Td Index Fund E Fund Odds of Future Fund Price Finishing Over 152.10
| TDB902 Fund | 151.39 0.65 0.43% |
TDB902 |
TD Index Target Price Odds to finish over 152.10
The tendency of TDB902 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 152.10 or more in 90 days |
| 151.39 | 90 days | 152.10 | nearly 4.82 |
Based on a normal probability distribution, the odds of TD Index to move over 152.10 or more in 90 days from now is nearly 4.82 (This TD Index Fund E probability density function shows the probability of TDB902 Fund to fall within a particular range of prices over 90 days) . Probability of TD Index Fund price to stay between its current price of 151.39 and 152.10 at the end of the 90-day period is about 1.29 .
Assuming the 90 days trading horizon TD Index has a beta of 0.57. This usually implies as returns on the market go up, TD Index average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding TD Index Fund E will be expected to be much smaller as well. Additionally TD Index Fund E has an alpha of 0.1556, implying that it can generate a 0.16 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). TD Index Price Density |
| Price |
Predictive Modules for TD Index
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TD Index Fund. 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.TD Index Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. TD Index is not an exception. The market had few large corrections towards the TD Index'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 TD Index Fund E, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of TD Index within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.16 | |
β | Beta against Dow Jones | 0.57 | |
σ | Overall volatility | 6.05 | |
Ir | Information ratio | 0.15 |
TD Index Technical Analysis
TD Index's future price can be derived by breaking down and analyzing its technical indicators over time. TDB902 Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of TD Index Fund E. In general, you should focus on analyzing TDB902 Fund price patterns and their correlations with different microeconomic environments and drivers.
TD Index Predictive Forecast Models
TD Index's time-series forecasting models is one of many TD Index'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 TD Index'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 TD Index 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, TD Index's short interest history, or implied volatility extrapolated from TD Index options trading.
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