Agfiq Market Neutral Etf Probability of Future Etf Price Finishing Over 22.65
| QBTL Etf | CAD 19.04 0.33 1.76% |
AGFiQ |
AGFiQ Market Target Price Odds to finish over 22.65
The tendency of AGFiQ 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 Price | Horizon | Target Price | Odds to move over C$ 22.65 or more in 90 days |
| 19.04 | 90 days | 22.65 | near 1 |
Based on a normal probability distribution, the odds of AGFiQ Market to move over C$ 22.65 or more in 90 days from now is near 1 (This AGFiQ Market Neutral probability density function shows the probability of AGFiQ Etf to fall within a particular range of prices over 90 days) . Probability of AGFiQ Market Neutral price to stay between its current price of C$ 19.04 and C$ 22.65 at the end of the 90-day period is about 92.54 .
Assuming the 90 days trading horizon AGFiQ Market Neutral has a beta of -0.37 indicating as returns on the benchmark increase, returns on holding AGFiQ Market are expected to decrease at a much lower rate. During a bear market, however, AGFiQ Market Neutral is likely to outperform the market. Additionally AGFiQ Market Neutral 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. AGFiQ Market Price Density |
| Price |
Predictive Modules for AGFiQ Market
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AGFiQ Market Neutral. 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.AGFiQ Market Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. AGFiQ Market is not an exception. The market had few large corrections towards the AGFiQ Market'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 AGFiQ Market Neutral, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of AGFiQ Market within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.13 | |
β | Beta against Dow Jones | -0.37 | |
σ | Overall volatility | 0.52 | |
Ir | Information ratio | -0.33 |
AGFiQ Market 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 AGFiQ Market for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for AGFiQ Market Neutral can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| AGFiQ Market Neutral generated a negative expected return over the last 90 days | |
| The fund maintains most of the assets in different exotic instruments. |
AGFiQ Market Technical Analysis
AGFiQ Market's future price can be derived by breaking down and analyzing its technical indicators over time. AGFiQ Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of AGFiQ Market Neutral. In general, you should focus on analyzing AGFiQ Etf price patterns and their correlations with different microeconomic environments and drivers.
AGFiQ Market Predictive Forecast Models
AGFiQ Market's time-series forecasting models is one of many AGFiQ Market'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 AGFiQ Market'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 AGFiQ Market Neutral
Checking the ongoing alerts about AGFiQ Market for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for AGFiQ Market Neutral help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| AGFiQ Market Neutral generated a negative expected return over the last 90 days | |
| The fund maintains most of the assets in different exotic instruments. |
Check out AGFiQ Market Backtesting, Portfolio Optimization, AGFiQ Market Correlation, AGFiQ Market Hype Analysis, AGFiQ Market Volatility, AGFiQ Market History as well as AGFiQ Market Performance. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.