Correlation Between Direxion Daily and IFAN Financial
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and IFAN Financial 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 Direxion Daily and IFAN Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Direxion Daily Mid and IFAN Financial, you can compare the effects of market volatilities on Direxion Daily and IFAN Financial 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 Direxion Daily with a short position of IFAN Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and IFAN Financial.
Diversification Opportunities for Direxion Daily and IFAN Financial
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Direxion and IFAN is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and IFAN Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IFAN Financial and Direxion Daily 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 Direxion Daily Mid are associated (or correlated) with IFAN Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IFAN Financial has no effect on the direction of Direxion Daily i.e., Direxion Daily and IFAN Financial go up and down completely randomly.
Pair Corralation between Direxion Daily and IFAN Financial
Given the investment horizon of 90 days Direxion Daily is expected to generate 11.89 times less return on investment than IFAN Financial. But when comparing it to its historical volatility, Direxion Daily Mid is 11.61 times less risky than IFAN Financial. It trades about 0.28 of its potential returns per unit of risk. IFAN Financial is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 0.01 in IFAN Financial on September 5, 2024 and sell it today you would earn a total of 0.02 from holding IFAN Financial or generate 200.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Direxion Daily Mid vs. IFAN Financial
Performance |
Timeline |
Direxion Daily Mid |
IFAN Financial |
Direxion Daily and IFAN Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and IFAN Financial
The main advantage of trading using opposite Direxion Daily and IFAN Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, IFAN Financial 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 IFAN Financial will offset losses from the drop in IFAN Financial's long position.Direxion Daily vs. Direxion Daily Retail | Direxion Daily vs. Direxion Daily Industrials | Direxion Daily vs. Direxion Daily Transportation | Direxion Daily vs. Direxion Daily FTSE |
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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 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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