BNY Mellon (Germany) Probability of Future Fund Price Finishing Under 1.65
| FH7W Fund | EUR 1.65 0.00 0.00% |
BNY |
BNY Mellon Target Price Odds to finish below 1.65
The tendency of BNY 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 below current price in 90 days |
| 1.65 | 90 days | 1.65 | about 49.04 |
Based on a normal probability distribution, the odds of BNY Mellon to move below current price in 90 days from now is about 49.04 (This BNY Mellon Global probability density function shows the probability of BNY Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon BNY Mellon has a beta of 0.036. This usually indicates as returns on the market go up, BNY Mellon average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding BNY Mellon Global will be expected to be much smaller as well. Additionally BNY Mellon Global 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. BNY Mellon Price Density |
| Price |
Predictive Modules for BNY Mellon
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BNY Mellon Global. 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.BNY Mellon Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BNY Mellon is not an exception. The market had few large corrections towards the BNY Mellon'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 BNY Mellon Global, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BNY Mellon within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | 0.04 | |
σ | Overall volatility | 0.02 | |
Ir | Information ratio | -0.1 |
BNY Mellon 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 BNY Mellon for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for BNY Mellon Global can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| BNY Mellon Global may become a speculative penny stock |
BNY Mellon Technical Analysis
BNY Mellon's future price can be derived by breaking down and analyzing its technical indicators over time. BNY Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BNY Mellon Global. In general, you should focus on analyzing BNY Fund price patterns and their correlations with different microeconomic environments and drivers.
BNY Mellon Predictive Forecast Models
BNY Mellon's time-series forecasting models is one of many BNY Mellon'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 BNY Mellon'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.
Things to note about BNY Mellon Global
Checking the ongoing alerts about BNY Mellon for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for BNY Mellon Global help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| BNY Mellon Global may become a speculative penny stock |
Other Information on Investing in BNY Fund
BNY Mellon financial ratios help investors to determine whether BNY 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 BNY with respect to the benefits of owning BNY Mellon security.
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