Correlation Between Franklin High and Fidelity Asset
Can any of the company-specific risk be diversified away by investing in both Franklin High and Fidelity Asset 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 Fidelity Asset 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 Fidelity Asset Manager, you can compare the effects of market volatilities on Franklin High and Fidelity Asset 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 Fidelity Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Fidelity Asset.
Diversification Opportunities for Franklin High and Fidelity Asset
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Fidelity is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Income and Fidelity Asset Manager in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Asset Manager 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 Fidelity Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Asset Manager has no effect on the direction of Franklin High i.e., Franklin High and Fidelity Asset go up and down completely randomly.
Pair Corralation between Franklin High and Fidelity Asset
Assuming the 90 days horizon Franklin High is expected to generate 1.26 times less return on investment than Fidelity Asset. But when comparing it to its historical volatility, Franklin High Income is 1.06 times less risky than Fidelity Asset. It trades about 0.04 of its potential returns per unit of risk. Fidelity Asset Manager is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,382 in Fidelity Asset Manager on September 13, 2024 and sell it today you would earn a total of 10.00 from holding Fidelity Asset Manager or generate 0.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin High Income vs. Fidelity Asset Manager
Performance |
Timeline |
Franklin High Income |
Fidelity Asset Manager |
Franklin High and Fidelity Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Fidelity Asset
The main advantage of trading using opposite Franklin High and Fidelity Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Fidelity Asset 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 Fidelity Asset will offset losses from the drop in Fidelity Asset's long position.Franklin High vs. Dodge Cox Stock | Franklin High vs. Fm Investments Large | Franklin High vs. T Rowe Price | Franklin High vs. Old Westbury Large |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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