Caixabank Sa Stock Price Prediction
| CIXPF Stock | USD 12.24 0.12 0.99% |
Momentum 88
Buy Peaked
Oversold | Overbought |
Using CaixaBank hype-based prediction, you can estimate the value of CaixaBank SA from the perspective of CaixaBank 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 CaixaBank to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying CaixaBank 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.
CaixaBank after-hype prediction price | USD 11.56 |
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.
CaixaBank |
CaixaBank After-Hype Price Prediction Density Analysis
As far as predicting the price of CaixaBank 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 CaixaBank 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 CaixaBank, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
CaixaBank Estimiated After-Hype Price Volatility
In the context of predicting CaixaBank's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on CaixaBank's historical news coverage. CaixaBank's after-hype downside and upside margins for the prediction period are 9.68 and 13.44, respectively. We have considered CaixaBank'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
CaixaBank is not too volatile at this time. Analysis and calculation of next after-hype price of CaixaBank SA is based on 3 months time horizon.
CaixaBank Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as CaixaBank is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading CaixaBank 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 CaixaBank, 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 |
0.36 | 1.88 | 0.68 | 0.29 | 16 Events / Month | 4 Events / Month | In about 16 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
12.24 | 11.56 | 5.56 |
|
CaixaBank Hype Timeline
CaixaBank SA is currently traded for 12.24. The entity has historical hype elasticity of -0.68, and average elasticity to hype of competition of -0.29. CaixaBank is projected to decline in value after the next headline, with the price expected to drop to 11.56. The average volatility of media hype impact on the company price is about 99.47%. The price reduction on the next news is expected to be -5.56%, whereas the daily expected return is currently at 0.36%. The volatility of related hype on CaixaBank is about 237.37%, with the expected price after the next announcement by competition of 11.95. About 50.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.78. Some equities with similar Price to Book (P/B) outperform the market in the long run. CaixaBank SA has Price/Earnings To Growth (PEG) ratio of 0.29. The entity last dividend was issued on the 2nd of November 2017. Assuming the 90 days horizon the next projected press release will be in about 16 days. Check out CaixaBank Basic Forecasting Models to cross-verify your projections.CaixaBank Related Hype Analysis
Having access to credible news sources related to CaixaBank's direct competition is more important than ever and may enhance your ability to predict CaixaBank's future price movements. Getting to know how CaixaBank'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 CaixaBank may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PSBKF | Postal Savings Bank | (1.89) | 2 per month | 0.00 | (0.06) | 2.94 | 0.00 | 22.22 | |
| EBKDY | Erste Group Bank | 0.00 | 0 per month | 0.83 | 0.23 | 3.25 | (1.80) | 8.44 | |
| OVCHF | Oversea Chinese Banking | (1.89) | 8 per month | 0.00 | 0.16 | 0.95 | 0.00 | 13.99 | |
| PSTVY | Postal Savings Bank | (1.89) | 13 per month | 2.33 | (0.02) | 3.89 | (5.22) | 18.75 | |
| LLDTF | Lloyds Banking Group | 0.00 | 0 per month | 3.16 | 0.08 | 10.40 | (6.67) | 24.58 | |
| INGVF | ING Groep NV | (0.12) | 8 per month | 0.00 | 0.12 | 3.92 | (3.12) | 12.39 | |
| NBNKF | Nordea Bank Abp | 0.00 | 0 per month | 1.06 | 0.05 | 3.59 | (2.06) | 17.31 | |
| MZHOF | Mizuho Financial Group | (0.24) | 4 per month | 2.05 | 0.14 | 4.49 | (4.38) | 27.97 | |
| OVCHY | Overseas Chinese Banking | 0.00 | 0 per month | 0.40 | 0.28 | 1.77 | (1.18) | 7.02 | |
| NRDBY | Nordea Bank Abp | (1.89) | 17 per month | 0.79 | 0.15 | 1.86 | (1.67) | 4.06 |
CaixaBank Additional Predictive Modules
Most predictive techniques to examine CaixaBank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CaixaBank using various technical indicators. When you analyze CaixaBank 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About CaixaBank Predictive Indicators
The successful prediction of CaixaBank 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 CaixaBank 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 CaixaBank based on analysis of CaixaBank hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to CaixaBank's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to CaixaBank's related companies.
Currently Active Assets on Macroaxis
Complementary Tools for CaixaBank Pink Sheet analysis
When running CaixaBank's price analysis, check to measure CaixaBank'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 CaixaBank is operating at the current time. Most of CaixaBank's value examination focuses on studying past and present price action to predict the probability of CaixaBank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CaixaBank's price. Additionally, you may evaluate how the addition of CaixaBank to your portfolios can decrease your overall portfolio volatility.
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |