Correlation Between ARK Autonomous and Franklin FTSE
Can any of the company-specific risk be diversified away by investing in both ARK Autonomous 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 ARK Autonomous and Franklin FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARK Autonomous Technology and Franklin FTSE China, you can compare the effects of market volatilities on ARK Autonomous 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 ARK Autonomous with a short position of Franklin FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARK Autonomous and Franklin FTSE.
Diversification Opportunities for ARK Autonomous and Franklin FTSE
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ARK and Franklin is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding ARK Autonomous Technology and Franklin FTSE China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin FTSE China and ARK Autonomous 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 ARK Autonomous Technology 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 China has no effect on the direction of ARK Autonomous i.e., ARK Autonomous and Franklin FTSE go up and down completely randomly.
Pair Corralation between ARK Autonomous and Franklin FTSE
Given the investment horizon of 90 days ARK Autonomous Technology is expected to generate 2.07 times more return on investment than Franklin FTSE. However, ARK Autonomous is 2.07 times more volatile than Franklin FTSE China. It trades about 0.09 of its potential returns per unit of risk. Franklin FTSE China is currently generating about -0.14 per unit of risk. If you would invest 8,135 in ARK Autonomous Technology on October 25, 2024 and sell it today you would earn a total of 290.00 from holding ARK Autonomous Technology or generate 3.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ARK Autonomous Technology vs. Franklin FTSE China
Performance |
Timeline |
ARK Autonomous Technology |
Franklin FTSE China |
ARK Autonomous and Franklin FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARK Autonomous and Franklin FTSE
The main advantage of trading using opposite ARK Autonomous and Franklin FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARK Autonomous 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.ARK Autonomous vs. ARK Fintech Innovation | ARK Autonomous vs. ARK Next Generation | ARK Autonomous vs. ARK Genomic Revolution | ARK Autonomous vs. ARK Innovation ETF |
Franklin FTSE vs. Franklin FTSE South | Franklin FTSE vs. Franklin FTSE Japan | Franklin FTSE vs. Franklin FTSE India | Franklin FTSE vs. Franklin FTSE Brazil |
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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