Correlation Between Exela Technologies and Ivy Science
Can any of the company-specific risk be diversified away by investing in both Exela Technologies and Ivy Science 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 Exela Technologies and Ivy Science into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exela Technologies Preferred and Ivy Science And, you can compare the effects of market volatilities on Exela Technologies and Ivy Science 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 Exela Technologies with a short position of Ivy Science. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exela Technologies and Ivy Science.
Diversification Opportunities for Exela Technologies and Ivy Science
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Exela and Ivy is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Exela Technologies Preferred and Ivy Science And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ivy Science And and Exela Technologies 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 Exela Technologies Preferred are associated (or correlated) with Ivy Science. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ivy Science And has no effect on the direction of Exela Technologies i.e., Exela Technologies and Ivy Science go up and down completely randomly.
Pair Corralation between Exela Technologies and Ivy Science
Assuming the 90 days horizon Exela Technologies Preferred is expected to under-perform the Ivy Science. In addition to that, Exela Technologies is 7.67 times more volatile than Ivy Science And. It trades about -0.44 of its total potential returns per unit of risk. Ivy Science And is currently generating about 0.06 per unit of volatility. If you would invest 8,025 in Ivy Science And on August 28, 2024 and sell it today you would earn a total of 122.00 from holding Ivy Science And or generate 1.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 61.9% |
Values | Daily Returns |
Exela Technologies Preferred vs. Ivy Science And
Performance |
Timeline |
Exela Technologies |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Ivy Science And |
Exela Technologies and Ivy Science Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Exela Technologies and Ivy Science
The main advantage of trading using opposite Exela Technologies and Ivy Science positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exela Technologies position performs unexpectedly, Ivy Science 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 Ivy Science will offset losses from the drop in Ivy Science's long position.Exela Technologies vs. Lytus Technologies Holdings | Exela Technologies vs. Quoin Pharmaceuticals Ltd | Exela Technologies vs. HeartCore Enterprises | Exela Technologies vs. Soluna Holdings Preferred |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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