Correlation Between Aqr Managed and Icon Financial
Can any of the company-specific risk be diversified away by investing in both Aqr Managed and Icon Financial at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Aqr Managed and Icon Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aqr Managed Futures and Icon Financial Fund, you can compare the effects of market volatilities on Aqr Managed and Icon Financial and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Aqr Managed with a short position of Icon Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aqr Managed and Icon Financial.
Diversification Opportunities for Aqr Managed and Icon Financial
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aqr and Icon is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Aqr Managed Futures and Icon Financial Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Icon Financial and Aqr Managed is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Aqr Managed Futures are associated (or correlated) with Icon Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Icon Financial has no effect on the direction of Aqr Managed i.e., Aqr Managed and Icon Financial go up and down completely randomly.
Pair Corralation between Aqr Managed and Icon Financial
Assuming the 90 days horizon Aqr Managed Futures is expected to generate 0.52 times more return on investment than Icon Financial. However, Aqr Managed Futures is 1.91 times less risky than Icon Financial. It trades about 0.03 of its potential returns per unit of risk. Icon Financial Fund is currently generating about 0.01 per unit of risk. If you would invest 802.00 in Aqr Managed Futures on August 31, 2024 and sell it today you would earn a total of 55.00 from holding Aqr Managed Futures or generate 6.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aqr Managed Futures vs. Icon Financial Fund
Performance |
| Timeline |
| Aqr Managed Futures |
| Icon Financial |
Aqr Managed and Icon Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aqr Managed and Icon Financial
The main advantage of trading using opposite Aqr Managed and Icon Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aqr Managed position performs unexpectedly, Icon Financial can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Icon Financial will offset losses from the drop in Icon Financial's long position.| Aqr Managed vs. Aqr Managed Futures | Aqr Managed vs. Pimco Trends Managed | Aqr Managed vs. Pimco Trends Managed | Aqr Managed vs. American Beacon Ahl |
| Icon Financial vs. Vanguard Financials Index | Icon Financial vs. Regional Bank Fund | Icon Financial vs. Financial Industries Fund | Icon Financial vs. T Rowe Price |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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