Schindler Holding (Switzerland) Probability of Future Stock Price Finishing Under 230.64

SCHN Stock  CHF 249.50  1.50  0.60%   
Schindler Holding's future price is the expected price of Schindler Holding 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 Schindler Holding AG performance during a given time horizon utilizing its historical volatility. Check out Schindler Holding Backtesting, Schindler Holding Valuation, Schindler Holding Correlation, Schindler Holding Hype Analysis, Schindler Holding Volatility, Schindler Holding History as well as Schindler Holding Performance.
  
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Schindler Holding Target Price Odds to finish below 230.64

The tendency of Schindler Stock 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 ₣ 230.64  or more in 90 days
 249.50 90 days 230.64 
about 5.65
Based on a normal probability distribution, the odds of Schindler Holding to drop to ₣ 230.64  or more in 90 days from now is about 5.65 (This Schindler Holding AG probability density function shows the probability of Schindler Stock to fall within a particular range of prices over 90 days) . Probability of Schindler Holding price to stay between ₣ 230.64  and its current price of ₣249.5 at the end of the 90-day period is about 79.32 .
Assuming the 90 days trading horizon Schindler Holding has a beta of 0.25. This usually implies as returns on the market go up, Schindler Holding average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Schindler Holding AG will be expected to be much smaller as well. Additionally Schindler Holding AG has an alpha of 0.0899, implying that it can generate a 0.0899 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Schindler Holding Price Density   
       Price  

Predictive Modules for Schindler Holding

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Schindler Holding. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Hype
Prediction
LowEstimatedHigh
248.44249.50250.56
Details
Intrinsic
Valuation
LowRealHigh
197.69198.75274.45
Details
Naive
Forecast
LowNextHigh
249.53250.59251.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
243.88248.06252.25
Details

Schindler Holding Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Schindler Holding is not an exception. The market had few large corrections towards the Schindler Holding'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 Schindler Holding AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Schindler Holding within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.09
β
Beta against Dow Jones0.25
σ
Overall volatility
7.21
Ir
Information ratio -0.0052

Schindler Holding Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Schindler Holding for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Schindler Holding can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
About 70.0% of the company outstanding shares are owned by corporate insiders

Schindler Holding 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 Schindler Stock often depends not only on the future outlook of the current and potential Schindler Holding'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. Schindler Holding's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding107.7 M
Cash And Short Term Investments3.8 B

Schindler Holding Technical Analysis

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

Schindler Holding Predictive Forecast Models

Schindler Holding's time-series forecasting models is one of many Schindler Holding's stock 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 Schindler Holding'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 stock market movement and maximize returns from investment trading.

Things to note about Schindler Holding

Checking the ongoing alerts about Schindler Holding for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Schindler Holding help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
About 70.0% of the company outstanding shares are owned by corporate insiders

Additional Tools for Schindler Stock Analysis

When running Schindler Holding's price analysis, check to measure Schindler Holding'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 Schindler Holding is operating at the current time. Most of Schindler Holding's value examination focuses on studying past and present price action to predict the probability of Schindler Holding's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schindler Holding's price. Additionally, you may evaluate how the addition of Schindler Holding to your portfolios can decrease your overall portfolio volatility.