Correlation Between Franklin Small and Aqr Small
Can any of the company-specific risk be diversified away by investing in both Franklin Small and Aqr Small 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 Franklin Small and Aqr Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Small Cap and Aqr Small Cap, you can compare the effects of market volatilities on Franklin Small and Aqr Small 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 Franklin Small with a short position of Aqr Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Small and Aqr Small.
Diversification Opportunities for Franklin Small and Aqr Small
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Franklin and Aqr is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Small Cap and Aqr Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Small Cap and Franklin Small 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 Franklin Small Cap are associated (or correlated) with Aqr Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Small Cap has no effect on the direction of Franklin Small i.e., Franklin Small and Aqr Small go up and down completely randomly.
Pair Corralation between Franklin Small and Aqr Small
Assuming the 90 days horizon Franklin Small is expected to generate 8.07 times less return on investment than Aqr Small. But when comparing it to its historical volatility, Franklin Small Cap is 1.07 times less risky than Aqr Small. It trades about 0.02 of its potential returns per unit of risk. Aqr Small Cap is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,000 in Aqr Small Cap on September 17, 2024 and sell it today you would earn a total of 42.00 from holding Aqr Small Cap or generate 2.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Small Cap vs. Aqr Small Cap
Performance |
Timeline |
Franklin Small Cap |
Aqr Small Cap |
Franklin Small and Aqr Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Small and Aqr Small
The main advantage of trading using opposite Franklin Small and Aqr Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Small position performs unexpectedly, Aqr Small 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 Small will offset losses from the drop in Aqr Small's long position.Franklin Small vs. Franklin Mutual Beacon | Franklin Small vs. Templeton Developing Markets | Franklin Small vs. Franklin Mutual Global | Franklin Small vs. Franklin Mutual Global |
Aqr Small vs. Aqr Large Cap | Aqr Small vs. Aqr Large Cap | Aqr Small vs. Aqr International Defensive | Aqr Small vs. Aqr International Defensive |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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