Correlation Between Franklin New and Aqr Long-short
Can any of the company-specific risk be diversified away by investing in both Franklin New and Aqr Long-short 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 New and Aqr Long-short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin New York and Aqr Long Short Equity, you can compare the effects of market volatilities on Franklin New and Aqr Long-short 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 New with a short position of Aqr Long-short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin New and Aqr Long-short.
Diversification Opportunities for Franklin New and Aqr Long-short
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and Aqr is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Franklin New York and Aqr Long Short Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Long Short and Franklin New 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 New York are associated (or correlated) with Aqr Long-short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Long Short has no effect on the direction of Franklin New i.e., Franklin New and Aqr Long-short go up and down completely randomly.
Pair Corralation between Franklin New and Aqr Long-short
Assuming the 90 days horizon Franklin New York is expected to generate 0.12 times more return on investment than Aqr Long-short. However, Franklin New York is 8.68 times less risky than Aqr Long-short. It trades about -0.33 of its potential returns per unit of risk. Aqr Long Short Equity is currently generating about -0.22 per unit of risk. If you would invest 1,087 in Franklin New York on October 6, 2024 and sell it today you would lose (14.00) from holding Franklin New York or give up 1.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin New York vs. Aqr Long Short Equity
Performance |
Timeline |
Franklin New York |
Aqr Long Short |
Franklin New and Aqr Long-short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin New and Aqr Long-short
The main advantage of trading using opposite Franklin New and Aqr Long-short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin New position performs unexpectedly, Aqr Long-short 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 Long-short will offset losses from the drop in Aqr Long-short's long position.Franklin New vs. Wells Fargo Diversified | Franklin New vs. Stone Ridge Diversified | Franklin New vs. Schwab Small Cap Index | Franklin New vs. Vy T Rowe |
Aqr Long-short vs. Aqr Large Cap | Aqr Long-short vs. Aqr Small Cap | Aqr Long-short vs. Aqr Small Cap | Aqr Long-short vs. Aqr Small Cap |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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