Correlation Between Applied Finance and Aqr Large
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Aqr Large 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 Applied Finance and Aqr Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Finance Explorer and Aqr Large Cap, you can compare the effects of market volatilities on Applied Finance and Aqr Large 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 Applied Finance with a short position of Aqr Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Aqr Large.
Diversification Opportunities for Applied Finance and Aqr Large
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Applied and Aqr is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Aqr Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Large Cap and Applied Finance 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 Applied Finance Explorer are associated (or correlated) with Aqr Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Large Cap has no effect on the direction of Applied Finance i.e., Applied Finance and Aqr Large go up and down completely randomly.
Pair Corralation between Applied Finance and Aqr Large
Assuming the 90 days horizon Applied Finance is expected to generate 1.34 times less return on investment than Aqr Large. In addition to that, Applied Finance is 1.27 times more volatile than Aqr Large Cap. It trades about 0.14 of its total potential returns per unit of risk. Aqr Large Cap is currently generating about 0.23 per unit of volatility. If you would invest 2,264 in Aqr Large Cap on September 2, 2024 and sell it today you would earn a total of 317.00 from holding Aqr Large Cap or generate 14.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Finance Explorer vs. Aqr Large Cap
Performance |
Timeline |
Applied Finance Explorer |
Aqr Large Cap |
Applied Finance and Aqr Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Aqr Large
The main advantage of trading using opposite Applied Finance and Aqr Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Aqr Large 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 Aqr Large will offset losses from the drop in Aqr Large's long position.Applied Finance vs. Thrivent Small Cap | Applied Finance vs. Applied Finance Select | Applied Finance vs. Parnassus Endeavor Fund | Applied Finance vs. Queens Road Small |
Aqr Large vs. Aqr Long Short Equity | Aqr Large vs. Old Westbury Short Term | Aqr Large vs. Federated Ultrashort Bond | Aqr Large vs. Sterling Capital Short |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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