Correlation Between Franklin High and Aam/bahl Gaynor
Can any of the company-specific risk be diversified away by investing in both Franklin High and Aam/bahl Gaynor 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 Aam/bahl Gaynor 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 Aambahl Gaynor Income, you can compare the effects of market volatilities on Franklin High and Aam/bahl Gaynor 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 Aam/bahl Gaynor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Aam/bahl Gaynor.
Diversification Opportunities for Franklin High and Aam/bahl Gaynor
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Aam/bahl is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Income and Aambahl Gaynor Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aambahl Gaynor Income 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 Aam/bahl Gaynor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aambahl Gaynor Income has no effect on the direction of Franklin High i.e., Franklin High and Aam/bahl Gaynor go up and down completely randomly.
Pair Corralation between Franklin High and Aam/bahl Gaynor
Assuming the 90 days horizon Franklin High is expected to generate 5.59 times less return on investment than Aam/bahl Gaynor. But when comparing it to its historical volatility, Franklin High Income is 2.29 times less risky than Aam/bahl Gaynor. It trades about 0.1 of its potential returns per unit of risk. Aambahl Gaynor Income is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 2,599 in Aambahl Gaynor Income on September 2, 2024 and sell it today you would earn a total of 84.00 from holding Aambahl Gaynor Income or generate 3.23% 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. Aambahl Gaynor Income
Performance |
Timeline |
Franklin High Income |
Aambahl Gaynor Income |
Franklin High and Aam/bahl Gaynor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Aam/bahl Gaynor
The main advantage of trading using opposite Franklin High and Aam/bahl Gaynor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Aam/bahl Gaynor 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 Aam/bahl Gaynor will offset losses from the drop in Aam/bahl Gaynor's long position.Franklin High vs. Balanced Fund Retail | Franklin High vs. Rbc Global Equity | Franklin High vs. Huber Capital Equity | Franklin High vs. Artisan Select Equity |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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