Correlation Between Franklin Mutual and Stone Ridge
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Stone Ridge 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 Mutual and Stone Ridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Mutual Global and Stone Ridge Diversified, you can compare the effects of market volatilities on Franklin Mutual and Stone Ridge 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 Mutual with a short position of Stone Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Stone Ridge.
Diversification Opportunities for Franklin Mutual and Stone Ridge
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Franklin and Stone is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Global and Stone Ridge Diversified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stone Ridge Diversified and Franklin Mutual 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 Mutual Global are associated (or correlated) with Stone Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stone Ridge Diversified has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Stone Ridge go up and down completely randomly.
Pair Corralation between Franklin Mutual and Stone Ridge
Assuming the 90 days horizon Franklin Mutual Global is expected to under-perform the Stone Ridge. In addition to that, Franklin Mutual is 9.7 times more volatile than Stone Ridge Diversified. It trades about -0.33 of its total potential returns per unit of risk. Stone Ridge Diversified is currently generating about 0.38 per unit of volatility. If you would invest 1,049 in Stone Ridge Diversified on October 3, 2024 and sell it today you would earn a total of 17.00 from holding Stone Ridge Diversified or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Mutual Global vs. Stone Ridge Diversified
Performance |
Timeline |
Franklin Mutual Global |
Stone Ridge Diversified |
Franklin Mutual and Stone Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Stone Ridge
The main advantage of trading using opposite Franklin Mutual and Stone Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Stone Ridge 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 Stone Ridge will offset losses from the drop in Stone Ridge's long position.Franklin Mutual vs. Short Term Government Fund | Franklin Mutual vs. Baird Strategic Municipal | Franklin Mutual vs. Oklahoma Municipal Fund | Franklin Mutual vs. The Hartford 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 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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