New York Bond Fund Odds of Future Mutual Fund Price Finishing Over 14.13
| UNYBX Fund | USD 10.01 0.01 0.10% |
New |
New York Target Price Odds to finish over 14.13
The tendency of New 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 $ 14.13 or more in 90 days |
| 10.01 | 90 days | 14.13 | close to zero percent |
Based on a normal probability distribution, the odds of New York to move over $ 14.13 or more in 90 days from now is close to zero percent (This New York Bond probability density function shows the probability of New Mutual Fund to fall within a particular range of prices over 90 days) . Probability of New York Bond price to stay between its current price of $ 10.01 and $ 14.13 at the end of the 90-day period is close to 99 .
Assuming the 90 days horizon New York Bond has a beta of -0.11. This usually implies as returns on the benchmark increase, returns on holding New York are expected to decrease at a much lower rate. During a bear market, however, New York Bond is likely to outperform the market. Additionally New York Bond 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. New York Price Density |
| Price |
Predictive Modules for New York
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New York Bond. 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.New York Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. New York is not an exception. The market had few large corrections towards the New York'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 New York Bond, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of New York within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.12 | |
β | Beta against Dow Jones | -0.11 | |
σ | Overall volatility | 0.17 | |
Ir | Information ratio | -0.24 |
New York 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 New York for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for New York Bond can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| New York Bond generated a negative expected return over the last 90 days | |
| The fund generated three year return of -1.0% | |
| New York Bond keeps about 5.49% of its net assets in bonds |
New York Technical Analysis
New York's future price can be derived by breaking down and analyzing its technical indicators over time. New Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of New York Bond. In general, you should focus on analyzing New Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
New York Predictive Forecast Models
New York's time-series forecasting models is one of many New York'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 New York'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.
Things to note about New York Bond
Checking the ongoing alerts about New York for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for New York Bond help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| New York Bond generated a negative expected return over the last 90 days | |
| The fund generated three year return of -1.0% | |
| New York Bond keeps about 5.49% of its net assets in bonds |
Other Information on Investing in New Mutual Fund
New York financial ratios help investors to determine whether New 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 New with respect to the benefits of owning New York security.
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