Correlation Between MicroSectors FANG and Franklin FTSE
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and Franklin FTSE 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 MicroSectors FANG and Franklin FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors FANG Index and Franklin FTSE India, you can compare the effects of market volatilities on MicroSectors FANG and Franklin FTSE 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 MicroSectors FANG with a short position of Franklin FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and Franklin FTSE.
Diversification Opportunities for MicroSectors FANG and Franklin FTSE
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between MicroSectors and Franklin is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and Franklin FTSE India in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin FTSE India and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with Franklin FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin FTSE India has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and Franklin FTSE go up and down completely randomly.
Pair Corralation between MicroSectors FANG and Franklin FTSE
Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the Franklin FTSE. In addition to that, MicroSectors FANG is 5.96 times more volatile than Franklin FTSE India. It trades about -0.09 of its total potential returns per unit of risk. Franklin FTSE India is currently generating about -0.04 per unit of volatility. If you would invest 3,775 in Franklin FTSE India on December 30, 2024 and sell it today you would lose (106.00) from holding Franklin FTSE India or give up 2.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 88.71% |
Values | Daily Returns |
MicroSectors FANG Index vs. Franklin FTSE India
Performance |
Timeline |
MicroSectors FANG Index |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Franklin FTSE India |
MicroSectors FANG and Franklin FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and Franklin FTSE
The main advantage of trading using opposite MicroSectors FANG and Franklin FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, Franklin FTSE 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 FTSE will offset losses from the drop in Franklin FTSE's long position.MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. MicroSectors Solactive FANG | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Technology |
Franklin FTSE vs. Franklin FTSE Brazil | Franklin FTSE vs. Franklin FTSE China | Franklin FTSE vs. Franklin FTSE South | Franklin FTSE vs. Franklin FTSE Japan |
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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