Correlation Between Franklin Mutual and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Franklin Mutual and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs Technology, you can compare the effects of market volatilities on Franklin Mutual and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Mutual and Goldman Sachs.
Diversification Opportunities for Franklin Mutual and Goldman Sachs
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Franklin and Goldman is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Mutual Global and Goldman Sachs Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Technology 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Technology has no effect on the direction of Franklin Mutual i.e., Franklin Mutual and Goldman Sachs go up and down completely randomly.
Pair Corralation between Franklin Mutual and Goldman Sachs
Assuming the 90 days horizon Franklin Mutual Global is expected to under-perform the Goldman Sachs. In addition to that, Franklin Mutual is 1.15 times more volatile than Goldman Sachs Technology. It trades about -0.32 of its total potential returns per unit of risk. Goldman Sachs Technology is currently generating about -0.06 per unit of volatility. If you would invest 3,703 in Goldman Sachs Technology on October 9, 2024 and sell it today you would lose (93.00) from holding Goldman Sachs Technology or give up 2.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Mutual Global vs. Goldman Sachs Technology
Performance |
Timeline |
Franklin Mutual Global |
Goldman Sachs Technology |
Franklin Mutual and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Mutual and Goldman Sachs
The main advantage of trading using opposite Franklin Mutual and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Mutual position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Franklin Mutual vs. Dws Government Money | Franklin Mutual vs. Leader Short Term Bond | Franklin Mutual vs. Versatile Bond Portfolio | Franklin Mutual vs. Pace Municipal Fixed |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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