Swiss Life Holding Stock Probability of Future Pink Sheet Price Finishing Under 773.01

SWSDF Stock  USD 784.85  6.12  0.77%   
Swiss Life's future price is the expected price of Swiss Life instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Swiss Life Holding performance during a given time horizon utilizing its historical volatility. Check out Swiss Life Backtesting, Swiss Life Valuation, Swiss Life Correlation, Swiss Life Hype Analysis, Swiss Life Volatility, Swiss Life History as well as Swiss Life Performance.
  
Please specify Swiss Life's target price for which you would like Swiss Life odds to be computed.

Swiss Life Target Price Odds to finish below 773.01

The tendency of Swiss Pink Sheet price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to drop to $ 773.01  or more in 90 days
 784.85 90 days 773.01 
under 4
Based on a normal probability distribution, the odds of Swiss Life to drop to $ 773.01  or more in 90 days from now is under 4 (This Swiss Life Holding probability density function shows the probability of Swiss Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Swiss Life Holding price to stay between $ 773.01  and its current price of $784.85 at the end of the 90-day period is about 5.69 .
Assuming the 90 days horizon Swiss Life Holding has a beta of -0.23. This usually implies as returns on the benchmark increase, returns on holding Swiss Life are expected to decrease at a much lower rate. During a bear market, however, Swiss Life Holding is likely to outperform the market. Additionally Swiss Life Holding has an alpha of 0.0938, implying that it can generate a 0.0938 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Swiss Life Price Density   
       Price  

Predictive Modules for Swiss Life

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Swiss Life Holding. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
783.23784.85786.47
Details
Intrinsic
Valuation
LowRealHigh
665.68667.30863.34
Details
Naive
Forecast
LowNextHigh
771.39773.01774.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
764.54802.92841.30
Details

Swiss Life Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Swiss Life is not an exception. The market had few large corrections towards the Swiss Life's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Swiss Life Holding, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Swiss Life within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.09
β
Beta against Dow Jones-0.23
σ
Overall volatility
23.27
Ir
Information ratio -0.03

Swiss Life Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Swiss Pink Sheet often depends not only on the future outlook of the current and 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 Outstanding31.2 M
Cash And Short Term Investments108.7 B

Swiss Life Technical Analysis

Swiss Life's future price can be derived by breaking down and analyzing its technical indicators over time. Swiss Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Swiss Life Holding. In general, you should focus on analyzing Swiss Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.

Swiss Life Predictive Forecast Models

Swiss Life's time-series forecasting models is one of many Swiss Life's pink sheet analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Swiss Life's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the pink sheet market movement and maximize returns from investment trading.
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 Swiss Life 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, Swiss Life's short interest history, or implied volatility extrapolated from Swiss Life options trading.

Other Information on Investing in Swiss Pink Sheet

Swiss Life financial ratios help investors to determine whether Swiss 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 Swiss with respect to the benefits of owning Swiss Life security.