The Arbitrage Credit Fund Probability of Future Mutual Fund Price Finishing Over 9.88
| ARCFX Fund | USD 9.80 0.00 0.00% |
Arbitrage |
Arbitrage Credit Target Price Odds to finish over 9.88
The tendency of Arbitrage 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 $ 9.88 or more in 90 days |
| 9.80 | 90 days | 9.88 | near 1 |
Based on a normal probability distribution, the odds of Arbitrage Credit to move over $ 9.88 or more in 90 days from now is near 1 (This The Arbitrage Credit probability density function shows the probability of Arbitrage Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Arbitrage Credit price to stay between its current price of $ 9.80 and $ 9.88 at the end of the 90-day period is about 10.2 .
Assuming the 90 days horizon The Arbitrage Credit has a beta of -0.0138. This suggests as returns on the benchmark increase, returns on holding Arbitrage Credit are expected to decrease at a much lower rate. During a bear market, however, The Arbitrage Credit is likely to outperform the market. Additionally The Arbitrage Credit has an alpha of 0.0072, implying that it can generate a 0.007242 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Arbitrage Credit Price Density |
| Price |
Predictive Modules for Arbitrage Credit
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Arbitrage Credit. 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.Arbitrage Credit Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Arbitrage Credit is not an exception. The market had few large corrections towards the Arbitrage Credit'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 The Arbitrage Credit, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Arbitrage Credit within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.01 | |
σ | Overall volatility | 0.03 | |
Ir | Information ratio | -1.3 |
Arbitrage Credit 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 Arbitrage Credit for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Arbitrage Credit 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 11.57% of its assets under management (AUM) in cash |
Arbitrage Credit Technical Analysis
Arbitrage Credit's future price can be derived by breaking down and analyzing its technical indicators over time. Arbitrage Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of The Arbitrage Credit. In general, you should focus on analyzing Arbitrage Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Arbitrage Credit Predictive Forecast Models
Arbitrage Credit's time-series forecasting models is one of many Arbitrage Credit'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 Arbitrage Credit'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 Arbitrage Credit
Checking the ongoing alerts about Arbitrage Credit for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Arbitrage Credit 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 11.57% of its assets under management (AUM) in cash |
Other Information on Investing in Arbitrage Mutual Fund
Arbitrage Credit financial ratios help investors to determine whether Arbitrage 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 Arbitrage with respect to the benefits of owning Arbitrage Credit security.
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