Correlation Between NYSE Composite and Franklin High
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Franklin High 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 NYSE Composite and Franklin High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Franklin High Yield, you can compare the effects of market volatilities on NYSE Composite and Franklin High 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 NYSE Composite with a short position of Franklin High. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Franklin High.
Diversification Opportunities for NYSE Composite and Franklin High
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between NYSE and Franklin is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Franklin High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin High Yield and NYSE Composite 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 NYSE Composite are associated (or correlated) with Franklin High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin High Yield has no effect on the direction of NYSE Composite i.e., NYSE Composite and Franklin High go up and down completely randomly.
Pair Corralation between NYSE Composite and Franklin High
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.69 times more return on investment than Franklin High. However, NYSE Composite is 2.69 times more volatile than Franklin High Yield. It trades about 0.13 of its potential returns per unit of risk. Franklin High Yield is currently generating about 0.11 per unit of risk. If you would invest 1,691,113 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 330,923 from holding NYSE Composite or generate 19.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Franklin High Yield
Performance |
| Timeline |
NYSE Composite and Franklin High Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Franklin High Yield
Pair trading matchups for Franklin High
Pair Trading with NYSE Composite and Franklin High
The main advantage of trading using opposite NYSE Composite and Franklin High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Franklin High 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 Franklin High will offset losses from the drop in Franklin High's long position.| NYSE Composite vs. Vita Coco | NYSE Composite vs. Franklin Wireless Corp | NYSE Composite vs. Ambev SA ADR | NYSE Composite vs. Toro Co |
| Franklin High vs. Lgm Risk Managed | Franklin High vs. Franklin High Income | Franklin High vs. Artisan High Income | Franklin High vs. Goldman Sachs High |
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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