Consumer Goods Ultrasector Fund Probability of Future Mutual Fund Price Finishing Over 81.17
| CNPIX Fund | USD 81.17 0.55 0.68% |
Consumer |
Consumer Goods Target Price Odds to finish over 81.17
The tendency of Consumer 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 above the current price in 90 days |
| 81.17 | 90 days | 81.17 | about 19.57 |
Based on a normal probability distribution, the odds of Consumer Goods to move above the current price in 90 days from now is about 19.57 (This Consumer Goods Ultrasector probability density function shows the probability of Consumer Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Consumer Goods has a beta of 0.17 suggesting as returns on the market go up, Consumer Goods average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Consumer Goods Ultrasector will be expected to be much smaller as well. Additionally Consumer Goods Ultrasector 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. Consumer Goods Price Density |
| Price |
Predictive Modules for Consumer Goods
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Consumer Goods Ultra. 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.Consumer Goods Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Consumer Goods is not an exception. The market had few large corrections towards the Consumer Goods' 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 Consumer Goods Ultrasector, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Consumer Goods within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | 0.17 | |
σ | Overall volatility | 1.75 | |
Ir | Information ratio | -0.13 |
Consumer Goods 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 Consumer Goods for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Consumer Goods Ultra can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Consumer Goods Ultra generated a negative expected return over the last 90 days | |
| The fund generated three year return of -8.0% | |
| Consumer Goods Ultra holds about 30.08% of its assets under management (AUM) in cash |
Consumer Goods Technical Analysis
Consumer Goods' future price can be derived by breaking down and analyzing its technical indicators over time. Consumer Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Consumer Goods Ultrasector. In general, you should focus on analyzing Consumer Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Consumer Goods Predictive Forecast Models
Consumer Goods' time-series forecasting models is one of many Consumer Goods' 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 Consumer Goods' 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 Consumer Goods Ultra
Checking the ongoing alerts about Consumer Goods for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Consumer Goods Ultra help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Consumer Goods Ultra generated a negative expected return over the last 90 days | |
| The fund generated three year return of -8.0% | |
| Consumer Goods Ultra holds about 30.08% of its assets under management (AUM) in cash |
Other Information on Investing in Consumer Mutual Fund
Consumer Goods financial ratios help investors to determine whether Consumer 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 Consumer with respect to the benefits of owning Consumer Goods security.
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