlapping area represents the amount of predictability between AXA SA time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th of April 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 AXA SA price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current AXA SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AXA SA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AXA SA's short interest history, or implied volatility extrapolated from AXA SA options trading.
Pair Trading with AXA SA
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AXA SA position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AXA SA will appreciate offsetting losses from the drop in the long position's value.Moving together with AXA Stock
| 0.74 | ALIDS | Idsud SA | PairCorr |
The ability to find closely correlated positions to AXA SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AXA SA when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AXA SA - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AXA SA to buy it.
The correlation of AXA SA is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AXA SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AXA SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AXA SA can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out AXA SA Correlation, AXA SA Volatility and AXA SA Alpha and Beta module to complement your research on AXA SA. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for AXA Stock analysis
When running AXA SA's price analysis, check to measure AXA SA'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 AXA SA is operating at the current time. Most of AXA SA's value examination focuses on studying past and present price action to predict the probability of AXA SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AXA SA's price. Additionally, you may evaluate how the addition of AXA SA to your portfolios can decrease your overall portfolio volatility.
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AXA SA technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.