Cymbria Stock Odds of Future Stock Price Finishing Under 72.45
| CYB Stock | CAD 72.45 0.45 0.63% |
Cymbria |
Cymbria Target Price Odds to finish below 72.45
The tendency of Cymbria 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 move below current price in 90 days |
| 72.45 | 90 days | 72.45 | about 13.99 |
Based on a normal probability distribution, the odds of Cymbria to move below current price in 90 days from now is about 13.99 (This Cymbria probability density function shows the probability of Cymbria Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Cymbria has a beta of 0.19 suggesting as returns on the market go up, Cymbria average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Cymbria will be expected to be much smaller as well. Additionally Cymbria has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Cymbria Price Density |
| Price |
Predictive Modules for Cymbria
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cymbria. 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.Cymbria Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Cymbria is not an exception. The market had few large corrections towards the Cymbria'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 Cymbria, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Cymbria within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0076 | |
β | Beta against Dow Jones | 0.19 | |
σ | Overall volatility | 1.61 | |
Ir | Information ratio | -0.03 |
Cymbria 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 Cymbria Stock often depends not only on the future outlook of the current and potential Cymbria'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. Cymbria's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 23.6 M | |
| Cash And Short Term Investments | 138.8 M |
Cymbria Technical Analysis
Cymbria's future price can be derived by breaking down and analyzing its technical indicators over time. Cymbria Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Cymbria. In general, you should focus on analyzing Cymbria Stock price patterns and their correlations with different microeconomic environments and drivers.
Cymbria Predictive Forecast Models
Cymbria's time-series forecasting models is one of many Cymbria'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 Cymbria'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 Cymbria 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, Cymbria's short interest history, or implied volatility extrapolated from Cymbria options trading.
Other Information on Investing in Cymbria Stock
Cymbria financial ratios help investors to determine whether Cymbria Stock 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 Cymbria with respect to the benefits of owning Cymbria security.