Correlation Between Science Technology and Franklin Income
Can any of the company-specific risk be diversified away by investing in both Science Technology and Franklin Income 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 Science Technology and Franklin Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Science Technology Fund and Franklin Income Fund, you can compare the effects of market volatilities on Science Technology and Franklin Income 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 Science Technology with a short position of Franklin Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Science Technology and Franklin Income.
Diversification Opportunities for Science Technology and Franklin Income
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Science and Franklin is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Science Technology Fund and Franklin Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Income and Science Technology 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 Science Technology Fund are associated (or correlated) with Franklin Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Income has no effect on the direction of Science Technology i.e., Science Technology and Franklin Income go up and down completely randomly.
Pair Corralation between Science Technology and Franklin Income
Assuming the 90 days horizon Science Technology Fund is expected to generate 3.7 times more return on investment than Franklin Income. However, Science Technology is 3.7 times more volatile than Franklin Income Fund. It trades about -0.06 of its potential returns per unit of risk. Franklin Income Fund is currently generating about -0.28 per unit of risk. If you would invest 3,185 in Science Technology Fund on October 8, 2024 and sell it today you would lose (58.00) from holding Science Technology Fund or give up 1.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Science Technology Fund vs. Franklin Income Fund
Performance |
Timeline |
Science Technology |
Franklin Income |
Science Technology and Franklin Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Science Technology and Franklin Income
The main advantage of trading using opposite Science Technology and Franklin Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Science Technology position performs unexpectedly, Franklin Income 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 Income will offset losses from the drop in Franklin Income's long position.Science Technology vs. Aggressive Growth Fund | Science Technology vs. Sp 500 Index | Science Technology vs. Nasdaq 100 Index Fund | Science Technology vs. International Fund International |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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