Correlation Between Direxion Daily and Penns Woods
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and Penns Woods 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 Penns Woods 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 Penns Woods Bancorp, you can compare the effects of market volatilities on Direxion Daily and Penns Woods 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 Penns Woods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and Penns Woods.
Diversification Opportunities for Direxion Daily and Penns Woods
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Direxion and Penns is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and Penns Woods Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penns Woods Bancorp 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 Penns Woods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penns Woods Bancorp has no effect on the direction of Direxion Daily i.e., Direxion Daily and Penns Woods go up and down completely randomly.
Pair Corralation between Direxion Daily and Penns Woods
Given the investment horizon of 90 days Direxion Daily Mid is expected to under-perform the Penns Woods. In addition to that, Direxion Daily is 2.25 times more volatile than Penns Woods Bancorp. It trades about -0.09 of its total potential returns per unit of risk. Penns Woods Bancorp is currently generating about -0.07 per unit of volatility. If you would invest 3,041 in Penns Woods Bancorp on December 26, 2024 and sell it today you would lose (192.00) from holding Penns Woods Bancorp or give up 6.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Direxion Daily Mid vs. Penns Woods Bancorp
Performance |
Timeline |
Direxion Daily Mid |
Penns Woods Bancorp |
Direxion Daily and Penns Woods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and Penns Woods
The main advantage of trading using opposite Direxion Daily and Penns Woods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, Penns Woods 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 Penns Woods will offset losses from the drop in Penns Woods' 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 |
Penns Woods vs. 1st Source | Penns Woods vs. Great Southern Bancorp | Penns Woods vs. Waterstone Financial | Penns Woods vs. First Community |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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