FNB ETN (South Africa) Odds of Future Etf Price Finishing Under 2351.0
| JPETNQ Etf | 2,657 9.00 0.34% |
FNB |
FNB ETN Target Price Odds to finish below 2351.0
The tendency of FNB Etf 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 drop to 2,351 or more in 90 days |
| 2,657 | 90 days | 2,351 | about 72.72 |
Based on a normal probability distribution, the odds of FNB ETN to drop to 2,351 or more in 90 days from now is about 72.72 (This FNB ETN JPMORGQ probability density function shows the probability of FNB Etf to fall within a particular range of prices over 90 days) . Probability of FNB ETN JPMORGQ price to stay between 2,351 and its current price of 2657.0 at the end of the 90-day period is about 26.73 .
Assuming the 90 days trading horizon FNB ETN JPMORGQ has a beta of -0.26. This indicates as returns on the benchmark increase, returns on holding FNB ETN are expected to decrease at a much lower rate. During a bear market, however, FNB ETN JPMORGQ is likely to outperform the market. Additionally FNB ETN JPMORGQ has an alpha of 0.412, implying that it can generate a 0.41 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). FNB ETN Price Density |
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Predictive Modules for FNB ETN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FNB ETN JPMORGQ. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.FNB ETN Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. FNB ETN is not an exception. The market had few large corrections towards the FNB ETN'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 FNB ETN JPMORGQ, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of FNB ETN within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.41 | |
β | Beta against Dow Jones | -0.26 | |
σ | Overall volatility | 149.03 | |
Ir | Information ratio | 0.14 |
FNB ETN Technical Analysis
FNB ETN's future price can be derived by breaking down and analyzing its technical indicators over time. FNB Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of FNB ETN JPMORGQ. In general, you should focus on analyzing FNB Etf price patterns and their correlations with different microeconomic environments and drivers.
FNB ETN Predictive Forecast Models
FNB ETN's time-series forecasting models is one of many FNB ETN's etf 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 FNB ETN'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 etf 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 FNB ETN 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, FNB ETN's short interest history, or implied volatility extrapolated from FNB ETN options trading.
Other Information on Investing in FNB Etf
FNB ETN financial ratios help investors to determine whether FNB Etf 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 FNB with respect to the benefits of owning FNB ETN security.