Correlation Between Franklin Exponential and Main Sector
Can any of the company-specific risk be diversified away by investing in both Franklin Exponential and Main Sector 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 Exponential and Main Sector into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Exponential Data and Main Sector Rotation, you can compare the effects of market volatilities on Franklin Exponential and Main Sector 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 Exponential with a short position of Main Sector. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Exponential and Main Sector.
Diversification Opportunities for Franklin Exponential and Main Sector
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Franklin and Main is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Exponential Data and Main Sector Rotation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Main Sector Rotation and Franklin Exponential 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 Exponential Data are associated (or correlated) with Main Sector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Main Sector Rotation has no effect on the direction of Franklin Exponential i.e., Franklin Exponential and Main Sector go up and down completely randomly.
Pair Corralation between Franklin Exponential and Main Sector
Given the investment horizon of 90 days Franklin Exponential Data is expected to generate 1.2 times more return on investment than Main Sector. However, Franklin Exponential is 1.2 times more volatile than Main Sector Rotation. It trades about 0.32 of its potential returns per unit of risk. Main Sector Rotation is currently generating about 0.17 per unit of risk. If you would invest 2,450 in Franklin Exponential Data on August 29, 2024 and sell it today you would earn a total of 242.00 from holding Franklin Exponential Data or generate 9.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Franklin Exponential Data vs. Main Sector Rotation
Performance |
| Timeline |
| Franklin Exponential Data |
| Main Sector Rotation |
Franklin Exponential and Main Sector Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Franklin Exponential and Main Sector
The main advantage of trading using opposite Franklin Exponential and Main Sector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Exponential position performs unexpectedly, Main Sector 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 Main Sector will offset losses from the drop in Main Sector's long position.| Franklin Exponential vs. Franklin Disruptive Commerce | Franklin Exponential vs. Franklin Templeton ETF | Franklin Exponential vs. Esoterica NextG Economy | Franklin Exponential vs. TrueShares Technology AI |
| Main Sector vs. Main Thematic Innovation | Main Sector vs. SPDR SSGA Sector | Main Sector vs. iShares MSCI USA | Main Sector vs. SPDR MSCI USA |
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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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