Correlation Between Guggenheim High and Franklin Emerging
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Franklin Emerging 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 Guggenheim High and Franklin Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Franklin Emerging Market, you can compare the effects of market volatilities on Guggenheim High and Franklin Emerging 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 Guggenheim High with a short position of Franklin Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Franklin Emerging.
Diversification Opportunities for Guggenheim High and Franklin Emerging
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Guggenheim and Franklin is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Franklin Emerging Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Emerging Market and Guggenheim 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 Guggenheim High Yield are associated (or correlated) with Franklin Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Emerging Market has no effect on the direction of Guggenheim High i.e., Guggenheim High and Franklin Emerging go up and down completely randomly.
Pair Corralation between Guggenheim High and Franklin Emerging
Assuming the 90 days horizon Guggenheim High is expected to generate 2.18 times less return on investment than Franklin Emerging. But when comparing it to its historical volatility, Guggenheim High Yield is 1.03 times less risky than Franklin Emerging. It trades about 0.11 of its potential returns per unit of risk. Franklin Emerging Market is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,153 in Franklin Emerging Market on December 24, 2024 and sell it today you would earn a total of 32.00 from holding Franklin Emerging Market or generate 2.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Franklin Emerging Market
Performance |
Timeline |
Guggenheim High Yield |
Franklin Emerging Market |
Guggenheim High and Franklin Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Franklin Emerging
The main advantage of trading using opposite Guggenheim High and Franklin Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Franklin Emerging 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 Emerging will offset losses from the drop in Franklin Emerging's long position.Guggenheim High vs. T Rowe Price | Guggenheim High vs. Us Government Securities | Guggenheim High vs. Us Government Securities | Guggenheim High vs. Ab Impact Municipal |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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