SBI Mutual (India) Probability of Future Etf Price Finishing Under 252.37
| SBIETFPB | 261.12 1.15 0.44% |
SBI |
SBI Mutual Target Price Odds to finish below 252.37
The tendency of SBI 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 252.37 or more in 90 days |
| 261.12 | 90 days | 252.37 | about 9.14 |
Based on a normal probability distribution, the odds of SBI Mutual to drop to 252.37 or more in 90 days from now is about 9.14 (This SBI Mutual Fund probability density function shows the probability of SBI Etf to fall within a particular range of prices over 90 days) . Probability of SBI Mutual Fund price to stay between 252.37 and its current price of 261.12 at the end of the 90-day period is about 41.84 .
Assuming the 90 days trading horizon SBI Mutual has a beta of 0.38. This usually implies as returns on the market go up, SBI Mutual average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SBI Mutual Fund will be expected to be much smaller as well. Additionally SBI Mutual Fund 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. SBI Mutual Price Density |
| Price |
Predictive Modules for SBI Mutual
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SBI Mutual Fund. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SBI Mutual's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SBI Mutual Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SBI Mutual is not an exception. The market had few large corrections towards the SBI Mutual'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 SBI Mutual Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SBI Mutual within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | 0.38 | |
σ | Overall volatility | 6.48 | |
Ir | Information ratio | -0.12 |
SBI Mutual 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 SBI Mutual for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SBI Mutual Fund can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| SBI Mutual Fund generated a negative expected return over the last 90 days |
SBI Mutual Technical Analysis
SBI Mutual's future price can be derived by breaking down and analyzing its technical indicators over time. SBI Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SBI Mutual Fund. In general, you should focus on analyzing SBI Etf price patterns and their correlations with different microeconomic environments and drivers.
SBI Mutual Predictive Forecast Models
SBI Mutual's time-series forecasting models is one of many SBI Mutual'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 SBI Mutual'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.
Things to note about SBI Mutual Fund
Checking the ongoing alerts about SBI Mutual for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SBI Mutual Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| SBI Mutual Fund generated a negative expected return over the last 90 days |