Correlation Between Guidemark(r) Large and Aqr Large
Can any of the company-specific risk be diversified away by investing in both Guidemark(r) Large 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 Guidemark(r) Large and Aqr Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidemark Large Cap and Aqr Large Cap, you can compare the effects of market volatilities on Guidemark(r) Large 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 Guidemark(r) Large with a short position of Aqr Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidemark(r) Large and Aqr Large.
Diversification Opportunities for Guidemark(r) Large and Aqr Large
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guidemark(r) and Aqr is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Guidemark Large Cap 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 Guidemark(r) Large 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 Guidemark Large Cap 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 Guidemark(r) Large i.e., Guidemark(r) Large and Aqr Large go up and down completely randomly.
Pair Corralation between Guidemark(r) Large and Aqr Large
Assuming the 90 days horizon Guidemark Large Cap is expected to generate 0.56 times more return on investment than Aqr Large. However, Guidemark Large Cap is 1.78 times less risky than Aqr Large. It trades about 0.02 of its potential returns per unit of risk. Aqr Large Cap is currently generating about -0.05 per unit of risk. If you would invest 3,320 in Guidemark Large Cap on October 23, 2024 and sell it today you would earn a total of 28.00 from holding Guidemark Large Cap or generate 0.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guidemark Large Cap vs. Aqr Large Cap
Performance |
Timeline |
Guidemark Large Cap |
Aqr Large Cap |
Guidemark(r) Large and Aqr Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidemark(r) Large and Aqr Large
The main advantage of trading using opposite Guidemark(r) Large and Aqr Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidemark(r) Large 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.The idea behind Guidemark Large Cap and Aqr Large Cap pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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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