Correlation Between Franklin High and Guggenheim Managed
Can any of the company-specific risk be diversified away by investing in both Franklin High and Guggenheim Managed 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 Guggenheim Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin High Yield and Guggenheim Managed Futures, you can compare the effects of market volatilities on Franklin High and Guggenheim Managed 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 Guggenheim Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Guggenheim Managed.
Diversification Opportunities for Franklin High and Guggenheim Managed
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Guggenheim is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield and Guggenheim Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Managed 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 Yield are associated (or correlated) with Guggenheim Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Managed has no effect on the direction of Franklin High i.e., Franklin High and Guggenheim Managed go up and down completely randomly.
Pair Corralation between Franklin High and Guggenheim Managed
Assuming the 90 days horizon Franklin High Yield is expected to generate 0.4 times more return on investment than Guggenheim Managed. However, Franklin High Yield is 2.5 times less risky than Guggenheim Managed. It trades about -0.06 of its potential returns per unit of risk. Guggenheim Managed Futures is currently generating about -0.07 per unit of risk. If you would invest 908.00 in Franklin High Yield on September 22, 2024 and sell it today you would lose (12.00) from holding Franklin High Yield or give up 1.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin High Yield vs. Guggenheim Managed Futures
Performance |
Timeline |
Franklin High Yield |
Guggenheim Managed |
Franklin High and Guggenheim Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin High and Guggenheim Managed
The main advantage of trading using opposite Franklin High and Guggenheim Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Guggenheim Managed 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 Guggenheim Managed will offset losses from the drop in Guggenheim Managed's long position.Franklin High vs. Shelton Emerging Markets | Franklin High vs. Pnc Emerging Markets | Franklin High vs. Rbc Emerging Markets | Franklin High vs. Siit Emerging Markets |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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