Pender Real Estate Fund Probability of Future Mutual Fund Price Finishing Over 10.12
| PNDIX Fund | 10.03 0.06 0.59% |
Pender |
Pender Real Target Price Odds to finish over 10.12
The tendency of Pender Mutual 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 10.12 or more in 90 days |
| 10.03 | 90 days | 10.12 | about 1.4 |
Based on a normal probability distribution, the odds of Pender Real to move over 10.12 or more in 90 days from now is about 1.4 (This Pender Real Estate probability density function shows the probability of Pender Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Pender Real Estate price to stay between its current price of 10.03 and 10.12 at the end of the 90-day period is about 27.74 .
Assuming the 90 days horizon Pender Real Estate has a beta of -0.0067 indicating as returns on the benchmark increase, returns on holding Pender Real are expected to decrease at a much lower rate. During a bear market, however, Pender Real Estate is likely to outperform the market. Additionally Pender Real Estate has an alpha of 0.0091, implying that it can generate a 0.009132 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Pender Real Price Density |
| Price |
Predictive Modules for Pender Real
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pender Real Estate. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.Pender Real Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pender Real is not an exception. The market had few large corrections towards the Pender Real'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 Pender Real Estate, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pender Real within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.0067 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -1.34 |
Pender Real Technical Analysis
Pender Real's future price can be derived by breaking down and analyzing its technical indicators over time. Pender Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pender Real Estate. In general, you should focus on analyzing Pender Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Pender Real Predictive Forecast Models
Pender Real's time-series forecasting models is one of many Pender Real's mutual 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 Pender Real'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 mutual 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 Pender Real 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, Pender Real's short interest history, or implied volatility extrapolated from Pender Real options trading.
Other Information on Investing in Pender Mutual Fund
Pender Real financial ratios help investors to determine whether Pender Mutual 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 Pender with respect to the benefits of owning Pender Real security.
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