PROVIDENT INC 725 Probability of Future Bond Price Finishing Under 106.90
| 743862AA2 | 107.94 0.00 0.00% |
PROVIDENT |
PROVIDENT Target Price Odds to finish below 106.90
The tendency of PROVIDENT Bond 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 106.90 or more in 90 days |
| 107.94 | 90 days | 106.90 | about 55.68 |
Based on a normal probability distribution, the odds of PROVIDENT to drop to 106.90 or more in 90 days from now is about 55.68 (This PROVIDENT INC 725 probability density function shows the probability of PROVIDENT Bond to fall within a particular range of prices over 90 days) . Probability of PROVIDENT INC 725 price to stay between 106.90 and its current price of 107.94 at the end of the 90-day period is about 36.2 .
Assuming the 90 days trading horizon PROVIDENT has a beta of 0.12. This usually implies as returns on the market go up, PROVIDENT average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding PROVIDENT INC 725 will be expected to be much smaller as well. Additionally PROVIDENT INC 725 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. PROVIDENT Price Density |
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Predictive Modules for PROVIDENT
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PROVIDENT INC 725. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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.PROVIDENT Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. PROVIDENT is not an exception. The market had few large corrections towards the PROVIDENT'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 PROVIDENT INC 725, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of PROVIDENT within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.009 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 0.79 | |
Ir | Information ratio | -0.07 |
PROVIDENT Technical Analysis
PROVIDENT's future price can be derived by breaking down and analyzing its technical indicators over time. PROVIDENT Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PROVIDENT INC 725. In general, you should focus on analyzing PROVIDENT Bond price patterns and their correlations with different microeconomic environments and drivers.
PROVIDENT Predictive Forecast Models
PROVIDENT's time-series forecasting models is one of many PROVIDENT's bond 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 PROVIDENT'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 bond 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 PROVIDENT 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, PROVIDENT's short interest history, or implied volatility extrapolated from PROVIDENT options trading.
Other Information on Investing in PROVIDENT Bond
PROVIDENT financial ratios help investors to determine whether PROVIDENT Bond 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 PROVIDENT with respect to the benefits of owning PROVIDENT security.