Correlation Between Franklin FTSE and IShares Latin
Can any of the company-specific risk be diversified away by investing in both Franklin FTSE and IShares Latin 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 IShares Latin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin FTSE India and iShares Latin America, you can compare the effects of market volatilities on Franklin FTSE and IShares Latin 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 IShares Latin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin FTSE and IShares Latin.
Diversification Opportunities for Franklin FTSE and IShares Latin
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and IShares is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Franklin FTSE India and iShares Latin America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Latin America 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 India are associated (or correlated) with IShares Latin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Latin America has no effect on the direction of Franklin FTSE i.e., Franklin FTSE and IShares Latin go up and down completely randomly.
Pair Corralation between Franklin FTSE and IShares Latin
Given the investment horizon of 90 days Franklin FTSE India is expected to generate 0.55 times more return on investment than IShares Latin. However, Franklin FTSE India is 1.82 times less risky than IShares Latin. It trades about 0.05 of its potential returns per unit of risk. iShares Latin America is currently generating about -0.23 per unit of risk. If you would invest 3,819 in Franklin FTSE India on September 22, 2024 and sell it today you would earn a total of 30.00 from holding Franklin FTSE India or generate 0.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin FTSE India vs. iShares Latin America
Performance |
Timeline |
Franklin FTSE India |
iShares Latin America |
Franklin FTSE and IShares Latin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin FTSE and IShares Latin
The main advantage of trading using opposite Franklin FTSE and IShares Latin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin FTSE position performs unexpectedly, IShares Latin 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 IShares Latin will offset losses from the drop in IShares Latin's long position.Franklin FTSE vs. iShares MSCI India | Franklin FTSE vs. Invesco India ETF | Franklin FTSE vs. iShares MSCI India | Franklin FTSE vs. WisdomTree India Earnings |
IShares Latin vs. Franklin FTSE Mexico | IShares Latin vs. Franklin FTSE India | IShares Latin vs. Franklin FTSE South | IShares Latin 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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