Ci Short Term Etf Odds of Future Etf Price Finishing Under 16.83

FGB Etf  CAD 18.28  0.02  0.11%   
CI Short's future price is the expected price of CI Short 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 CI Short Term performance during a given time horizon utilizing its historical volatility. Check out CI Short Backtesting, Portfolio Optimization, CI Short Correlation, CI Short Hype Analysis, CI Short Volatility, CI Short History as well as CI Short Performance.
  
Please specify CI Short's target price for which you would like CI Short odds to be computed.

CI Short Target Price Odds to finish below 16.83

The tendency of FGB Etf 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 C$ 16.83  or more in 90 days
 18.28 90 days 16.83 
near 1
Based on a normal probability distribution, the odds of CI Short to drop to C$ 16.83  or more in 90 days from now is near 1 (This CI Short Term probability density function shows the probability of FGB Etf to fall within a particular range of prices over 90 days) . Probability of CI Short Term price to stay between C$ 16.83  and its current price of C$18.28 at the end of the 90-day period is roughly 2.79 .
Assuming the 90 days trading horizon CI Short Term has a beta of -0.0153. This usually indicates as returns on the benchmark increase, returns on holding CI Short are expected to decrease at a much lower rate. During a bear market, however, CI Short Term is likely to outperform the market. Additionally CI Short Term 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.
   CI Short Price Density   
       Price  

Predictive Modules for CI Short

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CI Short Term. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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
18.1318.2818.43
Details
Intrinsic
Valuation
LowRealHigh
18.1618.3118.46
Details
Naive
Forecast
LowNextHigh
18.1118.2618.41
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18.2418.3018.36
Details

CI Short Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. CI Short is not an exception. The market had few large corrections towards the CI Short'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 CI Short Term, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CI Short within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.0097
β
Beta against Dow Jones-0.02
σ
Overall volatility
0.06
Ir
Information ratio -0.87

CI Short 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 CI Short for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for CI Short Term can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
CI Short Term generated a negative expected return over the last 90 days
The fund retains about 99.94% of its assets under management (AUM) in fixed income securities

CI Short 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 FGB Etf often depends not only on the future outlook of the current and potential CI Short'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. CI Short's indicators that are reflective of the short sentiment are summarized in the table below.

CI Short Technical Analysis

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

CI Short Predictive Forecast Models

CI Short's time-series forecasting models is one of many CI Short's etf 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 CI Short'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 etf market movement and maximize returns from investment trading.

Things to note about CI Short Term

Checking the ongoing alerts about CI Short for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for CI Short Term help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
CI Short Term generated a negative expected return over the last 90 days
The fund retains about 99.94% of its assets under management (AUM) in fixed income securities

Other Information on Investing in FGB Etf

CI Short financial ratios help investors to determine whether FGB Etf 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 FGB with respect to the benefits of owning CI Short security.