Correlation Between Franklin High and Aqr Risk-balanced
Can any of the company-specific risk be diversified away by investing in both Franklin High and Aqr Risk-balanced 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 High and Aqr Risk-balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin High Income and Aqr Risk Balanced Modities, you can compare the effects of market volatilities on Franklin High and Aqr Risk-balanced 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 High with a short position of Aqr Risk-balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Aqr Risk-balanced.
Diversification Opportunities for Franklin High and Aqr Risk-balanced
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Aqr is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Income and Aqr Risk Balanced Modities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aqr Risk Balanced and Franklin High 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 High Income are associated (or correlated) with Aqr Risk-balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aqr Risk Balanced has no effect on the direction of Franklin High i.e., Franklin High and Aqr Risk-balanced go up and down completely randomly.
Pair Corralation between Franklin High and Aqr Risk-balanced
Assuming the 90 days horizon Franklin High Income is expected to generate 0.3 times more return on investment than Aqr Risk-balanced. However, Franklin High Income is 3.31 times less risky than Aqr Risk-balanced. It trades about 0.0 of its potential returns per unit of risk. Aqr Risk Balanced Modities is currently generating about -0.07 per unit of risk. If you would invest 176.00 in Franklin High Income on September 3, 2024 and sell it today you would earn a total of 0.00 from holding Franklin High Income or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Franklin High Income vs. Aqr Risk Balanced Modities
Performance |
| Timeline |
| Franklin High Income |
| Aqr Risk Balanced |
Franklin High and Aqr Risk-balanced Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Franklin High and Aqr Risk-balanced
The main advantage of trading using opposite Franklin High and Aqr Risk-balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Aqr Risk-balanced 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 Risk-balanced will offset losses from the drop in Aqr Risk-balanced's long position.| Franklin High vs. Vanguard High Yield Corporate | Franklin High vs. Vanguard High Yield Porate | Franklin High vs. Blackrock Hi Yld | Franklin High vs. Blackrock High Yield |
| Aqr Risk-balanced vs. Prudential Government Money | Aqr Risk-balanced vs. Schwab Treasury Money | Aqr Risk-balanced vs. First American Funds | Aqr Risk-balanced vs. Rbc Funds Trust |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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