Aqr Long Short Equity Fund Probability of Future Mutual Fund Price Finishing Over 15.19
| QLENX Fund | USD 15.40 0.15 0.96% |
Aqr |
Aqr Long-short Target Price Odds to finish over 15.19
The tendency of Aqr 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 stay above $ 15.19 in 90 days |
| 15.40 | 90 days | 15.19 | about 19.15 |
Based on a normal probability distribution, the odds of Aqr Long-short to stay above $ 15.19 in 90 days from now is about 19.15 (This Aqr Long Short Equity probability density function shows the probability of Aqr Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Aqr Long Short price to stay between $ 15.19 and its current price of $15.4 at the end of the 90-day period is about 9.79 .
Assuming the 90 days horizon Aqr Long-short has a beta of 0.0224 indicating as returns on the market go up, Aqr Long-short average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Aqr Long Short Equity will be expected to be much smaller as well. Additionally Aqr Long Short Equity has an alpha of 0.1782, implying that it can generate a 0.18 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Aqr Long-short Price Density |
| Price |
Predictive Modules for Aqr Long-short
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aqr Long Short. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aqr Long-short'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.
Aqr Long-short Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Aqr Long-short is not an exception. The market had few large corrections towards the Aqr Long-short'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 Aqr Long Short Equity, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Aqr Long-short within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.18 | |
β | Beta against NYSE Composite | 0.02 | |
σ | Overall volatility | 0.47 | |
Ir | Information ratio | 0.39 |
Aqr Long-short 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 Aqr Long-short for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Aqr Long Short can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Aqr is showing solid risk-adjusted performance over 90 days | |
| The fund maintains about 33.58% of its assets in cash |
Aqr Long-short Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Aqr Mutual Fund often depends not only on the future outlook of the current and potential Aqr Long-short's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Aqr Long-short's indicators that are reflective of the short sentiment are summarized in the table below.
Aqr Long-short Technical Analysis
Aqr Long-short's future price can be derived by breaking down and analyzing its technical indicators over time. Aqr Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Aqr Long Short Equity. In general, you should focus on analyzing Aqr Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Aqr Long-short Predictive Forecast Models
Aqr Long-short's time-series forecasting models is one of many Aqr Long-short'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 Aqr Long-short'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.