Conestoga Mid Cap Fund Probability of Future Mutual Fund Price Finishing Under 9.7
CCMMX Fund | USD 10.11 0.01 0.1% |
Conestoga |
Conestoga Mid Target Price Odds to finish below 9.7
The tendency of Conestoga 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 drop to $ 9.70 or more in 90 days |
10.11 | 90 days | 9.70 | about 15.53 |
Based on a normal probability distribution, the odds of Conestoga Mid to drop to $ 9.70 or more in 90 days from now is about 15.53 (This Conestoga Mid Cap probability density function shows the probability of Conestoga Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Conestoga Mid Cap price to stay between $ 9.70 and its current price of $10.11 at the end of the 90-day period is about 71.78 .
Assuming the 90 days horizon Conestoga Mid has a beta of 0.8 suggesting as returns on the market go up, Conestoga Mid average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Conestoga Mid Cap will be expected to be much smaller as well. Additionally Conestoga Mid Cap 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. Conestoga Mid Price Density |
Price |
Predictive Modules for Conestoga Mid
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Conestoga Mid Cap. 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.Conestoga Mid Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Conestoga Mid is not an exception. The market had few large corrections towards the Conestoga Mid'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 Conestoga Mid Cap, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Conestoga Mid within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.80 | |
σ | Overall volatility | 0.19 | |
Ir | Information ratio | -0.07 |
Conestoga Mid 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 Conestoga Mid for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Conestoga Mid Cap can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.The fund holds 98.97% of its assets under management (AUM) in equities |
Conestoga Mid Technical Analysis
Conestoga Mid's future price can be derived by breaking down and analyzing its technical indicators over time. Conestoga Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Conestoga Mid Cap. In general, you should focus on analyzing Conestoga Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Conestoga Mid Predictive Forecast Models
Conestoga Mid's time-series forecasting models is one of many Conestoga Mid's 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 Conestoga Mid'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 mutual fund market movement and maximize returns from investment trading.
Things to note about Conestoga Mid Cap
Checking the ongoing alerts about Conestoga Mid for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Conestoga Mid Cap help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund holds 98.97% of its assets under management (AUM) in equities |
Other Information on Investing in Conestoga Mutual Fund
Conestoga Mid financial ratios help investors to determine whether Conestoga 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 Conestoga with respect to the benefits of owning Conestoga Mid security.
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |