Crdit Agricole Sa Stock Market Value
| CRARF Stock | USD 17.42 0.09 0.52% |
| Symbol | Crédit |
Crédit Agricole '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 Crédit Agricole's pink sheet 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 Crédit Agricole.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Crédit Agricole on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Crdit Agricole SA or generate 0.0% return on investment in Crédit Agricole over 90 days. Crédit Agricole is related to or competes with BNP Paribas, Farmers, Bancorp, Banco Bradesco, Itau Unibanco, Lloyds Banking, and Deutsche Bank. Crdit Agricole S.A. provides retail, corporate, insurance, and investment banking products and services worldwide More
Crédit Agricole 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 Crédit Agricole's pink sheet 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 Crdit Agricole SA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.89 | |||
| Information Ratio | 0.2604 | |||
| Maximum Drawdown | 10.01 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 3.99 |
Crédit Agricole Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Crédit Agricole's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Crédit Agricole's standard deviation. In reality, there are many statistical measures that can use Crédit Agricole historical prices to predict the future Crédit Agricole's volatility.| Risk Adjusted Performance | 0.1866 | |||
| Jensen Alpha | 0.4025 | |||
| Total Risk Alpha | 0.6218 | |||
| Sortino Ratio | 0.2611 | |||
| Treynor Ratio | 2.32 |
Crdit Agricole SA Backtested Returns
Crédit Agricole appears to be not too volatile, given 3 months investment horizon. Crdit Agricole SA secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the company had a 0.23 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Crdit Agricole SA, which you can use to evaluate the volatility of the firm. Please makes use of Crédit Agricole's mean deviation of 1.3, and Risk Adjusted Performance of 0.1866 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Crédit Agricole holds a performance score of 17. The firm shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Crédit Agricole's returns are expected to increase less than the market. However, during the bear market, the loss of holding Crédit Agricole is expected to be smaller as well. Please check Crédit Agricole's potential upside, day median price, and the relationship between the sortino ratio and skewness , to make a quick decision on whether Crédit Agricole's price patterns will revert.
Auto-correlation | 0.83 |
Very good predictability
Crdit Agricole SA has very good predictability. Overlapping area represents the amount of predictability between Crédit Agricole time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 Crdit Agricole SA price movement. The serial correlation of 0.83 indicates that around 83.0% of current Crédit Agricole price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.63 |
Crdit Agricole SA lagged returns against current returns
Autocorrelation, which is Crédit Agricole pink sheet'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 Crédit Agricole's pink sheet expected returns. We can calculate the autocorrelation of Crédit Agricole returns to help us make a trade decision. For example, suppose you find that Crédit Agricole has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Crédit Agricole 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 Crédit Agricole pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Crédit Agricole pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Crédit Agricole pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Crédit Agricole Lagged Returns
When evaluating Crédit Agricole's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Crédit Agricole pink sheet have on its future price. Crédit Agricole 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, Crédit Agricole autocorrelation shows the relationship between Crédit Agricole pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Crdit Agricole SA.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Crédit Pink Sheet
Crédit Agricole financial ratios help investors to determine whether Crédit Pink Sheet 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 Crédit with respect to the benefits of owning Crédit Agricole security.