Credit Suisse Floating Fund Probability of Future Mutual Fund Price Finishing Over 6.35
| CSHIX Fund | USD 6.34 0.01 0.16% |
Credit |
Credit Suisse Target Price Odds to finish over 6.35
The tendency of Credit 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 over $ 6.35 or more in 90 days |
| 6.34 | 90 days | 6.35 | about 6.83 |
Based on a normal probability distribution, the odds of Credit Suisse to move over $ 6.35 or more in 90 days from now is about 6.83 (This Credit Suisse Floating probability density function shows the probability of Credit Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Credit Suisse Floating price to stay between its current price of $ 6.34 and $ 6.35 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Credit Suisse Floating has a beta of -0.0535 suggesting as returns on the benchmark increase, returns on holding Credit Suisse are expected to decrease at a much lower rate. During a bear market, however, Credit Suisse Floating is likely to outperform the market. Additionally Credit Suisse Floating has an alpha of 0.0215, implying that it can generate a 0.0215 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Credit Suisse Price Density |
| Price |
Predictive Modules for Credit Suisse
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Credit Suisse Floating. 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.Credit Suisse Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Credit Suisse is not an exception. The market had few large corrections towards the Credit Suisse'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 Credit Suisse Floating, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Credit Suisse within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | -0.05 | |
σ | Overall volatility | 0.04 | |
Ir | Information ratio | -0.44 |
Credit Suisse 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 Credit Suisse for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Credit Suisse Floating 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 about 7.85% of its assets under management (AUM) in cash |
Credit Suisse Technical Analysis
Credit Suisse's future price can be derived by breaking down and analyzing its technical indicators over time. Credit Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Credit Suisse Floating. In general, you should focus on analyzing Credit Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Credit Suisse Predictive Forecast Models
Credit Suisse's time-series forecasting models is one of many Credit Suisse'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 Credit Suisse'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 Credit Suisse Floating
Checking the ongoing alerts about Credit Suisse for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Credit Suisse Floating 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 about 7.85% of its assets under management (AUM) in cash |
Other Information on Investing in Credit Mutual Fund
Credit Suisse financial ratios help investors to determine whether Credit 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 Credit with respect to the benefits of owning Credit Suisse security.
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