Symphony Floating Rate Fund Probability of Future Fund Price Finishing Over 7.09
| SSF-UN Fund | CAD 7.06 0.05 0.71% |
Symphony |
Symphony Floating Target Price Odds to finish over 7.09
The tendency of Symphony 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 move over C$ 7.09 or more in 90 days |
| 7.06 | 90 days | 7.09 | about 1.27 |
Based on a normal probability distribution, the odds of Symphony Floating to move over C$ 7.09 or more in 90 days from now is about 1.27 (This Symphony Floating Rate probability density function shows the probability of Symphony Fund to fall within a particular range of prices over 90 days) . Probability of Symphony Floating Rate price to stay between its current price of C$ 7.06 and C$ 7.09 at the end of the 90-day period is roughly 2.42 .
Assuming the 90 days trading horizon Symphony Floating has a beta of 0.0846. This usually implies as returns on the market go up, Symphony Floating average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Symphony Floating Rate will be expected to be much smaller as well. Additionally Symphony Floating Rate has an alpha of 0.0371, implying that it can generate a 0.0371 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Symphony Floating Price Density |
| Price |
Predictive Modules for Symphony Floating
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Symphony Floating Rate. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Symphony Floating'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.
Symphony Floating Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Symphony Floating is not an exception. The market had few large corrections towards the Symphony Floating'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 Symphony Floating Rate, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Symphony Floating within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 0.07 | |
Ir | Information ratio | -0.13 |
Symphony Floating Technical Analysis
Symphony Floating's future price can be derived by breaking down and analyzing its technical indicators over time. Symphony Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Symphony Floating Rate. In general, you should focus on analyzing Symphony Fund price patterns and their correlations with different microeconomic environments and drivers.
Symphony Floating Predictive Forecast Models
Symphony Floating's time-series forecasting models is one of many Symphony Floating'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 Symphony Floating'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 Symphony Floating 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, Symphony Floating's short interest history, or implied volatility extrapolated from Symphony Floating options trading.
Other Information on Investing in Symphony Fund
Symphony Floating financial ratios help investors to determine whether Symphony Fund 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 Symphony with respect to the benefits of owning Symphony Floating security.
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