Zurich Insurance (Switzerland) Probability of Future Stock Price Finishing Over 365.2
| ZURN Stock | CHF 446.30 7.50 1.65% |
Zurich |
Zurich Insurance Target Price Odds to finish over 365.2
The tendency of Zurich 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 Price | Horizon | Target Price | Odds to stay above ₣ 365.20 in 90 days |
| 446.30 | 90 days | 365.20 | close to 99 |
Based on a normal probability distribution, the odds of Zurich Insurance to stay above ₣ 365.20 in 90 days from now is close to 99 (This Zurich Insurance Group probability density function shows the probability of Zurich Stock to fall within a particular range of prices over 90 days) . Probability of Zurich Insurance price to stay between ₣ 365.20 and its current price of ₣446.3 at the end of the 90-day period is about 68.07 .
Assuming the 90 days trading horizon Zurich Insurance Group has a beta of -0.0911. This usually means as returns on the benchmark increase, returns on holding Zurich Insurance are expected to decrease at a much lower rate. During a bear market, however, Zurich Insurance Group is likely to outperform the market. Additionally Zurich Insurance Group has an alpha of 0.1547, implying that it can generate a 0.15 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Zurich Insurance Price Density |
| Price |
Predictive Modules for Zurich Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Zurich Insurance. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zurich Insurance'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.
Zurich Insurance Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Zurich Insurance is not an exception. The market had few large corrections towards the Zurich Insurance'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 Zurich Insurance Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Zurich Insurance within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.15 | |
β | Beta against NYSE Composite | -0.09 | |
σ | Overall volatility | 18.56 | |
Ir | Information ratio | 0.07 |
Zurich Insurance 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 Zurich Stock often depends not only on the future outlook of the current and potential Zurich Insurance'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. Zurich Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 147.5 M |
Zurich Insurance Technical Analysis
Zurich Insurance's future price can be derived by breaking down and analyzing its technical indicators over time. Zurich Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Zurich Insurance Group. In general, you should focus on analyzing Zurich Stock price patterns and their correlations with different microeconomic environments and drivers.
Zurich Insurance Predictive Forecast Models
Zurich Insurance's time-series forecasting models is one of many Zurich Insurance'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 Zurich Insurance'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.
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 Zurich Insurance 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, Zurich Insurance's short interest history, or implied volatility extrapolated from Zurich Insurance options trading.
Check out Zurich Insurance Backtesting, Zurich Insurance Valuation, Zurich Insurance Correlation, Zurich Insurance Hype Analysis, Zurich Insurance Volatility, Zurich Insurance History as well as Zurich Insurance Performance. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Zurich Stock analysis
When running Zurich Insurance's price analysis, check to measure Zurich Insurance'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 Zurich Insurance is operating at the current time. Most of Zurich Insurance's value examination focuses on studying past and present price action to predict the probability of Zurich Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zurich Insurance's price. Additionally, you may evaluate how the addition of Zurich Insurance to your portfolios can decrease your overall portfolio volatility.
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