Correlation Between Franklin High and Pace High
Can any of the company-specific risk be diversified away by investing in both Franklin High and Pace 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 Franklin High and Pace High 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 Pace High Yield, you can compare the effects of market volatilities on Franklin High and Pace 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 Franklin High with a short position of Pace High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin High and Pace High.
Diversification Opportunities for Franklin High and Pace High
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Pace is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Franklin High Yield and Pace High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pace High Yield 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 Pace High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pace High Yield has no effect on the direction of Franklin High i.e., Franklin High and Pace High go up and down completely randomly.
Pair Corralation between Franklin High and Pace High
Assuming the 90 days horizon Franklin High is expected to generate 2.66 times less return on investment than Pace High. In addition to that, Franklin High is 2.42 times more volatile than Pace High Yield. It trades about 0.05 of its total potential returns per unit of risk. Pace High Yield is currently generating about 0.32 per unit of volatility. If you would invest 881.00 in Pace High Yield on September 12, 2024 and sell it today you would earn a total of 21.00 from holding Pace High Yield or generate 2.38% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Franklin High Yield vs. Pace High Yield
Performance |
| Timeline |
| Franklin High Yield |
| Pace High Yield |
Franklin High and Pace High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Franklin High and Pace High
The main advantage of trading using opposite Franklin High and Pace High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin High position performs unexpectedly, Pace 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 Pace High will offset losses from the drop in Pace High's long position.| Franklin High vs. Franklin Mutual Beacon | Franklin High vs. Templeton Developing Markets | Franklin High vs. Franklin Mutual Global | Franklin High vs. Franklin Mutual Global |
| Pace High vs. Pace Smallmedium Value | Pace High vs. Pace International Equity | Pace High vs. Pace International Equity | Pace High vs. Ubs Allocation Fund |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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