Swiss Life Holding Stock Price Prediction
| SWSDF Stock | USD 784.85 6.12 0.77% |
Oversold Vs Overbought
24
Oversold | Overbought |
Using Swiss Life hype-based prediction, you can estimate the value of Swiss Life Holding from the perspective of Swiss Life 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 Swiss Life to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Swiss 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.
Swiss Life after-hype prediction price | USD 784.85 |
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.
Swiss |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swiss Life'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.
Swiss Life After-Hype Price Prediction Density Analysis
As far as predicting the price of Swiss Life 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 Swiss Life 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 Swiss Life, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Swiss Life Estimiated After-Hype Price Volatility
In the context of predicting Swiss Life's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Swiss Life's historical news coverage. Swiss Life's after-hype downside and upside margins for the prediction period are 783.49 and 786.21, respectively. We have considered Swiss Life'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
Swiss Life is very steady at this time. Analysis and calculation of next after-hype price of Swiss Life Holding is based on 3 months time horizon.
Swiss Life Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Swiss Life is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Swiss Life 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 Swiss Life, 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 |
0.05 | 1.36 | 0.00 | 0.01 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
784.85 | 784.85 | 0.00 |
|
Swiss Life Hype Timeline
Swiss Life Holding is at this time traded for 784.85. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. Swiss is forecasted 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 forecasted to be very small, whereas the daily expected return is at this time at -0.05%. %. The volatility of related hype on Swiss Life is about 521.07%, with the expected price after the next announcement by competition of 784.86. About 31.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.39. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Swiss Life Holding has Price/Earnings To Growth (PEG) ratio of 1.87. The entity recorded earning per share (EPS) of 44.38. The firm last dividend was issued on the 26th of April 2022. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Swiss Life Basic Forecasting Models to cross-verify your projections.Swiss Life Related Hype Analysis
Having access to credible news sources related to Swiss Life's direct competition is more important than ever and may enhance your ability to predict Swiss Life's future price movements. Getting to know how Swiss Life'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 Swiss Life may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BLHEY | Baloise Holding Ltd | 0.00 | 0 per month | 0.00 | 0.02 | 1.57 | 0.00 | 25.79 | |
| ZFSVF | Zurich Insurance Group | 0.00 | 0 per month | 1.23 | (0.01) | 2.58 | (2.30) | 7.21 | |
| ALIZF | Allianz SE | 0.00 | 0 per month | 1.62 | (0.07) | 3.78 | (3.40) | 8.98 | |
| ALIZY | Allianz SE ADR | 0.00 | 0 per month | 1.27 | (0.04) | 2.28 | (1.88) | 7.60 | |
| SZLMY | Swiss Life Holding | 0.00 | 0 per month | 0.00 | (0.10) | 2.08 | (1.98) | 6.42 | |
| ZURVY | Zurich Insurance Group | 0.00 | 0 per month | 0.53 | (0.02) | 1.44 | (0.99) | 3.13 | |
| BRK-B | Berkshire Hathaway | 2.61 | 8 per month | 0.87 | (0.04) | 1.16 | (1.83) | 7.23 | |
| ARZGF | Assicurazioni Generali SpA | 0.00 | 0 per month | 0.00 | 0.01 | 0.00 | 0.00 | 7.21 | |
| ARZGY | Assicurazioni Generali SpA | 0.00 | 0 per month | 0.90 | (0.03) | 1.65 | (1.46) | 6.48 | |
| BBSEY | BB Seguridade Participacoes | 0.00 | 0 per month | 0.00 | (0.24) | 1.85 | (3.08) | 7.09 |
Swiss Life Additional Predictive Modules
Most predictive techniques to examine Swiss price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Swiss using various technical indicators. When you analyze Swiss 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 Swiss Life Predictive Indicators
The successful prediction of Swiss Life 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 Swiss Life Holding, 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 Swiss Life based on analysis of Swiss Life hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Swiss Life's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Swiss Life's related companies.
Story Coverage note for Swiss Life
The number of cover stories for Swiss Life depends on current market conditions and Swiss Life's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Swiss Life 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 Swiss Life's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Swiss Life Short Properties
Swiss Life's future price predictability will typically decrease when Swiss Life's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Swiss Life Holding often depends not only on the future outlook of the potential Swiss Life'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. Swiss Life's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 31.2 M | |
| Cash And Short Term Investments | 108.7 B |
Complementary Tools for Swiss Pink Sheet analysis
When running Swiss Life's price analysis, check to measure Swiss Life'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 Swiss Life is operating at the current time. Most of Swiss Life's value examination focuses on studying past and present price action to predict the probability of Swiss Life's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swiss Life's price. Additionally, you may evaluate how the addition of Swiss Life to your portfolios can decrease your overall portfolio volatility.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |