Correlation Between Franklin FTSE and KraneShares Bosera
Can any of the company-specific risk be diversified away by investing in both Franklin FTSE and KraneShares Bosera 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 FTSE and KraneShares Bosera into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin FTSE South and KraneShares Bosera MSCI, you can compare the effects of market volatilities on Franklin FTSE and KraneShares Bosera 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 FTSE with a short position of KraneShares Bosera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin FTSE and KraneShares Bosera.
Diversification Opportunities for Franklin FTSE and KraneShares Bosera
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and KraneShares is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Franklin FTSE South and KraneShares Bosera MSCI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KraneShares Bosera MSCI and Franklin FTSE 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 FTSE South are associated (or correlated) with KraneShares Bosera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KraneShares Bosera MSCI has no effect on the direction of Franklin FTSE i.e., Franklin FTSE and KraneShares Bosera go up and down completely randomly.
Pair Corralation between Franklin FTSE and KraneShares Bosera
Given the investment horizon of 90 days Franklin FTSE South is expected to generate 1.27 times more return on investment than KraneShares Bosera. However, Franklin FTSE is 1.27 times more volatile than KraneShares Bosera MSCI. It trades about 0.08 of its potential returns per unit of risk. KraneShares Bosera MSCI is currently generating about -0.01 per unit of risk. If you would invest 1,752 in Franklin FTSE South on December 30, 2024 and sell it today you would earn a total of 113.00 from holding Franklin FTSE South or generate 6.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin FTSE South vs. KraneShares Bosera MSCI
Performance |
Timeline |
Franklin FTSE South |
KraneShares Bosera MSCI |
Franklin FTSE and KraneShares Bosera Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin FTSE and KraneShares Bosera
The main advantage of trading using opposite Franklin FTSE and KraneShares Bosera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin FTSE position performs unexpectedly, KraneShares Bosera 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 KraneShares Bosera will offset losses from the drop in KraneShares Bosera's long position.Franklin FTSE vs. Franklin FTSE Japan | Franklin FTSE vs. Franklin FTSE Taiwan | Franklin FTSE vs. Franklin FTSE China | Franklin FTSE vs. Franklin FTSE Brazil |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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