Aqr Long Short Equity Fund Market Value

QLERX Fund  USD 16.87  0.03  0.18%   
Aqr Long-short's market value is the price at which a share of Aqr Long-short trades on a public exchange. It measures the collective expectations of Aqr Long Short Equity investors about its performance. Aqr Long-short is trading at 16.87 as of the 30th of January 2025; that is 0.18% down since the beginning of the trading day. The fund's open price was 16.9.
With this module, you can estimate the performance of a buy and hold strategy of Aqr Long Short Equity and determine expected loss or profit from investing in Aqr Long-short over a given investment horizon. Check out Aqr Long-short Correlation, Aqr Long-short Volatility and Aqr Long-short Alpha and Beta module to complement your research on Aqr Long-short.
Symbol

Please note, there is a significant difference between Aqr Long-short's value and its price as these two are different measures arrived at by different means. Investors typically determine if Aqr Long-short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Aqr Long-short's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Aqr Long-short 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Aqr Long-short's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Aqr Long-short.
0.00
11/01/2024
No Change 0.00  0.0 
In 3 months and 1 day
01/30/2025
0.00
If you would invest  0.00  in Aqr Long-short on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Aqr Long Short Equity or generate 0.0% return on investment in Aqr Long-short over 90 days. Aqr Long-short is related to or competes with Kinetics Global, Morningstar Global, Us Global, Barings Global, Ms Global, Investec Global, and Gmo Global. Under normal market conditions, the fund pursues its investment objective by investing at least 80 percent of its net as... More

Aqr Long-short Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Aqr Long-short's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Aqr Long Short Equity upside and downside potential and time the market with a certain degree of confidence.

Aqr Long-short Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Aqr Long-short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aqr Long-short's standard deviation. In reality, there are many statistical measures that can use Aqr Long-short historical prices to predict the future Aqr Long-short's volatility.
Hype
Prediction
LowEstimatedHigh
16.3516.8717.39
Details
Intrinsic
Valuation
LowRealHigh
16.1516.6717.19
Details
Naive
Forecast
LowNextHigh
16.5017.0217.54
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
15.9816.4516.93
Details

Aqr Long Short Backtested Returns

At this stage we consider Aqr Mutual Fund to be very steady. Aqr Long Short secures Sharpe Ratio (or Efficiency) of 0.31, which signifies that the fund had a 0.31 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Aqr Long Short Equity, which you can use to evaluate the volatility of the entity. Please confirm Aqr Long-short's Risk Adjusted Performance of 0.2625, mean deviation of 0.4121, and Coefficient Of Variation of 310.81 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund shows a Beta (market volatility) of -0.0538, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Aqr Long-short are expected to decrease at a much lower rate. During the bear market, Aqr Long-short is likely to outperform the market.

Auto-correlation

    
  0.79  

Good predictability

Aqr Long Short Equity has good predictability. Overlapping area represents the amount of predictability between Aqr Long-short time series from 1st of November 2024 to 16th of December 2024 and 16th of December 2024 to 30th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Aqr Long Short price movement. The serial correlation of 0.79 indicates that around 79.0% of current Aqr Long-short price fluctuation can be explain by its past prices.
Correlation Coefficient0.79
Spearman Rank Test0.86
Residual Average0.0
Price Variance0.06

Aqr Long Short lagged returns against current returns

Autocorrelation, which is Aqr Long-short mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Aqr Long-short's mutual fund expected returns. We can calculate the autocorrelation of Aqr Long-short returns to help us make a trade decision. For example, suppose you find that Aqr Long-short has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Aqr Long-short regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Aqr Long-short mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aqr Long-short mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aqr Long-short mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Aqr Long-short Lagged Returns

When evaluating Aqr Long-short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aqr Long-short mutual fund have on its future price. Aqr Long-short autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Aqr Long-short autocorrelation shows the relationship between Aqr Long-short mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Aqr Long Short Equity.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Aqr Mutual Fund

Aqr Long-short financial ratios help investors to determine whether Aqr 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 Aqr with respect to the benefits of owning Aqr Long-short security.
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
FinTech Suite
Use AI to screen and filter profitable investment opportunities