Correlation Between Spectrum Fund and Franklin Emerging
Can any of the company-specific risk be diversified away by investing in both Spectrum Fund 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 Spectrum Fund and Franklin Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spectrum Fund Adviser and Franklin Emerging Market, you can compare the effects of market volatilities on Spectrum Fund 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 Spectrum Fund with a short position of Franklin Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spectrum Fund and Franklin Emerging.
Diversification Opportunities for Spectrum Fund and Franklin Emerging
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Spectrum and FRANKLIN is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Spectrum Fund Adviser 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 Spectrum Fund 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 Spectrum Fund Adviser 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 Spectrum Fund i.e., Spectrum Fund and Franklin Emerging go up and down completely randomly.
Pair Corralation between Spectrum Fund and Franklin Emerging
Assuming the 90 days horizon Spectrum Fund is expected to generate 1.17 times less return on investment than Franklin Emerging. In addition to that, Spectrum Fund is 3.63 times more volatile than Franklin Emerging Market. It trades about 0.08 of its total potential returns per unit of risk. Franklin Emerging Market is currently generating about 0.36 per unit of volatility. If you would invest 1,153 in Franklin Emerging Market on October 25, 2024 and sell it today you would earn a total of 17.00 from holding Franklin Emerging Market or generate 1.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Spectrum Fund Adviser vs. Franklin Emerging Market
Performance |
Timeline |
Spectrum Fund Adviser |
Franklin Emerging Market |
Spectrum Fund and Franklin Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spectrum Fund and Franklin Emerging
The main advantage of trading using opposite Spectrum Fund and Franklin Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spectrum Fund 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.Spectrum Fund vs. Redwood Real Estate | Spectrum Fund vs. Simt Real Estate | Spectrum Fund vs. Sa Real Estate | Spectrum Fund vs. Nexpoint Real Estate |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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