Edgepoint Canadian Portfolio Fund Probability of Future Fund Price Finishing Over 53.89
| 0P0000JO4N | 55.45 0.19 0.34% |
Edgepoint |
Edgepoint Canadian Target Price Odds to finish over 53.89
The tendency of Edgepoint Fund 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 53.89 in 90 days |
| 55.45 | 90 days | 53.89 | about 16.59 |
Based on a normal probability distribution, the odds of Edgepoint Canadian to stay above 53.89 in 90 days from now is about 16.59 (This Edgepoint Canadian Portfolio probability density function shows the probability of Edgepoint Fund to fall within a particular range of prices over 90 days) . Probability of Edgepoint Canadian price to stay between 53.89 and its current price of 55.45 at the end of the 90-day period is about 13.64 .
Assuming the 90 days trading horizon Edgepoint Canadian Portfolio has a beta of -0.0244. This suggests as returns on the benchmark increase, returns on holding Edgepoint Canadian are expected to decrease at a much lower rate. During a bear market, however, Edgepoint Canadian Portfolio is likely to outperform the market. Additionally Edgepoint Canadian Portfolio has an alpha of 0.1477, implying that it can generate a 0.15 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Edgepoint Canadian Price Density |
| Price |
Predictive Modules for Edgepoint Canadian
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Edgepoint Canadian. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.Edgepoint Canadian Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Edgepoint Canadian is not an exception. The market had few large corrections towards the Edgepoint Canadian'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 Edgepoint Canadian Portfolio, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Edgepoint Canadian within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.15 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 1.70 | |
Ir | Information ratio | 0.03 |
Edgepoint Canadian Technical Analysis
Edgepoint Canadian's future price can be derived by breaking down and analyzing its technical indicators over time. Edgepoint Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Edgepoint Canadian Portfolio. In general, you should focus on analyzing Edgepoint Fund price patterns and their correlations with different microeconomic environments and drivers.
Edgepoint Canadian Predictive Forecast Models
Edgepoint Canadian's time-series forecasting models is one of many Edgepoint Canadian's fund 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 Edgepoint Canadian'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 fund 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 Edgepoint Canadian 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, Edgepoint Canadian's short interest history, or implied volatility extrapolated from Edgepoint Canadian options trading.
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