Credit Agricole Sa Stock Price Prediction
| CRARY Stock | USD 6.75 0.17 2.46% |
Oversold Vs Overbought
30
Oversold | Overbought |
Using Credit Agricole hype-based prediction, you can estimate the value of Credit Agricole SA from the perspective of Credit Agricole response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Credit Agricole to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Credit because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Credit Agricole after-hype prediction price | USD 6.75 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Credit |
Credit Agricole After-Hype Price Prediction Density Analysis
As far as predicting the price of Credit Agricole at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Credit Agricole or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Credit Agricole, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Credit Agricole Estimiated After-Hype Price Volatility
In the context of predicting Credit Agricole's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Credit Agricole's historical news coverage. Credit Agricole's after-hype downside and upside margins for the prediction period are 5.38 and 8.12, respectively. We have considered Credit Agricole's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Credit Agricole is not too volatile at this time. Analysis and calculation of next after-hype price of Credit Agricole SA is based on 3 months time horizon.
Credit Agricole Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Credit Agricole is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Credit Agricole backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Credit Agricole, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.18 | 1.38 | 0.00 | 3.80 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
6.75 | 6.75 | 0.00 |
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Credit Agricole Hype Timeline
Credit Agricole SA is currently traded for 6.75. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -3.8. Credit is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -0.18%. %. The volatility of related hype on Credit Agricole is about 6.54%, with the expected price after the next announcement by competition of 2.95. The company has price-to-book (P/B) ratio of 0.46. Some equities with similar Price to Book (P/B) outperform the market in the long run. Credit Agricole SA has Price/Earnings To Growth (PEG) ratio of 1.88. The entity last dividend was issued on the 26th of May 2022. Assuming the 90 days horizon the next projected press release will be in 5 to 10 days. Check out Credit Agricole Basic Forecasting Models to cross-verify your projections.Credit Agricole Related Hype Analysis
Having access to credible news sources related to Credit Agricole's direct competition is more important than ever and may enhance your ability to predict Credit Agricole's future price movements. Getting to know how Credit Agricole's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Credit Agricole may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PSBQ | PSB Holdings | 0.00 | 0 per month | 0.00 | 0.06 | 1.92 | (0.99) | 5.36 | |
| UOVEY | United Overseas Bank | (42.22) | 5 per month | 0.64 | 0.09 | 2.14 | (1.26) | 8.73 |
Credit Agricole Additional Predictive Modules
Most predictive techniques to examine Credit price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Credit using various technical indicators. When you analyze Credit charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Credit Agricole Predictive Indicators
The successful prediction of Credit Agricole stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Credit Agricole SA, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Credit Agricole based on analysis of Credit Agricole hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Credit Agricole's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Credit Agricole's related companies.
Story Coverage note for Credit Agricole
The number of cover stories for Credit Agricole depends on current market conditions and Credit Agricole's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Credit Agricole is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Credit Agricole's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Credit Agricole Short Properties
Credit Agricole's future price predictability will typically decrease when Credit Agricole's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Credit Agricole SA often depends not only on the future outlook of the potential Credit Agricole's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Credit Agricole's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 6 B | |
| Cash And Short Term Investments | 640.8 B |
Additional Tools for Credit Pink Sheet Analysis
When running Credit Agricole's price analysis, check to measure Credit Agricole'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 Credit Agricole is operating at the current time. Most of Credit Agricole's value examination focuses on studying past and present price action to predict the probability of Credit Agricole's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Credit Agricole's price. Additionally, you may evaluate how the addition of Credit Agricole to your portfolios can decrease your overall portfolio volatility.